[
  {
    "path": ".gitignore",
    "content": "**/*gpt-2-small-transcoders\n**/*.ipynb_checkpoints\n**/*__pycache__\n"
  },
  {
    "path": "README.md",
    "content": "# Transcoder-circuits: reverse-engineering LLM circuits with transcoders\n\nThis repository contains tools for understanding what's going on inside large language models by using a tool called \"transcoders\". Transcoders decompose MLP sublayers in transformer models into a sparse linear combination of interpretable features. By using transcoders, we can reverse-engineer fine-grained circuits of features within the model.\n\nTo get started, first run `bash setup.sh` to install dependencies and [download transcoder weights](https://huggingface.co/pchlenski/gpt2-transcoders). Then, to learn how to use `transcoder_circuits`, we recommend working through the `walkthrough.ipynb` notebook. The full structure of the repository is as follows:\n\n* Installation tools:\n  * `setup.sh`: A shell script for installing dependencies and downloading transcoder weights.\n  * `requirements.txt`: The standard Python dependencies list.\n* Examples:\n  * `walkthrough.ipynb`: A walkthrough notebook that demonstrates how to use the tools provided in this repository for reverse-engineering LLM circuits with transcoders.\n  * `train_transcoder.py`: An example script for training a transcoder.\n* Experimental results;\n  * `sweep.ipynb`: An evaluation of transcoders and SAEs trained on Pythia-410M (weights not provided).\n  * `interp-comparison.ipynb`: Code for performing a blind comparison of SAE and transcoder feature interpretability\n* Case studies:\n  * `case_study_citations.ipynb`: An example of a reverse-engineering case study that we carried out, in which we investigated a transcoder feature that activates on semicolons in parenthetical citations.\n  * `case_study_caught.ipynb`: An example of a reverse-engineering case study that we carried out, in which we investigated a transcoder feature that activates on the verb \"caught\".\n  * `case_study_local_context.ipynb`: An example of a reverse-engineering case study that we carried out, in which we attempted to reverse-engineer a circuit that computes a harder-to-interpret transcoder feature. (We were less successful in this case study, but are including it in the interest of transparency.)\n  * `restricted blind case studies.ipynb`: A notebook containing a set of \"restricted blind case studies\" that reverse-engineer random GPT2-small transcoder features *without looking at MLP0 transcoder feature activations*.\n* Libraries:\n  * `sae_training/`: Code for training and using transcoders. The code is largely based on an older version of [Joseph Bloom's excellent SAE repository](https://github.com/jbloomAus/SAELens) -- **shoutouts to him!**. (The misnomer `sae_training` is a vestige of this origin of the code.)\n  * `transcoder_circuits/`: Code for reverse-engineering and analyzing circuits with transcoders. These are the tools that we use in the walkthrough notebook and in the case studies.\n"
  },
  {
    "path": "__init__.py",
    "content": ""
  },
  {
    "path": "case_study_caught.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"85b8a651-baa3-4772-85ec-a3bb10d1851a\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Blind case study: \\\"caught\\\" feature\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9b0845aa-18c6-4bb5-88be-6d8181fdac8d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"fe44ab3a-14ff-4ec5-b3f8-070a7ad3d21a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b112aadf-0e92-440e-80a0-a3217751a81d\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load model\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"1845441e-479b-43f9-9bfa-b03636741045\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"e9996a62-57c5-48a4-a980-b378a00d39fd\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"model = HookedTransformer.from_pretrained('gpt2')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bd405cee-8f23-4a85-bf74-b3dd547fb6d1\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"## Loading data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"529c4b1b-d53e-4101-bed1-f5dc474d09cc\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ceaa36a0-7f48-4578-8096-2a7d1b0a52cf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Token indices sequence length is longer than the specified maximum sequence length for this model (73252 > 1024). Running this sequence through the model will result in indexing errors\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"e0f0c9b6-b9c4-49a6-9010-1da084394d4b\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"80d2b740-685d-48ce-9447-82fd95eaef9d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Load transcoders\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"c41039eb-f23a-4f50-9fa4-8c8d2acb7da0\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"transcoders = []\\n\",\n    \"sparsities = []\\n\",\n    \"for i in range(12):\\n\",\n    \"    transcoders.append(SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(i)}.pt\\\").eval())\\n\",\n    \"    sparsities.append(torch.load(f\\\"{transcoder_template.format(i)}_log_feature_sparsity.pt\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"e132f002-2a79-43c1-be56-9d99bd6306f3\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1e994b6a-441d-415f-9f22-0304d77c65c2\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load transcoder 8 feature frequency info\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"184024c2-34c4-4665-8682-143504a0083a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"live_features = np.arange(len(sparsities[8]))[utils.to_numpy(sparsities[8] > -4)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"3bb3a311-bc60-4d38-b01d-a45592909a29\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"np.mean(transcoders_losses['real_losses']),\\\\\\n\",\n    \"    np.mean(transcoders_losses['transcoder_losses']),\\\\\\n\",\n    \"    np.mean(transcoders_losses['ablated_losses'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"9e386c34-0f88-4a56-8895-9d31f8288d06\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoders_losses = eval_transcoders_cross_entropy(model, transcoders[1:11], only_get_transcoder_loss=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"50507a1f-e8b9-454e-b4aa-be8d66988bf9\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"np.mean(transcoders_losses['transcoder_losses'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6a3c60b1-ef53-4728-8e89-0be0d4f25aed\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Blind feature case study! (`live_features[200]`)\\n\",\n    \"\\n\",\n    \"In a blind feature case study, we try to begin by reverse-engineering a transcoder feature *without looking at the top-activating examples*. We then form a hypothesis about what the transcoder feature is computing, and only after having done so do we look at the top-activating examples to see if our hypothesis is supported.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"id\": \"3ae596cd-f8db-43d1-8be2-21e3de61bc21\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[235]@-1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[200]\\n\",\n    \"my_feature = make_sae_feature_vector(transcoders[8], feature_idx, use_encoder=True, token=-1)\\n\",\n    \"print(my_feature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"id\": \"b5f38c87-c783-4b34-a35e-ee7e8eb15573\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:33<00:00,  2.97it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# get scores\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch[:128*100], feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"uniform_samples = sample_uniform(scores, num_samples=50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"441d7f24-6771-40e4-9013-fd46a799a2c7\",\n   \"metadata\": {},\n   \"source\": [\n    \"Let's get the indices of sufficiently-highly activating examples.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"id\": \"63e40f89-6691-4b5e-812f-253653a95110\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[ 0.      0.4524  0.9155  1.369   1.837   2.318   2.746   3.064   3.65\\n\",\n      \"  4.14    4.58    5.06    5.414   5.965   6.156   6.66    7.348   7.85\\n\",\n      \"  8.68   10.414  10.664  11.77   12.6    12.83   13.12   13.96   14.98\\n\",\n      \" 15.55   15.766  16.45   17.14   17.44   17.73   18.36   18.75   19.38\\n\",\n      \" 19.64   20.17   20.64   21.19   21.4    21.88   22.4   ]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"uniform_scores, uniform_idxs = uniform_samples[0], uniform_samples[1]\\n\",\n    \"print(uniform_scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"id\": \"6dda5490-7d40-4e88-9453-335ff02ce2cf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 9687   105]\\n\",\n      \" [  837    13]\\n\",\n      \" [ 1399   123]\\n\",\n      \" [11713    34]\\n\",\n      \" [ 4644    86]\\n\",\n      \" [ 6801    70]\\n\",\n      \" [ 1417    46]\\n\",\n      \" [  817    63]\\n\",\n      \" [ 8531   111]\\n\",\n      \" [  755    73]\\n\",\n      \" [ 6299    39]\\n\",\n      \" [ 1077   112]\\n\",\n      \" [11390    41]]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"threshold = 17.0\\n\",\n    \"uniform_idxs = uniform_idxs[uniform_scores>threshold]\\n\",\n    \"uniform_scores = uniform_scores[uniform_scores>threshold]\\n\",\n    \"print(uniform_idxs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9f8c1dca-44d0-48c8-b272-d6b9d3e6bb40\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 8531, 111\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"id\": \"eaa5f87b-5c37-41e3-b2fd-8bea10de6e6c\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[8531, :111+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"id\": \"524d31b0-4871-4c9d-b949-f8898154d7f9\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01\\n\",\n      \"Path [0][1]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01\\n\",\n      \"Path [0][2]: mlp8tc[235]@-1 <- mlp6tc[22733]@111: 7.9\\n\",\n      \"Path [0][3]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9\\n\",\n      \"Path [0][4]: mlp8tc[235]@-1 <- mlp5tc[11575]@111: 5.7\\n\",\n      \"Path [0][5]: mlp8tc[235]@-1 <- mlp4tc[21770]@111: 5.6\\n\",\n      \"Path [0][6]: mlp8tc[235]@-1 <- mlp2tc[17511]@111: 4.8\\n\",\n      \"Path [0][7]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4\\n\",\n      \"Path [0][8]: mlp8tc[235]@-1 <- attn5[7]@111: 3.6\\n\",\n      \"Path [0][9]: mlp8tc[235]@-1 <- attn0[4]@111: 2.5\\n\",\n      \"Path [0][10]: mlp8tc[235]@-1 <- attn0[1]@111: 2.2\\n\",\n      \"Path [0][11]: mlp8tc[235]@-1 <- attn0[5]@111: 1.6\\n\",\n      \"Path [0][12]: mlp8tc[235]@-1 <- mlp7tc[760]@111: 1.4\\n\",\n      \"Path [0][13]: mlp8tc[235]@-1 <- attn8[4]@111: 1.4\\n\",\n      \"Path [0][14]: mlp8tc[235]@-1 <- embed0@111: 1.3\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01 <- attn0[1]@111: 6.1\\n\",\n      \"Path [1][1]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01 <- attn0[4]@111: 5.6\\n\",\n      \"Path [1][2]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01 <- embed0@111: 5.5\\n\",\n      \"Path [1][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp0tc[1636]@111: 5.3\\n\",\n      \"Path [1][4]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01 <- attn0[3]@111: 5.0\\n\",\n      \"Path [1][5]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4 <- mlp0tc[1636]@111: 4.4\\n\",\n      \"Path [1][6]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9 <- mlp0tc[1636]@111: 4.3\\n\",\n      \"Path [1][7]: mlp8tc[235]@-1 <- mlp2tc[17511]@111: 4.8 <- mlp0tc[1636]@111: 3.6\\n\",\n      \"Path [1][8]: mlp8tc[235]@-1 <- mlp0tc[1636]@111: 1.5e+01 <- attn0[5]@111: 3.1\\n\",\n      \"Path [1][9]: mlp8tc[235]@-1 <- mlp4tc[21770]@111: 5.6 <- mlp0tc[1636]@111: 3.0\\n\",\n      \"Path [1][10]: mlp8tc[235]@-1 <- mlp6tc[22733]@111: 7.9 <- mlp0tc[1636]@111: 2.9\\n\",\n      \"Path [1][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp6tc[22733]@111: 2.8\\n\",\n      \"Path [1][12]: mlp8tc[235]@-1 <- mlp5tc[11575]@111: 5.7 <- mlp0tc[1636]@111: 2.6\\n\",\n      \"Path [1][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp5tc[11575]@111: 2.2\\n\",\n      \"Path [1][14]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4 <- mlp0tc[1636]@111: 4.4 <- attn0[1]@111: 2.3\\n\",\n      \"Path [2][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp0tc[1636]@111: 5.3 <- attn0[1]@111: 2.1\\n\",\n      \"Path [2][2]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4 <- mlp0tc[1636]@111: 4.4 <- attn0[4]@111: 2.0\\n\",\n      \"Path [2][3]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4 <- mlp0tc[1636]@111: 4.4 <- embed0@111: 2.0\\n\",\n      \"Path [2][4]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp0tc[1636]@111: 5.3 <- attn0[4]@111: 1.9\\n\",\n      \"Path [2][5]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp0tc[1636]@111: 5.3 <- embed0@111: 1.9\\n\",\n      \"Path [2][6]: mlp8tc[235]@-1 <- mlp1tc[4598]@111: 4.4 <- mlp0tc[1636]@111: 4.4 <- attn0[3]@111: 1.8\\n\",\n      \"Path [2][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp0tc[1636]@111: 5.3 <- attn0[3]@111: 1.7\\n\",\n      \"Path [2][8]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9 <- mlp0tc[1636]@111: 4.3 <- attn0[1]@111: 1.7\\n\",\n      \"Path [2][9]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9 <- mlp0tc[1636]@111: 4.3 <- attn0[4]@111: 1.6\\n\",\n      \"Path [2][10]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9 <- mlp0tc[1636]@111: 4.3 <- embed0@111: 1.6\\n\",\n      \"Path [2][11]: mlp8tc[235]@-1 <- mlp2tc[17511]@111: 4.8 <- mlp0tc[1636]@111: 3.6 <- attn0[1]@111: 1.5\\n\",\n      \"Path [2][12]: mlp8tc[235]@-1 <- mlp3tc[7628]@111: 6.9 <- mlp0tc[1636]@111: 4.3 <- attn0[3]@111: 1.4\\n\",\n      \"Path [2][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3\\n\",\n      \"Path [2][14]: mlp8tc[235]@-1 <- mlp2tc[17511]@111: 4.8 <- mlp0tc[1636]@111: 3.6 <- attn0[4]@111: 1.3\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[1]@111: 0.53\\n\",\n      \"Path [3][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[4]@111: 0.48\\n\",\n      \"Path [3][2]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- embed0@111: 0.48\\n\",\n      \"Path [3][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[3]@111: 0.43\\n\",\n      \"Path [3][4]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[5]@111: 0.27\\n\",\n      \"Path [3][5]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[10]@111: 0.039\\n\",\n      \"Path [3][6]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[7]@110: 0.026\\n\",\n      \"Path [3][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[7]@109: 0.022\\n\",\n      \"Path [3][8]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[7]@111: 0.011\\n\",\n      \"Path [3][9]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[0]@111: 0.011\\n\",\n      \"Path [3][10]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[7]@108: 0.0059\\n\",\n      \"Path [3][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[9]@105: 0.0057\\n\",\n      \"Path [3][12]: mlp8tc[235]@-1 <- mlp7tc[14382]@111: 2.1e+01 <- mlp3tc[7628]@111: 2.1 <- mlp0tc[1636]@111: 1.3 <- attn0[6]@111: 0.0055\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"8c5484b6-6fbb-48ea-9f6f-14d80aa6b706\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like almost all of our importance comes from the final token in the input. \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"38350afb-c6b3-4da3-99cb-ca3147880d9f\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Input-independent information\\n\",\n    \"\\n\",\n    \"Let's look at `mlp7tc[14382]@-1`. Which MLP0 transcoder features is it -- input-indepedently -- most connected to?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"id\": \"e32b5995-22ac-459d-881b-2c41b83d4312\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp7tc[14382]@-1: 2.1e+01\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"cur_feature = all_paths[2][1][1]\\n\",\n    \"print(cur_feature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"id\": \"bcc84359-62fe-494a-a5cd-91c6f53697a7\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa3a3'>7663</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.134</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>1636</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.240</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>12244</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.126</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>5637</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.174</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>17940</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.124</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9b9bff'>3981</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.157</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>20252</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.123</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>14013</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.135</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>733</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.122</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a6a6ff'>11383</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.124</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>10149</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.122</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a8a8ff'>6881</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.120</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>1232</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.122</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a8a8ff'>18968</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.118</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, cur_feature, transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"id\": \"560b0951-8a85-41dd-9ffb-62f6ef86233f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>&nbsp;SG</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.597</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;caught</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.371</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>naires</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.568</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>aught</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.743</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 1636, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"id\": \"bee4eb20-376b-452a-8cb5-b50ec0ec6324\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffabab'>&nbsp;appell</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.925</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;captured</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.070</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>choice</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.823</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>&nbsp;caught</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.444</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 5637, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"id\": \"628941cd-a191-44fc-afce-cbd109319e15\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>&nbsp;Ukrain</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.887</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>catch</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.825</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>&nbsp;pawn</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.868</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>&nbsp;catch</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.719</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 3981, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"id\": \"07dd5350-fc80-4e0e-91d4-d20119f57228\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>&nbsp;Unic</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.806</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;Avery</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.084</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>inary</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.615</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>&nbsp;Bundy</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.977</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffabab'>&nbsp;Stra</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.266</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>endez</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.754</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>&nbsp;Engineers</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.222</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;Dah</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.612</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>&nbsp;Churchill</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.217</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;meth</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.583</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 14013, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"id\": \"066ee07a-6939-43ad-b690-efc32d85f778\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>&nbsp;JJ</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.986</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;uncovered</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.767</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>quit</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.789</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>&nbsp;uncover</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.013</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 11383, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e3d2e651-86fa-47b6-aace-237e05035014\",\n   \"metadata\": {},\n   \"source\": [\n    \"*Current hypothesis*: feature fires on forms of the verb \\\"catch\\\", \\\"captured\\\". Probably news articles about criminals?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"542408ff-8a54-4c94-a9a0-d90388462088\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 6299, 39\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"id\": \"b28703d8-fbb9-4c87-8501-f09ce6c3bdf5\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[6299, :39+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"id\": \"5e0f15d6-d64b-4d8c-a64c-c3a5e2e47e73\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01\\n\",\n      \"Path [0][1]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01\\n\",\n      \"Path [0][2]: mlp8tc[235]@-1 <- mlp6tc[22733]@-1: 8.3\\n\",\n      \"Path [0][3]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1\\n\",\n      \"Path [0][4]: mlp8tc[235]@-1 <- mlp5tc[11575]@-1: 6.3\\n\",\n      \"Path [0][5]: mlp8tc[235]@-1 <- mlp4tc[21770]@-1: 6.0\\n\",\n      \"Path [0][6]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.8\\n\",\n      \"Path [0][7]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6\\n\",\n      \"Path [0][8]: mlp8tc[235]@-1 <- attn8[4]@39: 3.0\\n\",\n      \"Path [0][9]: mlp8tc[235]@-1 <- attn0[4]@39: 2.4\\n\",\n      \"Path [0][10]: mlp8tc[235]@-1 <- attn5[7]@39: 2.3\\n\",\n      \"Path [0][11]: mlp8tc[235]@-1 <- attn0[1]@39: 2.0\\n\",\n      \"Path [0][12]: mlp8tc[235]@-1 <- attn0[5]@39: 1.6\\n\",\n      \"Path [0][13]: mlp8tc[235]@-1 <- mlp2tc[6202]@-1: 1.6\\n\",\n      \"Path [0][14]: mlp8tc[235]@-1 <- mlp7tc[18519]@-1: 1.4\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01 <- embed0@-1: 6.1\\n\",\n      \"Path [1][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp0tc[1636]@-1: 5.9\\n\",\n      \"Path [1][2]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01 <- attn0[1]@39: 5.7\\n\",\n      \"Path [1][3]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01 <- attn0[4]@39: 5.4\\n\",\n      \"Path [1][4]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01 <- attn0[3]@39: 5.2\\n\",\n      \"Path [1][5]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1 <- mlp0tc[1636]@-1: 4.7\\n\",\n      \"Path [1][6]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6 <- mlp0tc[1636]@-1: 4.6\\n\",\n      \"Path [1][7]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.8 <- mlp0tc[1636]@-1: 3.9\\n\",\n      \"Path [1][8]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.7e+01 <- attn0[5]@39: 3.4\\n\",\n      \"Path [1][9]: mlp8tc[235]@-1 <- mlp4tc[21770]@-1: 6.0 <- mlp0tc[1636]@-1: 3.3\\n\",\n      \"Path [1][10]: mlp8tc[235]@-1 <- mlp6tc[22733]@-1: 8.3 <- mlp0tc[1636]@-1: 3.1\\n\",\n      \"Path [1][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp6tc[22733]@-1: 2.9\\n\",\n      \"Path [1][12]: mlp8tc[235]@-1 <- mlp5tc[11575]@-1: 6.3 <- mlp0tc[1636]@-1: 2.8\\n\",\n      \"Path [1][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp5tc[11575]@-1: 2.4\\n\",\n      \"Path [1][14]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6 <- mlp0tc[1636]@-1: 4.6 <- embed0@-1: 2.2\\n\",\n      \"Path [2][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp0tc[1636]@-1: 5.9 <- embed0@-1: 2.1\\n\",\n      \"Path [2][2]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6 <- mlp0tc[1636]@-1: 4.6 <- attn0[1]@39: 2.1\\n\",\n      \"Path [2][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp0tc[1636]@-1: 5.9 <- attn0[1]@39: 2.0\\n\",\n      \"Path [2][4]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6 <- mlp0tc[1636]@-1: 4.6 <- attn0[4]@39: 2.0\\n\",\n      \"Path [2][5]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.6 <- mlp0tc[1636]@-1: 4.6 <- attn0[3]@39: 1.9\\n\",\n      \"Path [2][6]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp0tc[1636]@-1: 5.9 <- attn0[4]@39: 1.9\\n\",\n      \"Path [2][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp0tc[1636]@-1: 5.9 <- attn0[3]@39: 1.8\\n\",\n      \"Path [2][8]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1 <- mlp0tc[1636]@-1: 4.7 <- embed0@-1: 1.7\\n\",\n      \"Path [2][9]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1 <- mlp0tc[1636]@-1: 4.7 <- attn0[1]@39: 1.6\\n\",\n      \"Path [2][10]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1 <- mlp0tc[1636]@-1: 4.7 <- attn0[4]@39: 1.5\\n\",\n      \"Path [2][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5\\n\",\n      \"Path [2][12]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 7.1 <- mlp0tc[1636]@-1: 4.7 <- attn0[3]@39: 1.4\\n\",\n      \"Path [2][13]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.8 <- mlp0tc[1636]@-1: 3.9 <- embed0@-1: 1.4\\n\",\n      \"Path [2][14]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.8 <- mlp0tc[1636]@-1: 3.9 <- attn0[1]@39: 1.3\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- embed0@-1: 0.53\\n\",\n      \"Path [3][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[1]@39: 0.49\\n\",\n      \"Path [3][2]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[4]@39: 0.46\\n\",\n      \"Path [3][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[3]@39: 0.45\\n\",\n      \"Path [3][4]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[5]@39: 0.29\\n\",\n      \"Path [3][5]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[10]@39: 0.039\\n\",\n      \"Path [3][6]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[7]@38: 0.039\\n\",\n      \"Path [3][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[7]@36: 0.022\\n\",\n      \"Path [3][8]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[6]@29: 0.021\\n\",\n      \"Path [3][9]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[7]@35: 0.016\\n\",\n      \"Path [3][10]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[0]@39: 0.015\\n\",\n      \"Path [3][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[6]@33: 0.01\\n\",\n      \"Path [3][12]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 2.2e+01 <- mlp3tc[7628]@-1: 2.2 <- mlp0tc[1636]@-1: 1.5 <- attn0[6]@39: 0.0095\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"4d5449b7-4e58-4c75-a523-fcc7f53f386b\",\n   \"metadata\": {},\n   \"source\": [\n    \"Again, almost all computational paths depend on last token; again, `mlp7tc[14382]` and `mlp0tc[1636]` are the main players.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"fd2ab57e-14ec-478a-9938-c23c6249457e\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 817, 63\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"id\": \"dac49238-09bd-4066-81e7-0e82fe0b500a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[817, :63+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"id\": \"2180b21a-fa09-447d-be8f-382be8922a99\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01\\n\",\n      \"Path [0][1]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01\\n\",\n      \"Path [0][2]: mlp8tc[235]@-1 <- mlp6tc[22733]@-1: 6.4\\n\",\n      \"Path [0][3]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1\\n\",\n      \"Path [0][4]: mlp8tc[235]@-1 <- mlp5tc[11575]@-1: 4.4\\n\",\n      \"Path [0][5]: mlp8tc[235]@-1 <- mlp4tc[21770]@-1: 4.3\\n\",\n      \"Path [0][6]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.0\\n\",\n      \"Path [0][7]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0\\n\",\n      \"Path [0][8]: mlp8tc[235]@-1 <- attn8[4]@63: 2.7\\n\",\n      \"Path [0][9]: mlp8tc[235]@-1 <- attn0[4]@63: 2.4\\n\",\n      \"Path [0][10]: mlp8tc[235]@-1 <- attn0[1]@63: 2.1\\n\",\n      \"Path [0][11]: mlp8tc[235]@-1 <- attn0[5]@63: 1.6\\n\",\n      \"Path [0][12]: mlp8tc[235]@-1 <- attn1[0]@62: 1.4\\n\",\n      \"Path [0][13]: mlp8tc[235]@-1 <- mlp7tc[18519]@-1: 1.3\\n\",\n      \"Path [0][14]: mlp8tc[235]@-1 <- mlp7tc[23744]@-1: 1.3\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01 <- embed0@-1: 5.7\\n\",\n      \"Path [1][1]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01 <- attn0[1]@63: 5.7\\n\",\n      \"Path [1][2]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp0tc[1636]@-1: 5.4\\n\",\n      \"Path [1][3]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01 <- attn0[4]@63: 5.3\\n\",\n      \"Path [1][4]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01 <- attn0[3]@63: 5.0\\n\",\n      \"Path [1][5]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1 <- mlp0tc[1636]@-1: 4.3\\n\",\n      \"Path [1][6]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0 <- mlp0tc[1636]@-1: 4.0\\n\",\n      \"Path [1][7]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.0 <- mlp0tc[1636]@-1: 3.6\\n\",\n      \"Path [1][8]: mlp8tc[235]@-1 <- mlp0tc[1636]@-1: 1.6e+01 <- attn0[5]@63: 3.2\\n\",\n      \"Path [1][9]: mlp8tc[235]@-1 <- mlp4tc[21770]@-1: 4.3 <- mlp0tc[1636]@-1: 3.0\\n\",\n      \"Path [1][10]: mlp8tc[235]@-1 <- mlp6tc[22733]@-1: 6.4 <- mlp0tc[1636]@-1: 3.0\\n\",\n      \"Path [1][11]: mlp8tc[235]@-1 <- mlp5tc[11575]@-1: 4.4 <- mlp0tc[1636]@-1: 2.7\\n\",\n      \"Path [1][12]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp6tc[22733]@-1: 2.3\\n\",\n      \"Path [1][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9\\n\",\n      \"Path [1][14]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0 <- mlp0tc[1636]@-1: 4.0 <- embed0@-1: 2.0\\n\",\n      \"Path [2][1]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0 <- mlp0tc[1636]@-1: 4.0 <- attn0[1]@63: 2.0\\n\",\n      \"Path [2][2]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp0tc[1636]@-1: 5.4 <- embed0@-1: 2.0\\n\",\n      \"Path [2][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp0tc[1636]@-1: 5.4 <- attn0[1]@63: 2.0\\n\",\n      \"Path [2][4]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0 <- mlp0tc[1636]@-1: 4.0 <- attn0[4]@63: 1.9\\n\",\n      \"Path [2][5]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp0tc[1636]@-1: 5.4 <- attn0[4]@63: 1.9\\n\",\n      \"Path [2][6]: mlp8tc[235]@-1 <- mlp1tc[4598]@-1: 4.0 <- mlp0tc[1636]@-1: 4.0 <- attn0[3]@63: 1.8\\n\",\n      \"Path [2][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp0tc[1636]@-1: 5.4 <- attn0[3]@63: 1.8\\n\",\n      \"Path [2][8]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8\\n\",\n      \"Path [2][9]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1 <- mlp0tc[1636]@-1: 4.3 <- embed0@-1: 1.6\\n\",\n      \"Path [2][10]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1 <- mlp0tc[1636]@-1: 4.3 <- attn0[1]@63: 1.6\\n\",\n      \"Path [2][11]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1 <- mlp0tc[1636]@-1: 4.3 <- attn0[4]@63: 1.5\\n\",\n      \"Path [2][12]: mlp8tc[235]@-1 <- mlp3tc[7628]@-1: 6.1 <- mlp0tc[1636]@-1: 4.3 <- attn0[3]@63: 1.4\\n\",\n      \"Path [2][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3\\n\",\n      \"Path [2][14]: mlp8tc[235]@-1 <- mlp2tc[17511]@-1: 4.0 <- mlp0tc[1636]@-1: 3.6 <- embed0@-1: 1.3\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- embed0@-1: 0.9\\n\",\n      \"Path [3][1]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[1]@63: 0.89\\n\",\n      \"Path [3][2]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[4]@63: 0.83\\n\",\n      \"Path [3][3]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[3]@63: 0.79\\n\",\n      \"Path [3][4]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[5]@63: 0.51\\n\",\n      \"Path [3][5]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- embed0@-1: 0.5\\n\",\n      \"Path [3][6]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- attn0[1]@63: 0.49\\n\",\n      \"Path [3][7]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- attn0[4]@63: 0.46\\n\",\n      \"Path [3][8]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- attn0[3]@63: 0.44\\n\",\n      \"Path [3][9]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- attn0[5]@63: 0.28\\n\",\n      \"Path [3][10]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[10]@63: 0.065\\n\",\n      \"Path [3][11]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[7]@61: 0.04\\n\",\n      \"Path [3][12]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp3tc[7628]@-1: 1.9 <- mlp0tc[1636]@-1: 1.3 <- attn0[10]@63: 0.036\\n\",\n      \"Path [3][13]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[7]@62: 0.031\\n\",\n      \"Path [3][14]: mlp8tc[235]@-1 <- mlp7tc[14382]@-1: 1.8e+01 <- mlp1tc[4598]@-1: 1.8 <- mlp0tc[1636]@-1: 1.8 <- attn0[0]@63: 0.025\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"dcbbce5a-2a7e-42fc-99a6-62b7ee58de31\",\n   \"metadata\": {},\n   \"source\": [\n    \"Same pattern as before.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f8981450-1540-49e7-b02d-5effff72af00\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Moment of truth: confirming/denying our hypothesis\\n\",\n    \"\\n\",\n    \"**Final hypothesis**: largely single-token feature that fires on \\\"caught\\\", \\\"captured\\\", \\\"uncovered\\\", and similar (particularly past-tense) forms of the verb \\\"to catch\\\".\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"id\": \"07b7cf70-bcf4-4a99-874c-2c1cc86203b6\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<h3 style='font-family: serif'>Sparsity: 0.0203%</h3>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 22.41 and 26.89: 0.0001%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sugar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Man<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (22.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> battle<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (0.00)</span></span><span> Example 11390, token 41</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 17.93 and 22.41: 0.0013%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>If<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;re<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> all<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa02e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (18.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> current<span class='feature_val'> (0.00)</span></span><span> Example 11713, token 34</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> players<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> can<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9e29'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (18.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> treadmill<span class='feature_val'> (0.00)</span></span><span> Example 4644, token 86</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> individuals<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9b22'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (19.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> web<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.&quot;<span class='feature_val'> (0.00)</span></span><span> Example 6801, token 70</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> str<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ays<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> eventually<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> gets<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9a1f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (19.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> woman<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span> Example 1417, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> only<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> issue<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> getting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9719'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (20.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pretty<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> much<span class='feature_val'> (0.00)</span></span><span> Example 817, token 63</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>hall<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> initially<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> appeared<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9514'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (20.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> flat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>footed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span> Example 8531, token 111</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Electric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Utilities<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Board<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff920d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (21.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> middle<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 755, token 73</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>He<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff910b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (21.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Malaysia<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span> Example 6299, token 39</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Found<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sometimes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8e06'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (21.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefbf6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.76)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> trying<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span> Example 1077, token 112</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sugar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Man<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (22.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> battle<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (0.00)</span></span><span> Example 11390, token 41</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 13.44 and 17.93: 0.0010%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> into<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> brutal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> atrocities<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> often<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb760'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (13.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> video<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span> Example 3463, token 90</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>day<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> chase<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb254'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (14.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 3089, token 126</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> horrific<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> incident<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (15.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tape<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 2769, token 36</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>pers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>isted<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> until<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (15.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffedd8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> red<span class='feature_val'> (3.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>handed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span> Example 791, token 71</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> whole<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> assault<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaa43'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (16.45)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tape<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 10607, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>off<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ending<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Once<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa73b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (17.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> most<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> repeat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> offenders<span class='feature_val'> (0.00)</span></span><span> Example 9687, token 105</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>People<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa538'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (17.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> looting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> can<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> expect<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 837, token 13</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Irving<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> seemed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tad<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa335'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (17.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefbf6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> off<span class='feature_val'> (0.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> guard<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span> Example 1399, token 123</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 8.96 and 13.44: 0.0004%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ball<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> could<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc988'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (10.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> well<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> but<span class='feature_val'> (0.00)</span></span><span> Example 11706, token 8</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc885'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (10.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> North<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sea<span class='feature_val'> (0.00)</span></span><span> Example 1055, token 1</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> what<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> followed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> there<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc279'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (11.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> video<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 12150, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> percent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> black<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> students<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe6f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (12.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cell<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>phones<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span> Example 8409, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>c<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (12.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> buying<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> doping<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> products<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 12225, token 84</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> if<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> they<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbb69'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (13.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> might<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> morally<span class='feature_val'> (0.00)</span></span><span> Example 2297, token 108</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 4.48 and 8.96: 0.0013%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>le<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> studio<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (4.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fire<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> This<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wasn<span class='feature_val'> (0.00)</span></span><span> Example 6373, token 94</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aim<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Angel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>us<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> intercepted</b><span class='feature_val'> (5.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> killed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 7979, token 48</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> because<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;m<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> catching<span class='feature_val'> (1.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee3c1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> him</b><span class='feature_val'> (5.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ;)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span> Example 8370, token 9</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> said<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> when<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> finally<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ed'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> caught<span class='feature_val'> (1.56)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> him</b><span class='feature_val'> (5.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Though<span class='feature_val'> (0.00)</span></span><span> Example 9550, token 101</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>gh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>!<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> You<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> caught<span class='feature_val'> (3.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdfb9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> me</b><span class='feature_val'> (6.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>!&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> says<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 2978, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> admit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> –<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffefdd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> caught<span class='feature_val'> (2.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> me</b><span class='feature_val'> (6.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> stole<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span> Example 4388, token 110</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> individuals<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (7.35)</span></span><span> Example 6801, token 127</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> comfortable<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> waiting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> room<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (7.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> couple<span class='feature_val'> (1.69)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 11904, token 14</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> but<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> people<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (8.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Kill<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>iam<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;s<span class='feature_val'> (1.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> attention<span class='feature_val'> (0.00)</span></span><span> Example 5452, token 14</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 0.00 and 4.48: 99.9958%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>lim<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>bers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> trapped</b><span class='feature_val'> (0.45)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mount<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Everest<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span> Example 577, token 36</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> one<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> officials<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> arrested</b><span class='feature_val'> (0.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> indicted<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> week<span class='feature_val'> (0.00)</span></span><span> Example 1697, token 97</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> town<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> met</b><span class='feature_val'> (1.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> man<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span> Example 4625, token 81</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> me<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ever<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> catch<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> them</b><span class='feature_val'> (1.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> unless<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span> Example 9755, token 43</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>illo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 23<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> stopped</b><span class='feature_val'> (2.32)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agents<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plain<span class='feature_val'> (0.00)</span></span><span> Example 9843, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Marine<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Battalion<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> killed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> captured</b><span class='feature_val'> (2.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ill<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> staged<span class='feature_val'> (0.00)</span></span><span> Example 6739, token 101</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> only<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ships<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffefdc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> captured</b><span class='feature_val'> (3.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Tyr<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ant<span class='feature_val'> (0.00)</span></span><span> Example 12252, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> message<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Morris<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> caught</b><span class='feature_val'> (3.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SI<span class='feature_val'> (0.00)</span></span><span> Example 8497, token 82</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> catch</b><span class='feature_val'> (4.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 7265, token 2</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_activating_examples_dash(owt_tokens_torch[:128*100], scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a9427b00-8eb1-4eb1-84f7-ca258535a4ee\",\n   \"metadata\": {},\n   \"source\": [\n    \"**How'd we do?** We were correct about \\\"caught\\\". However, the other similar verbs (like \\\"captured\\\" and \\\"uncovered\\\") weren't present in the top-activating examples.\\n\",\n    \"\\n\",\n    \"Also, it seems that in all the top-activating examples, \\\"caught\\\" is used as a participle, rather than as the past tense of the verb \\\"catch\\\". (E.g. you don't really see any examples like \\\"I caught him!\\\". Is this an important factor for the original feature? \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"df49e0f1-e329-40a8-bf26-2a407ae11dbe\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Post-mortem: \\\"caught\\\" as participle versus finite verb\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"id\": \"8a3ee01a-d476-483d-8cfe-4990d85cff51\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 16.25it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0.  ,  0.  , 19.97]], dtype=float16)\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"He was caught\\\"\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"scores\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"id\": \"7d87da60-8a46-4588-ac10-a97283b319f8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 50.32it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.    , 0.8145, 0.    , 0.    ]], dtype=float16)\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"He caught the ball\\\"\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"scores\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"0756033b-aa90-4e88-90d4-8da988a82f3f\",\n   \"metadata\": {},\n   \"source\": [\n    \"Yep! This is in fact important!\\n\",\n    \"\\n\",\n    \"But why didn't this show up in our computational paths? Could it perhaps be that the transcoders are unable to correctly account for this?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"id\": \"5db5ecc1-b25a-4477-a3e0-c63f1d0be183\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 25.08it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.    0.   16.45]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"He was caught\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"id\": \"b71b786b-0dfd-4e65-91a0-6807413fc138\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 48.85it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0. 9. 0. 0.]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"He caught the ball\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"18066092-8dce-44a1-872e-954c313a144e\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like our transcoders don't do a great job of modeling this subtle contextual difference between \\\"caught\\\" as an active verb and \\\"caught\\\" as a past participle. But there still is a difference!\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"id\": \"4c838f5e-d4fb-4ec5-81b4-e2f6c7671ea4\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 45.34it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.    11.086]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"was caught\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"id\": \"0c1870fc-f8bd-4629-90c9-eca94dac276c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 49.39it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.   4.85]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"then caught\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"735967a7-bea7-4355-aefb-0ed2ac25f1a0\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Filtering for computational paths\\n\",\n    \"\\n\",\n    \"Let's see if our circuit analysis finds any computational paths that contribute from the ` was` token.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"id\": \"a8edaf8b-1219-481d-8225-e538444f3c3f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 24.90it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.    0.   16.45]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"He was caught\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"    _, cache = model.run_with_cache(test_prompt, stop_at_layer=9)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"id\": \"887adf1a-d8bd-47e5-a8c2-d783cef6214e\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=30, do_raw_attribution=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"id\": \"1f63650a-f38f-45f6-ae14-68426dc115c2\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[235]@-1 <- attn1[0]@2: 1.0\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# only look at paths that go to token 2\\n\",\n    \"filtered_paths = get_paths_via_filter(all_paths, suffix_path=[\\n\",\n    \"    FeatureFilter(token=2)\\n\",\n    \"])\\n\",\n    \"\\n\",\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"id\": \"13024145-e2ef-4203-9f86-1fe67352cda7\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: attn1[0]@2: 1.1 <- mlp0tc[15269]@2: 0.6\\n\",\n      \"Path [0][1]: attn1[0]@2: 1.1 <- mlp0tc[24399]@2: 0.22\\n\",\n      \"Path [0][2]: attn1[0]@2: 1.1 <- mlp0tc[6036]@2: 0.13\\n\",\n      \"Path [0][3]: attn1[0]@2: 1.1 <- mlp0tc[10177]@2: 0.1\\n\",\n      \"Path [0][4]: attn1[0]@2: 1.1 <- attn0[1]@2: 0.061\\n\",\n      \"Path [0][5]: attn1[0]@2: 1.1 <- attn0[7]@1: 0.039\\n\",\n      \"Path [0][6]: attn1[0]@2: 1.1 <- attn0[9]@1: 0.036\\n\",\n      \"Path [0][7]: attn1[0]@2: 1.1 <- attn0[9]@2: 0.028\\n\",\n      \"Path [0][8]: attn1[0]@2: 1.1 <- attn0[7]@2: 0.026\\n\",\n      \"Path [0][9]: attn1[0]@2: 1.1 <- attn0[8]@2: 0.025\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit = greedy_get_top_paths(model, transcoders, cache, filtered_paths[0][-1], num_iters=1, num_branches=10, do_raw_attribution=True)\\n\",\n    \"print_all_paths(subcircuit)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"id\": \"75072a08-c0f0-4235-bbad-721147720252\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[15269]@2: 0.6</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>onse</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.262</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.427</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa1a1'>issues</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.239</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.386</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa4a4'>ause</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.224</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&nbsp;WAS</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.356</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>analy</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.219</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8f8fff'>&nbsp;Was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.340</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>ethical</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.217</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>Was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.324</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>icial</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.214</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>&nbsp;wasn</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.300</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>&nbsp;ILCS</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.213</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9f9fff'>&nbsp;were</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.254</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[24399]@2: 0.22</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>onse</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.231</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.483</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>perty</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.224</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.402</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>analy</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.224</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>&nbsp;WAS</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.402</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>&nbsp;endif</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.223</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>&nbsp;Was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.372</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>clinical</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.218</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9797ff'>Was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.347</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>&nbsp;ILCS</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.217</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9c9cff'>&nbsp;wasn</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.320</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffafaf'>hyde</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.213</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b1b1ff'>&nbsp;were</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.202</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[6036]@2: 0.13</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa2a2'>morrow</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.202</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.358</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa2a2'>ritten</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.202</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.315</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa3a3'>economic</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.198</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&nbsp;were</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.299</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa4a4'>&nbsp;maturity</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.195</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>&nbsp;WAS</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.295</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>&nbsp;ILCS</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.191</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9797ff'>&nbsp;wasn</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.252</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>&nbsp;partnerships</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.191</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9797ff'>were</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.251</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>hyde</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.190</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9898ff'>Was</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.248</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, subcircuit[0][0][-1])\\n\",\n    \"display_deembeddings_for_feature_vector(model, subcircuit[0][1][-1])\\n\",\n    \"display_deembeddings_for_feature_vector(model, subcircuit[0][2][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"id\": \"0916e65c-2ec9-40d5-9bb7-dda498aea1b7\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: attn3[2]@2: 0.7 <- mlp0tc[15269]@2: 0.26\\n\",\n      \"Path [0][1]: attn3[2]@2: 0.7 <- mlp0tc[24399]@2: 0.12\\n\",\n      \"Path [0][2]: attn3[2]@2: 0.7 <- attn0[1]@2: 0.11\\n\",\n      \"Path [0][3]: attn3[2]@2: 0.7 <- mlp0tc[10177]@2: 0.1\\n\",\n      \"Path [0][4]: attn3[2]@2: 0.7 <- mlp1tc[1422]@2: 0.085\\n\",\n      \"Path [0][5]: attn3[2]@2: 0.7 <- attn1[10]@2: 0.063\\n\",\n      \"Path [0][6]: attn3[2]@2: 0.7 <- attn1[10]@1: 0.051\\n\",\n      \"Path [0][7]: attn3[2]@2: 0.7 <- attn2[3]@1: 0.049\\n\",\n      \"Path [0][8]: attn3[2]@2: 0.7 <- mlp0tc[6036]@2: 0.048\\n\",\n      \"Path [0][9]: attn3[2]@2: 0.7 <- mlp1tc[15836]@2: 0.045\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit = greedy_get_top_paths(model, transcoders, cache, filtered_paths[1][-1], num_iters=1, num_branches=10, do_raw_attribution=True)\\n\",\n    \"print_all_paths(subcircuit)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a60f34b1-5475-40b9-9bb3-961a9f03b879\",\n   \"metadata\": {},\n   \"source\": [\n    \"So we do see some mild attribution to transcoder features that fire on \\\"was\\\". But why are these attribution scores so low compared to the striking difference in feature activation when \\\"was\\\" is present versus when it's absent?\\n\",\n    \"\\n\",\n    \"Let's now go further and do some causal analysis -- it's patching time!\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f22c523e-8640-4fe6-aa53-861294650702\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Patching\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"id\": \"abfbf26a-d582-4433-b737-881d81e8ae9b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"['<|endoftext|>', 'was', ' caught']\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"was caught\\\"\\n\",\n    \"print(model.to_str_tokens(test_prompt))\\n\",\n    \"_, cache = model.run_with_cache(test_prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"id\": \"f2fca1bc-04fb-411d-9ffb-5c79ec4a4892\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"['<|endoftext|>', 'then', ' caught']\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"bad_test_prompt = \\\"then caught\\\"\\n\",\n    \"print(model.to_str_tokens(bad_test_prompt))\\n\",\n    \"_, bad_cache = model.run_with_cache(bad_test_prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"43cf4e71-2660-4b70-af3a-e92a52bd2fe9\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, we'll patch the output of every attention sublayer and every MLP sublayer.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"id\": \"5192dc69-1600-4ef2-a34b-8fb9b16a902f\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"patch_scores = np.zeros((8*2,2))\\n\",\n    \"\\n\",\n    \"def hook_patch(activation, hook):\\n\",\n    \"    activation[:, cur_token, :] = cache[hook.name][:, cur_token, :]\\n\",\n    \"    return activation\\n\",\n    \"\\n\",\n    \"for layer in range(8):\\n\",\n    \"    for i, token in enumerate(range(1,3)):\\n\",\n    \"        cur_token = token\\n\",\n    \"        with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"            with model.hooks(fwd_hooks=[(utils.get_act_name('attn_out', layer), hook_patch)]):\\n\",\n    \"                _, patched_cache = model.run_with_cache(bad_test_prompt)\\n\",\n    \"                #new_activation = transcoders[8](patched_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                #old_activation = transcoders[8](bad_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                new_activation = (transcoders[8].W_enc[:,feature_idx] @ patched_cache[utils.get_act_name('normalized8ln2')][0,-1]).item()\\n\",\n    \"                old_activation = (transcoders[8].W_enc[:,feature_idx] @ bad_cache[utils.get_act_name('normalized8ln2')][0,-1]).item()\\n\",\n    \"                patch_scores[2*layer, i] = new_activation-old_activation\\n\",\n    \"            with model.hooks(fwd_hooks=[(utils.get_act_name('mlp_out', layer), hook_patch)]):\\n\",\n    \"                _, patched_cache = model.run_with_cache(bad_test_prompt)\\n\",\n    \"                new_activation = (transcoders[8].W_enc[:,feature_idx] @ patched_cache[utils.get_act_name('normalized8ln2')][0,-1]).item()\\n\",\n    \"                old_activation = (transcoders[8].W_enc[:,feature_idx] @ bad_cache[utils.get_act_name('normalized8ln2')][0,-1]).item()\\n\",\n    \"                #new_activation = transcoders[8](patched_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                #old_activation = transcoders[8](bad_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                patch_scores[2*layer+1, i] = new_activation-old_activation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"id\": \"6d500552-e891-4c8b-a3e8-0daff5394d9e\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"mat = ax.matshow(patch_scores.T, cmap='coolwarm', vmin=-(lim := np.max([np.abs(patch_scores.min()), np.abs(patch_scores.max())])), vmax=lim)\\n\",\n    \"for i in range(patch_scores.T.shape[0]):\\n\",\n    \"    for j in range(patch_scores.T.shape[1]):\\n\",\n    \"        c = patch_scores.T[i,j]\\n\",\n    \"        ax.text(j, i, f'{c:.2f}', va='center', ha='center', fontsize='x-small')\\n\",\n    \"plt.xticks(np.arange(16), np.arange(16)/2)\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b6e86ecd-b552-4edd-99c7-4e625aea69e0\",\n   \"metadata\": {},\n   \"source\": [\n    \"Alright -- it looks like the `was` token was indeed important (MLP0), with attn2 and attn3 being important for bringing over this information from token 1 to token 2.\\n\",\n    \"\\n\",\n    \"Which attention heads are most important?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"id\": \"e1d2fdbb-04cb-491d-88ed-cffbba0af914\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"patch_scores = np.zeros((12,2))\\n\",\n    \"\\n\",\n    \"def hook_patch_value(activation, hook):\\n\",\n    \"    activation[:, cur_token, cur_head, :] = cache[hook.name][:, cur_token, cur_head, :]\\n\",\n    \"    return activation\\n\",\n    \"\\n\",\n    \"for head in range(12):\\n\",\n    \"    cur_head = head\\n\",\n    \"    for i, token in enumerate(range(1,3)):\\n\",\n    \"        cur_token = token\\n\",\n    \"        with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"            with model.hooks(fwd_hooks=[('blocks.2.attn.hook_k', hook_patch_value), ('blocks.2.attn.hook_v', hook_patch_value)]):\\n\",\n    \"                _, patched_cache = model.run_with_cache(bad_test_prompt)\\n\",\n    \"                new_activation = transcoders[8](patched_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                old_activation = transcoders[8](bad_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                patch_scores[head, i] = new_activation-old_activation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"id\": \"d57d5148-3d28-469f-86d7-511f7d58c59d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"mat = ax.matshow(patch_scores.T, cmap='coolwarm', vmin=-(lim := np.max([np.abs(patch_scores.min()), np.abs(patch_scores.max())])), vmax=lim)\\n\",\n    \"for i in range(patch_scores.T.shape[0]):\\n\",\n    \"    for j in range(patch_scores.T.shape[1]):\\n\",\n    \"        c = patch_scores.T[i,j]\\n\",\n    \"        ax.text(j, i, f'{c:.2f}', va='center', ha='center', fontsize='x-small')\\n\",\n    \"#plt.xticks(np.arange(16), np.arange(16)/2)\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a4947caf-3b6b-4db9-bfb1-4b1beec617a0\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like attn2 head 8 in particular was pretty important. How important is this head if we only patch the OV circuit?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"id\": \"8f0ce139-bf6b-4984-b4a1-f9952dd7e6d6\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"patch_scores = np.zeros((12,2))\\n\",\n    \"\\n\",\n    \"def hook_patch_value(activation, hook):\\n\",\n    \"    activation[:, cur_token, cur_head, :] = cache[hook.name][:, cur_token, cur_head, :]\\n\",\n    \"    return activation\\n\",\n    \"\\n\",\n    \"for head in range(12):\\n\",\n    \"    cur_head = head\\n\",\n    \"    for i, token in enumerate(range(1,3)):\\n\",\n    \"        cur_token = token\\n\",\n    \"        with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"            with model.hooks(fwd_hooks=[(f'blocks.2.attn.hook_v', hook_patch_value)]):\\n\",\n    \"                _, patched_cache = model.run_with_cache(bad_test_prompt)\\n\",\n    \"                new_activation = transcoders[8](patched_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                old_activation = transcoders[8](bad_cache[utils.get_act_name('normalized8ln2')])[1][0,-1,feature_idx].item()\\n\",\n    \"                patch_scores[head, i] = new_activation-old_activation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"id\": \"9f6b1f01-89f1-4855-a107-3b731964eaaa\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"mat = ax.matshow(patch_scores.T, cmap='coolwarm', vmin=-(lim := np.max([np.abs(patch_scores.min()), np.abs(patch_scores.max())])), vmax=lim)\\n\",\n    \"for i in range(patch_scores.T.shape[0]):\\n\",\n    \"    for j in range(patch_scores.T.shape[1]):\\n\",\n    \"        c = patch_scores.T[i,j]\\n\",\n    \"        ax.text(j, i, f'{c:.2f}', va='center', ha='center', fontsize='x-small')\\n\",\n    \"#plt.xticks(np.arange(16), np.arange(16)/2)\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f8fea61f-f69b-459b-ae64-81a9c5999e57\",\n   \"metadata\": {},\n   \"source\": [\n    \"Still important, but not quite as much. Note that it's currently a limitation of our circuit analysis tool that it isn't able to fully take into account the QK circuit simultaneously with the OV circuit.\\n\",\n    \"\\n\",\n    \"Now that we see that attn2 is important, does it directly contribute to the layer 8 transcoder feature? \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"id\": \"fb58b702-4b0c-4c00-8b1a-fab5e94855ba\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"tensor(0.3081, device='cuda:0', grad_fn=<DotBackward0>)\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"transcoders[8].W_enc[:,feature_idx] @ bad_cache[utils.get_act_name('attn_out', 2)][0, 1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6d2d2a88-8317-42f1-ba5a-bf00d4aaefe7\",\n   \"metadata\": {},\n   \"source\": [\n    \"Barely any direct contribution! This suggests a possible reason why the contribution of attn2head8 doesn't show up in the list of computational paths is because its contribution is *diffuse*: it might be the case that attn2head8 contributes via a large number of computational paths that are individually rather unimportant. If this is the case, then the individual computational paths will get pruned by the greedy search algorithm, thus obscuring attn2head8's contribution.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e9adc3c7-c975-4413-a399-e772a5bf18f3\",\n   \"metadata\": {},\n   \"source\": [\n    \"To address this, we'll work backwards: which features does the post-attn2 residual stream of the prompt containing the token \\\"was\\\" activate more than the prompt without \\\"was\\\"?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"id\": \"a4fcf270-cae7-4eab-b25c-a09f110e5e7b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Layer 2:\\n\",\n      \"\\ttensor([0.5727, 0.5548, 0.5458, 0.4265, 0.1927], device='cuda:0')\\n\",\n      \"\\ttensor([ 6202, 17511, 17771, 16079,  9225], device='cuda:0')\\n\",\n      \"Layer 3:\\n\",\n      \"\\ttensor([1.4671, 0.4383, 0.1087, 0.0423, 0.0325], device='cuda:0')\\n\",\n      \"\\ttensor([ 7628, 14572, 15799, 24460, 15199], device='cuda:0')\\n\",\n      \"Layer 4:\\n\",\n      \"\\ttensor([1.1604, 0.5468, 0.3648, 0.1943, 0.1893], device='cuda:0')\\n\",\n      \"\\ttensor([21770, 11288,  1746, 17103, 12869], device='cuda:0')\\n\",\n      \"Layer 5:\\n\",\n      \"\\ttensor([0.7566, 0.2285, 0.0978, 0.0899, 0.0598], device='cuda:0')\\n\",\n      \"\\ttensor([11575,  9807,  9375,  1493,  9050], device='cuda:0')\\n\",\n      \"Layer 6:\\n\",\n      \"\\ttensor([0.8048, 0.7340, 0.1324, 0.0579, 0.0517], device='cuda:0')\\n\",\n      \"\\ttensor([ 3358, 22733, 11280,  7212,  8247], device='cuda:0')\\n\",\n      \"Layer 7:\\n\",\n      \"\\ttensor([1.2310, 0.3090, 0.2683, 0.0531, 0.0441], device='cuda:0')\\n\",\n      \"\\ttensor([14382,  5675,  4614,  7291,  9533], device='cuda:0')\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for l in range(2,8):\\n\",\n    \"    print(f\\\"Layer {l}:\\\")\\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        v, i = torch.topk(    (transcoders[l](cache[utils.get_act_name('normalized', 2, 'ln2')])[1][0,-1]\\\\\\n\",\n    \"            - transcoders[l](bad_cache[utils.get_act_name('normalized', 2, 'ln2')])[1][0,-1]) * (transcoders[l].W_dec @ transcoders[8].W_enc[:, feature_idx]),\\n\",\n    \"            k = 5\\n\",\n    \"        )\\n\",\n    \"    print(f\\\"\\\\t{v}\\\\n\\\\t{i}\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1ef5438a-091a-41b2-886b-c53d9f0d032b\",\n   \"metadata\": {},\n   \"source\": [\n    \"The next question: do any of these features show up in the top computational paths?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"id\": \"2039fe50-2dad-49a3-ae5c-dc3dc0f2a5a8\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature,\\n\",\n    \"                                 num_iters=1, num_branches=30, do_raw_attribution=True, filter=FeatureFilter(feature_type=FeatureType.TRANSCODER))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"id\": \"ee9bd3b7-0718-4095-9987-c9ec58a5d180\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[14382]@2: 4.3\\n\",\n      \"Path [0][1]: mlp8tc[235]@-1: 1.9e+01 <- mlp0tc[1636]@2: 3.9\\n\",\n      \"Path [0][2]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[7628]@2: 1.6\\n\",\n      \"Path [0][3]: mlp8tc[235]@-1: 1.9e+01 <- mlp6tc[22733]@2: 1.6\\n\",\n      \"Path [0][4]: mlp8tc[235]@-1: 1.9e+01 <- mlp4tc[21770]@2: 1.3\\n\",\n      \"Path [0][5]: mlp8tc[235]@-1: 1.9e+01 <- mlp5tc[11575]@2: 1.2\\n\",\n      \"Path [0][6]: mlp8tc[235]@-1: 1.9e+01 <- mlp2tc[17511]@2: 1.1\\n\",\n      \"Path [0][7]: mlp8tc[235]@-1: 1.9e+01 <- mlp1tc[4598]@2: 0.99\\n\",\n      \"Path [0][8]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[18519]@2: 0.4\\n\",\n      \"Path [0][9]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[760]@2: 0.23\\n\",\n      \"Path [0][10]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[14572]@2: 0.21\\n\",\n      \"Path [0][11]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[11008]@2: 0.19\\n\",\n      \"Path [0][12]: mlp8tc[235]@-1: 1.9e+01 <- mlp4tc[6945]@2: 0.16\\n\",\n      \"Path [0][13]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[6318]@2: 0.15\\n\",\n      \"Path [0][14]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[5675]@2: 0.15\\n\",\n      \"Path [0][15]: mlp8tc[235]@-1: 1.9e+01 <- mlp0tc[7058]@2: 0.14\\n\",\n      \"Path [0][16]: mlp8tc[235]@-1: 1.9e+01 <- mlp5tc[9807]@2: 0.14\\n\",\n      \"Path [0][17]: mlp8tc[235]@-1: 1.9e+01 <- mlp6tc[16406]@2: 0.14\\n\",\n      \"Path [0][18]: mlp8tc[235]@-1: 1.9e+01 <- mlp2tc[6202]@2: 0.13\\n\",\n      \"Path [0][19]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[11745]@2: 0.13\\n\",\n      \"Path [0][20]: mlp8tc[235]@-1: 1.9e+01 <- mlp2tc[17771]@2: 0.13\\n\",\n      \"Path [0][21]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[22056]@2: 0.13\\n\",\n      \"Path [0][22]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[520]@2: 0.12\\n\",\n      \"Path [0][23]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[3832]@2: 0.11\\n\",\n      \"Path [0][24]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[1967]@2: 0.1\\n\",\n      \"Path [0][25]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[15799]@2: 0.097\\n\",\n      \"Path [0][26]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[5404]@2: 0.096\\n\",\n      \"Path [0][27]: mlp8tc[235]@-1: 1.9e+01 <- mlp0tc[3981]@2: 0.092\\n\",\n      \"Path [0][28]: mlp8tc[235]@-1: 1.9e+01 <- mlp6tc[6742]@2: 0.09\\n\",\n      \"Path [0][29]: mlp8tc[235]@-1: 1.9e+01 <- mlp7tc[7291]@2: 0.088\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"cd2ba5b1-3471-45c6-8393-383439f038a0\",\n   \"metadata\": {},\n   \"source\": [\n    \"They do! Many of the top transcoder features for causing this feature to activate are the ones that the post-attn2 residual stream in the \\\"was\\\" prompt causes to activate the most when compared with the non-\\\"was\\\" prompt. But what happens when we try to reverse-engineer some of these features?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"id\": \"2df9bf1c-c7f6-407b-a860-c3ba74d7120c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp4tc[21770]@2: 1e+01 <- mlp0tc[1636]@2: 0.25\\n\",\n      \"Path [0][1]: mlp4tc[21770]@2: 1e+01 <- mlp3tc[7628]@2: 0.1\\n\",\n      \"Path [0][2]: mlp4tc[21770]@2: 1e+01 <- mlp1tc[4598]@2: 0.081\\n\",\n      \"Path [0][3]: mlp4tc[21770]@2: 1e+01 <- mlp2tc[17511]@2: 0.069\\n\",\n      \"Path [0][4]: mlp4tc[21770]@2: 1e+01 <- attn3[2]@1: 0.03\\n\",\n      \"Path [0][5]: mlp4tc[21770]@2: 1e+01 <- attn0[4]@2: 0.026\\n\",\n      \"Path [0][6]: mlp4tc[21770]@2: 1e+01 <- attn2[2]@1: 0.023\\n\",\n      \"Path [0][7]: mlp4tc[21770]@2: 1e+01 <- mlp3tc[14572]@2: 0.021\\n\",\n      \"Path [0][8]: mlp4tc[21770]@2: 1e+01 <- attn0[5]@2: 0.017\\n\",\n      \"Path [0][9]: mlp4tc[21770]@2: 1e+01 <- attn0[1]@2: 0.017\\n\",\n      \"Path [0][10]: mlp4tc[21770]@2: 1e+01 <- attn1[0]@1: 0.015\\n\",\n      \"Path [0][11]: mlp4tc[21770]@2: 1e+01 <- attn2[8]@1: 0.015\\n\",\n      \"Path [0][12]: mlp4tc[21770]@2: 1e+01 <- mlp3tc[15799]@2: 0.012\\n\",\n      \"Path [0][13]: mlp4tc[21770]@2: 1e+01 <- attn3[11]@2: 0.011\\n\",\n      \"Path [0][14]: mlp4tc[21770]@2: 1e+01 <- embed0@2: 0.011\\n\",\n      \"Path [0][15]: mlp4tc[21770]@2: 1e+01 <- attn3[9]@1: 0.0087\\n\",\n      \"Path [0][16]: mlp4tc[21770]@2: 1e+01 <- mlp2tc[17771]@2: 0.0085\\n\",\n      \"Path [0][17]: mlp4tc[21770]@2: 1e+01 <- attn2[1]@2: 0.0081\\n\",\n      \"Path [0][18]: mlp4tc[21770]@2: 1e+01 <- attn4[11]@1: 0.0078\\n\",\n      \"Path [0][19]: mlp4tc[21770]@2: 1e+01 <- mlp3tc[3832]@2: 0.0073\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit = greedy_get_top_paths(model, transcoders, cache, all_paths[0][4][-1], num_iters=1, num_branches=20, do_raw_attribution=True)\\n\",\n    \"print_all_paths(subcircuit)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"94cdebd3-a935-4ce3-a7a6-9b0919f2e25b\",\n   \"metadata\": {},\n   \"source\": [\n    \"Although we do see contributions from the \\\"was\\\" token (e.g. `attn2[2]@1: 0.023`, `attn2[8]@1: 0.015`), they're very small. This provides further support for the previous hypothesis regarding why attn2 isn't found to be important by the greedy algorithm: it seems to make a lot of slight individual contributions via a large number of computational paths.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3465bd3a-3bd8-421f-8b7d-882f8e045642\",\n   \"metadata\": {},\n   \"source\": [\n    \"What if we try to combine all these computational paths into a graph?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"id\": \"4907ea49-8878-4338-940d-dcd4be8e9801\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature,\\n\",\n    \"                                 num_iters=3, num_branches=60, do_raw_attribution=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"id\": \"60517305-a705-4a27-8773-53a40f72857d\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"filtered_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(token=1, )])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"id\": \"a8ee70ab-7352-4d6a-9ed0-07fa630eb863\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[235]@-1: 1.9e+01 <- attn3[2]@1: 0.21\\n\",\n      \"Path [1]: mlp8tc[235]@-1: 1.9e+01 <- attn2[0]@1: 0.16\\n\",\n      \"Path [2]: mlp8tc[235]@-1: 1.9e+01 <- attn2[8]@1: 0.15\\n\",\n      \"Path [3]: mlp8tc[235]@-1: 1.9e+01 <- attn3[8]@1: 0.13\\n\",\n      \"Path [4]: mlp8tc[235]@-1: 1.9e+01 <- attn1[1]@1: 0.099\\n\",\n      \"Path [5]: mlp8tc[235]@-1: 1.9e+01 <- attn1[0]@1: 0.094\\n\",\n      \"Path [6]: mlp8tc[235]@-1: 1.9e+01 <- attn1[10]@1: 0.093\\n\",\n      \"Path [7]: mlp8tc[235]@-1: 1.9e+01 <- attn2[8]@1: 0.15 <- mlp0tc[17133]@1: 0.19\\n\",\n      \"Path [8]: mlp8tc[235]@-1: 1.9e+01 <- mlp2tc[6202]@2: 0.13 <- attn2[5]@1: 0.18\\n\",\n      \"Path [9]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[14572]@2: 0.21 <- attn3[2]@1: 0.17\\n\",\n      \"Path [10]: mlp8tc[235]@-1: 1.9e+01 <- attn3[2]@1: 0.21 <- mlp0tc[17133]@1: 0.12\\n\",\n      \"Path [11]: mlp8tc[235]@-1: 1.9e+01 <- mlp3tc[7628]@2: 1.6 <- attn3[2]@1: 0.12\\n\",\n      \"Path [12]: mlp8tc[235]@-1: 1.9e+01 <- attn2[8]@1: 0.15 <- mlp0tc[17133]@1: 0.19 <- embed0@1: 0.11\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"id\": \"f2cbcc3d-559a-4589-b7f0-9fd6bc5b8abf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'mlp8tc[235]@-1': <FeatureVector object mlp8tc[235]@-1: 1.9e+01, sublayer=resid_mid>,\\n\",\n       \" 'mlp0tc[17133]@1': <FeatureVector object mlp0tc[17133]@1: 0.31, sublayer=resid_mid contrib_type=raw>,\\n\",\n       \" 'mlp2tc[6202]@2': <FeatureVector object mlp2tc[6202]@2: 0.13, sublayer=resid_mid contrib_type=raw>,\\n\",\n       \" 'mlp3tc[14572]@2': <FeatureVector object mlp3tc[14572]@2: 0.21, sublayer=resid_mid contrib_type=raw>,\\n\",\n       \" 'mlp3tc[7628]@2': <FeatureVector object mlp3tc[7628]@2: 1.6, sublayer=resid_mid contrib_type=raw>,\\n\",\n       \" 'embed0@1': <FeatureVector object mlp0tc[17133]embed0@1: 0.11, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn3[2]@1': <FeatureVector object attn3[2]@1: 0.5, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn2[0]@1': <FeatureVector object attn2[0]@1: 0.16, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn2[8]@1': <FeatureVector object attn2[8]@1: 0.15, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn3[8]@1': <FeatureVector object attn3[8]@1: 0.13, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn1[1]@1': <FeatureVector object attn1[1]@1: 0.099, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn1[0]@1': <FeatureVector object attn1[0]@1: 0.094, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn1[10]@1': <FeatureVector object attn1[10]@1: 0.093, sublayer=resid_pre contrib_type=raw>,\\n\",\n       \" 'attn2[5]@1': <FeatureVector object attn2[5]@1: 0.18, sublayer=resid_pre contrib_type=raw>}\"\n      ]\n     },\n     \"execution_count\": 124,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"_, filtered_nodes = paths_to_graph(filtered_paths)\\n\",\n    \"filtered_nodes\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"c3ce76bf-a79b-4dfb-92ac-f8b21d9429a5\",\n   \"metadata\": {},\n   \"source\": [\n    \"Nope: still very little attribution coming from token 1. When you look at the computational paths that end on token 1 (the \\\"was\\\" token), there are very few in the first place. This suggests that the greedy approach isn't the best for addressing this problem.\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "case_study_citations.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"85b8a651-baa3-4772-85ec-a3bb10d1851a\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Blind case study: academic citation feature\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9b0845aa-18c6-4bb5-88be-6d8181fdac8d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"fe44ab3a-14ff-4ec5-b3f8-070a7ad3d21a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b112aadf-0e92-440e-80a0-a3217751a81d\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load model\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"1845441e-479b-43f9-9bfa-b03636741045\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"e9996a62-57c5-48a4-a980-b378a00d39fd\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"model = HookedTransformer.from_pretrained('gpt2')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bd405cee-8f23-4a85-bf74-b3dd547fb6d1\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"## Loading data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"529c4b1b-d53e-4101-bed1-f5dc474d09cc\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ceaa36a0-7f48-4578-8096-2a7d1b0a52cf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Token indices sequence length is longer than the specified maximum sequence length for this model (73252 > 1024). Running this sequence through the model will result in indexing errors\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"e0f0c9b6-b9c4-49a6-9010-1da084394d4b\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"80d2b740-685d-48ce-9447-82fd95eaef9d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Load transcoders\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"c41039eb-f23a-4f50-9fa4-8c8d2acb7da0\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"transcoders = []\\n\",\n    \"sparsities = []\\n\",\n    \"for i in range(12):\\n\",\n    \"    transcoders.append(SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(i)}.pt\\\").eval())\\n\",\n    \"    sparsities.append(torch.load(f\\\"{transcoder_template.format(i)}_log_feature_sparsity.pt\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"e132f002-2a79-43c1-be56-9d99bd6306f3\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1e994b6a-441d-415f-9f22-0304d77c65c2\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load transcoder 8 feature frequency info\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"184024c2-34c4-4665-8682-143504a0083a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"live_features = np.arange(len(sparsities[8]))[utils.to_numpy(sparsities[8] > -4)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ee6834f0-8c92-4541-8829-df4455dc4c3d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Blind case study: `live_features[300]`\\n\",\n    \"\\n\",\n    \"In a blind feature case study, we try to begin by reverse-engineering a transcoder feature *without looking at the top-activating examples*. We then form a hypothesis about what the transcoder feature is computing, and only after having done so do we look at the top-activating examples to see if our hypothesis is supported.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"id\": \"b73ce747-063c-45d9-97bb-4a5492c715a4\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[355]@-1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[300]\\n\",\n    \"my_feature = make_sae_feature_vector(transcoders[8], feature_idx, use_encoder=True, token=-1)\\n\",\n    \"print(my_feature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"id\": \"5dd23f59-9a3d-426c-a39a-eed062c585c3\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"dae5982c8e7242c898cafff350208504\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/100 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch[:128*100], feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"uniform_samples = sample_uniform(scores, num_samples=50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f0663492-d0a3-4131-9273-ee38aeca7ff4\",\n   \"metadata\": {},\n   \"source\": [\n    \"Let's get the indices of sufficiently-highly activating examples.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"id\": \"b88c77d3-1e93-4e24-b0f3-d91ba807b3c4\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[ 0.      0.2988  0.5957  0.895   1.192   1.491   1.79    2.088   2.383\\n\",\n      \"  2.69    2.986   3.242   3.58    3.877   4.18    4.47    4.754   5.055\\n\",\n      \"  5.35    5.66    6.06    6.28    6.41    6.848   7.16    7.477   7.59\\n\",\n      \"  8.04    8.266   8.914   9.305   9.586   9.97   10.055  10.5    10.81\\n\",\n      \" 11.19   11.35   11.72   11.91   12.12   12.51   12.79   13.12   13.41\\n\",\n      \" 13.6    14.61  ]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"uniform_scores, uniform_idxs = uniform_samples[0], uniform_samples[1]\\n\",\n    \"print(uniform_scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"id\": \"bed544a0-f0cc-44de-98cf-1e2841f66906\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"5688, 114\\n\",\n      \"10828, 72\\n\",\n      \"6123, 65\\n\",\n      \"5701, 37\\n\",\n      \"5701, 121\\n\",\n      \"2676, 31\\n\",\n      \"2555, 108\\n\",\n      \"6063, 47\\n\",\n      \"6189, 79\\n\",\n      \"6516, 37\\n\",\n      \"3062, 90\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"threshold = 11\\n\",\n    \"uniform_idxs = uniform_idxs[uniform_scores>threshold]\\n\",\n    \"uniform_scores = uniform_scores[uniform_scores>threshold]\\n\",\n    \"for x in uniform_idxs: print(f'{x[0]}, {x[1]}')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"becda840-6eae-495c-b111-b3a7c1633b69\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 5701, 37\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"id\": \"b3b4bbde-905b-4f08-9eed-d9df35529536\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[5701, :37+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"id\": \"274f3b45-dd3f-434f-8cea-b900dfd2f63c\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[355]@-1 <- mlp6tc[11831]@37: 4.8\\n\",\n      \"Path [0][1]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6\\n\",\n      \"Path [0][2]: mlp8tc[355]@-1 <- mlp5tc[12450]@37: 2.9\\n\",\n      \"Path [0][3]: mlp8tc[355]@-1 <- mlp0tc[16632]@37: 2.9\\n\",\n      \"Path [0][4]: mlp8tc[355]@-1 <- mlp0tc[9188]@37: 2.5\\n\",\n      \"Path [0][5]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4\\n\",\n      \"Path [0][6]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3\\n\",\n      \"Path [0][7]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1\\n\",\n      \"Path [0][8]: mlp8tc[355]@-1 <- mlp7tc[10909]@37: 2.1\\n\",\n      \"Path [0][9]: mlp8tc[355]@-1 <- mlp7tc[3100]@37: 1.5\\n\",\n      \"Path [0][10]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2\\n\",\n      \"Path [0][11]: mlp8tc[355]@-1 <- mlp5tc[24026]@37: 1.2\\n\",\n      \"Path [0][12]: mlp8tc[355]@-1 <- mlp0tc[9853]@37: 1.2\\n\",\n      \"Path [0][13]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2\\n\",\n      \"Path [0][14]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[355]@-1 <- mlp0tc[9188]@37: 2.5 <- embed0@37: 2.5\\n\",\n      \"Path [1][1]: mlp8tc[355]@-1 <- mlp0tc[16632]@37: 2.9 <- embed0@37: 2.3\\n\",\n      \"Path [1][2]: mlp8tc[355]@-1 <- mlp0tc[16632]@37: 2.9 <- attn0[1]@37: 1.5\\n\",\n      \"Path [1][3]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[16632]@37: 1.4\\n\",\n      \"Path [1][4]: mlp8tc[355]@-1 <- mlp0tc[9188]@37: 2.5 <- attn0[1]@37: 1.4\\n\",\n      \"Path [1][5]: mlp8tc[355]@-1 <- mlp0tc[9853]@37: 1.2 <- attn0[1]@37: 1.2\\n\",\n      \"Path [1][6]: mlp8tc[355]@-1 <- mlp0tc[9853]@37: 1.2 <- embed0@37: 1.2\\n\",\n      \"Path [1][7]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[9188]@37: 1.1\\n\",\n      \"Path [1][8]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[16632]@37: 0.95\\n\",\n      \"Path [1][9]: mlp8tc[355]@-1 <- mlp0tc[16632]@37: 2.9 <- attn0[3]@37: 0.86\\n\",\n      \"Path [1][10]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[9188]@37: 0.83\\n\",\n      \"Path [1][11]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp0tc[16632]@37: 0.76\\n\",\n      \"Path [1][12]: mlp8tc[355]@-1 <- mlp0tc[9188]@37: 2.5 <- attn0[5]@37: 0.74\\n\",\n      \"Path [1][13]: mlp8tc[355]@-1 <- mlp0tc[9188]@37: 2.5 <- attn0[3]@37: 0.7\\n\",\n      \"Path [1][14]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[9188]@37: 1.1 <- embed0@37: 1.1\\n\",\n      \"Path [2][1]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[16632]@37: 1.4 <- embed0@37: 1.1\\n\",\n      \"Path [2][2]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[9188]@37: 0.83 <- embed0@37: 0.83\\n\",\n      \"Path [2][3]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[16632]@37: 0.95 <- embed0@37: 0.76\\n\",\n      \"Path [2][4]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[16632]@37: 1.4 <- attn0[1]@37: 0.74\\n\",\n      \"Path [2][5]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[9188]@37: 1.1 <- attn0[1]@37: 0.63\\n\",\n      \"Path [2][6]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp0tc[16632]@37: 0.76 <- embed0@37: 0.6\\n\",\n      \"Path [2][7]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[16632]@37: 0.95 <- attn0[1]@37: 0.5\\n\",\n      \"Path [2][8]: mlp8tc[355]@-1 <- mlp2tc[3900]@37: 2.3 <- mlp0tc[9188]@37: 0.83 <- attn0[1]@37: 0.47\\n\",\n      \"Path [2][9]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[16632]@37: 1.4 <- attn0[3]@37: 0.42\\n\",\n      \"Path [2][10]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp0tc[16632]@37: 0.76 <- attn0[1]@37: 0.4\\n\",\n      \"Path [2][11]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4\\n\",\n      \"Path [2][12]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[9188]@37: 1.1 <- attn0[5]@37: 0.33\\n\",\n      \"Path [2][13]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32\\n\",\n      \"Path [2][14]: mlp8tc[355]@-1 <- mlp1tc[22184]@37: 2.4 <- mlp0tc[9188]@37: 1.1 <- attn0[3]@37: 0.32\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- embed0@37: 0.32\\n\",\n      \"Path [3][1]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- embed0@37: 0.31\\n\",\n      \"Path [3][2]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[1]@37: 0.21\\n\",\n      \"Path [3][3]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[1]@37: 0.18\\n\",\n      \"Path [3][4]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[3]@37: 0.12\\n\",\n      \"Path [3][5]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[5]@37: 0.094\\n\",\n      \"Path [3][6]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[3]@37: 0.089\\n\",\n      \"Path [3][7]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[5]@37: 0.081\\n\",\n      \"Path [3][8]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[6]@36: 0.048\\n\",\n      \"Path [3][9]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[8]@31: 0.047\\n\",\n      \"Path [3][10]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[8]@31: 0.038\\n\",\n      \"Path [3][11]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[8]@35: 0.028\\n\",\n      \"Path [3][12]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[8]@35: 0.028\\n\",\n      \"Path [3][13]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[9188]@37: 0.32 <- attn0[9]@31: 0.024\\n\",\n      \"Path [3][14]: mlp8tc[355]@-1 <- mlp3tc[6238]@37: 1.1 <- mlp1tc[22184]@37: 0.69 <- mlp0tc[16632]@37: 0.4 <- attn0[7]@36: 0.021\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a8bed0a0-00c1-4eca-b08f-c5eeb97aacc7\",\n   \"metadata\": {},\n   \"source\": [\n    \"We see contributions from various tokens: not only the final one, but also `attn7[7]@35`, `attn5[6]@36`, and others.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bc20cf86-3c40-4dde-9478-6c81e35e3a75\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, though, let's focus on the final token.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"501b4408-86ff-428d-989a-823abff171f5\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Final token\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"id\": \"7a303371-2af9-4d7d-8f7e-84d503f2bb06\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>NOR</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.406</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>;</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.559</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>Balt</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.383</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&#x27;;</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.034</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>ommel</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.332</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>%;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.850</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>itri</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.285</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>.;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.681</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>ardless</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.276</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&nbsp;[];</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.590</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 9188, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"id\": \"79edf87f-7896-4734-8d66-3585072e965b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>&nbsp;Lans</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.335</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.975</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>Balt</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.062</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>&#x27;;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.663</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>itri</span></td>\\n\",\n       \"    <td style='text-align:right'>-1.971</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>%;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.274</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>dated</span></td>\\n\",\n       \"    <td style='text-align:right'>-1.934</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>.;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.138</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>&nbsp;row</span></td>\\n\",\n       \"    <td style='text-align:right'>-1.924</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&quot;;</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.126</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 16632, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1e969f6e-4f9e-43f6-b238-ad2fb4b6c7ea\",\n   \"metadata\": {},\n   \"source\": [\n    \"Okay, final token is a semicolon.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6dfedeeb-5812-4625-bbbc-532d574fcf66\",\n   \"metadata\": {},\n   \"source\": [\n    \"What's going on with `mlp6tc[11831]@-1`?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"id\": \"a79475f5-7255-4f46-93f8-ad48a0e2ca2f\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp6tc[11831]@-1: 4.8 <- mlp5tc[12450]@-1: 0.46\\n\",\n      \"Path [0][1]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[16632]@-1: 0.45\\n\",\n      \"Path [0][2]: mlp6tc[11831]@-1: 4.8 <- attn4[4]@36: 0.39\\n\",\n      \"Path [0][3]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9188]@-1: 0.34\\n\",\n      \"Path [0][4]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31\\n\",\n      \"Path [0][5]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28\\n\",\n      \"Path [0][6]: mlp6tc[11831]@-1: 4.8 <- mlp5tc[24026]@-1: 0.21\\n\",\n      \"Path [0][7]: mlp6tc[11831]@-1: 4.8 <- attn3[1]@31: 0.21\\n\",\n      \"Path [0][8]: mlp6tc[11831]@-1: 4.8 <- attn5[6]@36: 0.18\\n\",\n      \"Path [0][9]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9853]@-1: 0.16\\n\",\n      \"Path [0][10]: mlp6tc[11831]@-1: 4.8 <- mlp3tc[18385]@-1: 0.14\\n\",\n      \"Path [0][11]: mlp6tc[11831]@-1: 4.8 <- attn0[1]@37: 0.13\\n\",\n      \"Path [0][12]: mlp6tc[11831]@-1: 4.8 <- attn2[9]@36: 0.12\\n\",\n      \"Path [0][13]: mlp6tc[11831]@-1: 4.8 <- mlp5tc[10550]@-1: 0.12\\n\",\n      \"Path [0][14]: mlp6tc[11831]@-1: 4.8 <- attn4[8]@37: 0.11\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[16632]@-1: 0.45 <- embed0@-1: 0.36\\n\",\n      \"Path [1][1]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9188]@-1: 0.34 <- embed0@-1: 0.34\\n\",\n      \"Path [1][2]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[16632]@-1: 0.45 <- attn0[1]@37: 0.23\\n\",\n      \"Path [1][3]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9188]@-1: 0.34 <- attn0[1]@37: 0.19\\n\",\n      \"Path [1][4]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[16632]@-1: 0.18\\n\",\n      \"Path [1][5]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9853]@-1: 0.16 <- attn0[1]@37: 0.16\\n\",\n      \"Path [1][6]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9853]@-1: 0.16 <- embed0@-1: 0.16\\n\",\n      \"Path [1][7]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[9188]@-1: 0.14\\n\",\n      \"Path [1][8]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[16632]@-1: 0.45 <- attn0[3]@37: 0.13\\n\",\n      \"Path [1][9]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[16632]@-1: 0.12\\n\",\n      \"Path [1][10]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9188]@-1: 0.34 <- attn0[5]@37: 0.1\\n\",\n      \"Path [1][11]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[9188]@-1: 0.1\\n\",\n      \"Path [1][12]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[9188]@-1: 0.34 <- attn0[3]@37: 0.096\\n\",\n      \"Path [1][13]: mlp6tc[11831]@-1: 4.8 <- mlp0tc[16632]@-1: 0.45 <- attn0[5]@37: 0.092\\n\",\n      \"Path [1][14]: mlp6tc[11831]@-1: 4.8 <- attn4[4]@36: 0.39 <- mlp0tc[13196]@36: 0.08\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[9188]@-1: 0.14 <- embed0@-1: 0.14\\n\",\n      \"Path [2][1]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[16632]@-1: 0.18 <- embed0@-1: 0.14\\n\",\n      \"Path [2][2]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[9188]@-1: 0.1 <- embed0@-1: 0.1\\n\",\n      \"Path [2][3]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[16632]@-1: 0.18 <- attn0[1]@37: 0.094\\n\",\n      \"Path [2][4]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[16632]@-1: 0.12 <- embed0@-1: 0.092\\n\",\n      \"Path [2][5]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[9188]@-1: 0.14 <- attn0[1]@37: 0.081\\n\",\n      \"Path [2][6]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[16632]@-1: 0.12 <- attn0[1]@37: 0.061\\n\",\n      \"Path [2][7]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[9188]@-1: 0.1 <- attn0[1]@37: 0.056\\n\",\n      \"Path [2][8]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[16632]@-1: 0.18 <- attn0[3]@37: 0.053\\n\",\n      \"Path [2][9]: mlp6tc[11831]@-1: 4.8 <- attn4[4]@36: 0.39 <- mlp0tc[13196]@36: 0.08 <- attn0[5]@36: 0.051\\n\",\n      \"Path [2][10]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[9188]@-1: 0.14 <- attn0[5]@37: 0.043\\n\",\n      \"Path [2][11]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[9188]@-1: 0.14 <- attn0[3]@37: 0.04\\n\",\n      \"Path [2][12]: mlp6tc[11831]@-1: 4.8 <- attn4[4]@36: 0.39 <- mlp0tc[13196]@36: 0.08 <- attn0[1]@36: 0.037\\n\",\n      \"Path [2][13]: mlp6tc[11831]@-1: 4.8 <- mlp1tc[22184]@-1: 0.31 <- mlp0tc[16632]@-1: 0.18 <- attn0[5]@37: 0.037\\n\",\n      \"Path [2][14]: mlp6tc[11831]@-1: 4.8 <- mlp2tc[3900]@-1: 0.28 <- mlp0tc[16632]@-1: 0.12 <- attn0[3]@37: 0.034\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit = greedy_get_top_paths(model, transcoders, cache, all_paths[0][0][-1], num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(subcircuit)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"id\": \"5b72978d-a6cc-4816-972c-ee1ac6f4a958\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9f9f'>8407</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16632</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.010</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa0a0'>20597</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>9188</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>16796</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>17476</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>128</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>6866</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>3698</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>9853</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>15170</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9393ff'>6696</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa8a8'>17226</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>2937</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, subcircuit[0][0][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"eb4b403b-39cb-4b35-9570-8bdc80ce28b6\",\n   \"metadata\": {},\n   \"source\": [\n    \"Yep, looks like all roads lead to semicolon.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"4e4d1a39-8d35-487a-a670-6627db776b9f\",\n   \"metadata\": {},\n   \"source\": [\n    \"### `attn7[7]@35`\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"id\": \"9835181c-296f-4711-b215-bbbe1d78c1af\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: attn7[7]@35: 3.6 <- attn4[11]@34: 0.44\\n\",\n      \"Path [0][1]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29\\n\",\n      \"Path [0][2]: attn7[7]@35: 3.6 <- mlp6tc[17701]@35: 0.24\\n\",\n      \"Path [0][3]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21\\n\",\n      \"Path [0][4]: attn7[7]@35: 3.6 <- mlp6tc[21046]@35: 0.21\\n\",\n      \"Path [0][5]: attn7[7]@35: 3.6 <- attn5[10]@17: 0.19\\n\",\n      \"Path [0][6]: attn7[7]@35: 3.6 <- attn0[1]@35: 0.16\\n\",\n      \"Path [0][7]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16\\n\",\n      \"Path [0][8]: attn7[7]@35: 3.6 <- mlp4tc[12272]@35: 0.15\\n\",\n      \"Path [0][9]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13\\n\",\n      \"Path [0][10]: attn7[7]@35: 3.6 <- attn4[1]@31: 0.13\\n\",\n      \"Path [0][11]: attn7[7]@35: 3.6 <- attn3[1]@31: 0.12\\n\",\n      \"Path [0][12]: attn7[7]@35: 3.6 <- attn4[3]@33: 0.1\\n\",\n      \"Path [0][13]: attn7[7]@35: 3.6 <- attn5[0]@35: 0.1\\n\",\n      \"Path [0][14]: attn7[7]@35: 3.6 <- mlp4tc[11462]@35: 0.1\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082\\n\",\n      \"Path [1][1]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08\\n\",\n      \"Path [1][2]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- attn0[1]@34: 0.059\\n\",\n      \"Path [1][3]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- attn4[11]@33: 0.053\\n\",\n      \"Path [1][4]: attn7[7]@35: 3.6 <- attn4[11]@34: 0.44 <- attn3[3]@33: 0.048\\n\",\n      \"Path [1][5]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047\\n\",\n      \"Path [1][6]: attn7[7]@35: 3.6 <- attn5[10]@17: 0.19 <- attn4[3]@17: 0.046\\n\",\n      \"Path [1][7]: attn7[7]@35: 3.6 <- attn4[3]@33: 0.1 <- mlp2tc[4519]@33: 0.046\\n\",\n      \"Path [1][8]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045\\n\",\n      \"Path [1][9]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp2tc[13516]@34: 0.042\\n\",\n      \"Path [1][10]: attn7[7]@35: 3.6 <- attn4[11]@34: 0.44 <- attn1[0]@33: 0.042\\n\",\n      \"Path [1][11]: attn7[7]@35: 3.6 <- mlp6tc[21046]@35: 0.21 <- attn6[8]@34: 0.04\\n\",\n      \"Path [1][12]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- attn0[4]@34: 0.038\\n\",\n      \"Path [1][13]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037\\n\",\n      \"Path [1][14]: attn7[7]@35: 3.6 <- mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- embed0@32: 0.048\\n\",\n      \"Path [2][1]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047\\n\",\n      \"Path [2][2]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045 <- mlp0tc[7659]@34: 0.044\\n\",\n      \"Path [2][3]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp2tc[13516]@34: 0.042 <- mlp0tc[7659]@34: 0.041\\n\",\n      \"Path [2][4]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[1]@32: 0.038\\n\",\n      \"Path [2][5]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[1]@34: 0.034\\n\",\n      \"Path [2][6]: attn7[7]@35: 3.6 <- attn4[3]@33: 0.1 <- mlp2tc[4519]@33: 0.046 <- mlp0tc[4579]@33: 0.032\\n\",\n      \"Path [2][7]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[5]@32: 0.03\\n\",\n      \"Path [2][8]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- embed0@34: 0.028\\n\",\n      \"Path [2][9]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[5]@34: 0.021\\n\",\n      \"Path [2][10]: attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[3]@32: 0.018\\n\",\n      \"Path [2][11]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[3]@34: 0.017\\n\",\n      \"Path [2][12]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014\\n\",\n      \"Path [2][13]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[4]@34: 0.013\\n\",\n      \"Path [2][14]: attn7[7]@35: 3.6 <- mlp6tc[21046]@35: 0.21 <- attn6[8]@34: 0.04 <- mlp0tc[7659]@34: 0.012\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047 <- attn0[1]@34: 0.023\\n\",\n      \"Path [3][1]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047 <- embed0@34: 0.019\\n\",\n      \"Path [3][2]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045 <- mlp0tc[7659]@34: 0.044 <- attn0[1]@34: 0.018\\n\",\n      \"Path [3][3]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp2tc[13516]@34: 0.042 <- mlp0tc[7659]@34: 0.041 <- attn0[1]@34: 0.017\\n\",\n      \"Path [3][4]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045 <- mlp0tc[7659]@34: 0.044 <- embed0@34: 0.015\\n\",\n      \"Path [3][5]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp2tc[13516]@34: 0.042 <- mlp0tc[7659]@34: 0.041 <- embed0@34: 0.014\\n\",\n      \"Path [3][6]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047 <- attn0[5]@34: 0.014\\n\",\n      \"Path [3][7]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013\\n\",\n      \"Path [3][8]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047 <- attn0[3]@34: 0.012\\n\",\n      \"Path [3][9]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045 <- mlp0tc[7659]@34: 0.044 <- attn0[5]@34: 0.012\\n\",\n      \"Path [3][10]: attn7[7]@35: 3.6 <- attn4[3]@33: 0.1 <- mlp2tc[4519]@33: 0.046 <- mlp0tc[4579]@33: 0.032 <- embed0@33: 0.011\\n\",\n      \"Path [3][11]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp2tc[13516]@34: 0.042 <- mlp0tc[7659]@34: 0.041 <- attn0[5]@34: 0.011\\n\",\n      \"Path [3][12]: attn7[7]@35: 3.6 <- attn4[3]@33: 0.1 <- mlp2tc[4519]@33: 0.046 <- mlp0tc[4579]@33: 0.032 <- attn0[1]@33: 0.011\\n\",\n      \"Path [3][13]: attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp2tc[13516]@34: 0.045 <- mlp0tc[7659]@34: 0.044 <- attn0[3]@34: 0.0094\\n\",\n      \"Path [3][14]: attn7[7]@35: 3.6 <- attn3[7]@34: 0.13 <- mlp1tc[3732]@34: 0.047 <- mlp0tc[7659]@34: 0.047 <- attn0[4]@34: 0.0091\\n\",\n      \"--- Paths of size 6 ---\\n\",\n      \"Path [4][0]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[1]@34: 0.0056\\n\",\n      \"Path [4][1]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- embed0@34: 0.0047\\n\",\n      \"Path [4][2]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[5]@34: 0.0035\\n\",\n      \"Path [4][3]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[3]@34: 0.0028\\n\",\n      \"Path [4][4]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[4]@34: 0.0022\\n\",\n      \"Path [4][5]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[8]@27: 0.00036\\n\",\n      \"Path [4][6]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[10]@34: 0.00027\\n\",\n      \"Path [4][7]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[9]@23: 0.00016\\n\",\n      \"Path [4][8]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[7]@31: 0.00015\\n\",\n      \"Path [4][9]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[8]@30: 0.0001\\n\",\n      \"Path [4][10]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[7]@32: 0.0001\\n\",\n      \"Path [4][11]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[9]@21: 9.2e-05\\n\",\n      \"Path [4][12]: attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16 <- attn3[7]@34: 0.037 <- mlp2tc[13516]@34: 0.014 <- mlp0tc[7659]@34: 0.013 <- attn0[9]@14: 7.7e-05\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit = greedy_get_top_paths(model, transcoders, cache, all_paths[0][1][-1], num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(subcircuit)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"id\": \"0a3b79e6-345d-48f0-9d83-65973f0eee04\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[12584]@32: 0.082</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>arios</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.019</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>P</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.047</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>aria</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.019</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b0b0ff'>PF</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.021</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>phies</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.019</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b2b2ff'>PET</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.020</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>ties</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.019</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b3b3ff'>PO</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.020</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb6b6'>thur</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.018</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b5b5ff'>PB</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.019</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, subcircuit[1][0][-1], k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"id\": \"42950986-1416-4dae-8cc4-c3a72351e641\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[7659]@34: 0.08</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc3c3'>pora</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>ck</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc3c3'>&nbsp;Emir</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b3b3ff'>cks</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.014</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc5c5'>andum</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b9b9ff'>cking</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.012</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc5c5'>&nbsp;audi</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c0c0fe'>cker</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.010</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec6c6'>english</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c2c2ff'>cki</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, subcircuit[1][1][-1], k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"id\": \"b633e3fe-58d4-4e5f-8666-9c64c118fd06\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp6tc[17701]@35: 0.24 <- attn0[8]@31: 0.0089\\n\",\n      \"Path [1]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- attn0[1]@34: 0.0033\\n\",\n      \"Path [2]: mlp6tc[17701]@35: 0.24 <- mlp5tc[13712]@35: 0.013 <- mlp0tc[16267]@35: 0.0035 <- embed0@35: 0.0035\\n\",\n      \"Path [3]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp0tc[7659]@34: 0.0079 <- attn0[1]@34: 0.0033\\n\",\n      \"Path [4]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp0tc[18839]@17: 0.0059 <- embed0@17: 0.003\\n\",\n      \"Path [5]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp0tc[18839]@17: 0.0059 <- attn0[5]@17: 0.003\\n\",\n      \"Path [6]: mlp6tc[17701]@35: 0.24 <- mlp5tc[13712]@35: 0.013 <- mlp0tc[16267]@35: 0.0035 <- attn0[1]@35: 0.003\\n\",\n      \"Path [7]: mlp6tc[17701]@35: 0.24 <- attn3[6]@32: 0.015 <- mlp0tc[12584]@32: 0.0048 <- embed0@32: 0.0028\\n\",\n      \"Path [8]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp0tc[7659]@34: 0.0079 <- embed0@34: 0.0028\\n\",\n      \"Path [9]: mlp6tc[17701]@35: 0.24 <- attn3[6]@32: 0.015 <- mlp0tc[12584]@32: 0.0048 <- attn0[1]@32: 0.0022\\n\",\n      \"Path [10]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp0tc[7659]@34: 0.0079 <- attn0[5]@34: 0.0021\\n\",\n      \"Path [11]: mlp6tc[17701]@35: 0.24 <- attn3[6]@32: 0.015 <- mlp0tc[12584]@32: 0.0048 <- attn0[5]@32: 0.0018\\n\",\n      \"Path [12]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp0tc[7659]@34: 0.0079 <- attn0[3]@34: 0.0017\\n\",\n      \"Path [13]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- embed0@17: 0.0018\\n\",\n      \"Path [14]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- attn0[5]@17: 0.0018\\n\",\n      \"Path [15]: mlp6tc[17701]@35: 0.24 <- attn3[7]@34: 0.016 <- mlp2tc[13516]@34: 0.0036 <- mlp0tc[7659]@34: 0.0035 <- attn0[1]@34: 0.0015\\n\",\n      \"Path [16]: mlp6tc[17701]@35: 0.24 <- attn3[7]@34: 0.016 <- mlp2tc[13516]@34: 0.0036 <- mlp0tc[7659]@34: 0.0035 <- embed0@34: 0.0012\\n\",\n      \"Path [17]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- attn0[1]@17: 0.00092\\n\",\n      \"Path [18]: mlp6tc[17701]@35: 0.24 <- attn3[7]@34: 0.016 <- mlp2tc[13516]@34: 0.0036 <- mlp0tc[7659]@34: 0.0035 <- attn0[5]@34: 0.00092\\n\",\n      \"Path [19]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- attn0[3]@17: 0.0009\\n\",\n      \"Path [20]: mlp6tc[17701]@35: 0.24 <- attn3[7]@34: 0.016 <- mlp2tc[13516]@34: 0.0036 <- mlp0tc[7659]@34: 0.0035 <- attn0[3]@34: 0.00075\\n\",\n      \"Path [21]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp3tc[19283]@34: 0.0055 <- mlp0tc[7659]@34: 0.0017 <- attn0[1]@34: 0.00069\\n\",\n      \"Path [22]: mlp6tc[17701]@35: 0.24 <- attn3[7]@34: 0.016 <- mlp2tc[13516]@34: 0.0036 <- mlp0tc[7659]@34: 0.0035 <- attn0[4]@34: 0.00058\\n\",\n      \"Path [23]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp3tc[19283]@34: 0.0055 <- mlp0tc[7659]@34: 0.0017 <- embed0@34: 0.00058\\n\",\n      \"Path [24]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp3tc[19283]@34: 0.0055 <- mlp0tc[7659]@34: 0.0017 <- attn0[5]@34: 0.00043\\n\",\n      \"Path [25]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- attn0[10]@17: 0.0004\\n\",\n      \"Path [26]: mlp6tc[17701]@35: 0.24 <- attn5[10]@17: 0.034 <- mlp3tc[13751]@17: 0.0072 <- mlp0tc[18839]@17: 0.0035 <- attn0[4]@17: 0.00036\\n\",\n      \"Path [27]: mlp6tc[17701]@35: 0.24 <- attn6[8]@34: 0.036 <- mlp3tc[19283]@34: 0.0055 <- mlp0tc[7659]@34: 0.0017 <- attn0[3]@34: 0.00035\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subcircuit2 = greedy_get_top_paths(model, transcoders, cache, subcircuit[0][2][-1], num_iters=5, num_branches=15)\\n\",\n    \"subcircuit2 = get_paths_via_filter(subcircuit2, suffix_path=[FeatureFilter(layer=0, sublayer='resid_pre')])\\n\",\n    \"print_all_paths(subcircuit2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"id\": \"02f4c135-c8ae-48ae-8518-c0321609a5a6\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp6tc[17701]attn6[8]attn0[1]@34: 0.0033</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7575'>&nbsp;symb</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;Caldwell</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7878'>Sem</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>gar</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7979'>&nbsp;equival</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>gary</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7979'>Redditor</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>Ken</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7a7a'>izont</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>&nbsp;Hay</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7b7b'>&nbsp;Underworld</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8181ff'>&nbsp;Elk</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7c7c'>&nbsp;suscept</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>ech</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7c7c'>&nbsp;Symb</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>&nbsp;Gat</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7d7d'>quin</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;Kag</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7e7e'>&nbsp;paradox</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;Flint</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, subcircuit2[1][-1], k=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"14fa1b94-d1b2-4d41-8d5e-56fff197b324\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Filtered paths\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"id\": \"3013c13d-5f5f-4234-9a74-ae3521160f68\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6\\n\",\n      \"Path [0][1]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1\\n\",\n      \"Path [0][2]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2\\n\",\n      \"Path [0][3]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2\\n\",\n      \"Path [0][4]: mlp8tc[355]@-1 <- attn8[6]@35: 1.1\\n\",\n      \"Path [0][5]: mlp8tc[355]@-1 <- attn3[6]@36: 1.0\\n\",\n      \"Path [0][6]: mlp8tc[355]@-1 <- attn2[9]@36: 0.92\\n\",\n      \"Path [0][7]: mlp8tc[355]@-1 <- attn2[2]@36: 0.67\\n\",\n      \"Path [0][8]: mlp8tc[355]@-1 <- attn6[8]@36: 0.63\\n\",\n      \"Path [0][9]: mlp8tc[355]@-1 <- attn7[7]@36: 0.57\\n\",\n      \"Path [0][10]: mlp8tc[355]@-1 <- attn7[5]@17: 0.55\\n\",\n      \"Path [0][11]: mlp8tc[355]@-1 <- attn6[3]@36: 0.49\\n\",\n      \"Path [0][12]: mlp8tc[355]@-1 <- attn3[2]@35: 0.46\\n\",\n      \"Path [0][13]: mlp8tc[355]@-1 <- attn6[10]@36: 0.44\\n\",\n      \"Path [0][14]: mlp8tc[355]@-1 <- attn3[5]@36: 0.43\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn4[11]@34: 0.44\\n\",\n      \"Path [1][1]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31\\n\",\n      \"Path [1][2]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29\\n\",\n      \"Path [1][3]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp0tc[10109]@31: 0.26\\n\",\n      \"Path [1][4]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- mlp6tc[17701]@35: 0.24\\n\",\n      \"Path [1][5]: mlp8tc[355]@-1 <- attn2[9]@36: 0.92 <- mlp0tc[13196]@36: 0.22\\n\",\n      \"Path [1][6]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21\\n\",\n      \"Path [1][7]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- mlp6tc[21046]@35: 0.21\\n\",\n      \"Path [1][8]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2\\n\",\n      \"Path [1][9]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn5[10]@17: 0.19\\n\",\n      \"Path [1][10]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp3tc[15920]@36: 0.18\\n\",\n      \"Path [1][11]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2 <- mlp3tc[15920]@36: 0.18\\n\",\n      \"Path [1][12]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn0[1]@35: 0.16\\n\",\n      \"Path [1][13]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- mlp4tc[23789]@35: 0.16\\n\",\n      \"Path [1][14]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2 <- mlp0tc[13196]@36: 0.15\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp0tc[10109]@31: 0.26 <- embed0@31: 0.23\\n\",\n      \"Path [2][1]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31 <- attn0[5]@36: 0.19\\n\",\n      \"Path [2][2]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp0tc[10109]@31: 0.26 <- attn0[1]@31: 0.19\\n\",\n      \"Path [2][3]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31 <- attn0[1]@36: 0.14\\n\",\n      \"Path [2][4]: mlp8tc[355]@-1 <- attn2[9]@36: 0.92 <- mlp0tc[13196]@36: 0.22 <- attn0[5]@36: 0.14\\n\",\n      \"Path [2][5]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31 <- embed0@36: 0.13\\n\",\n      \"Path [2][6]: mlp8tc[355]@-1 <- attn2[9]@36: 0.92 <- mlp0tc[13196]@36: 0.22 <- attn0[1]@36: 0.1\\n\",\n      \"Path [2][7]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2 <- mlp0tc[13196]@36: 0.15 <- attn0[5]@36: 0.097\\n\",\n      \"Path [2][8]: mlp8tc[355]@-1 <- attn2[9]@36: 0.92 <- mlp0tc[13196]@36: 0.22 <- embed0@36: 0.091\\n\",\n      \"Path [2][9]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082\\n\",\n      \"Path [2][10]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08\\n\",\n      \"Path [2][11]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078\\n\",\n      \"Path [2][12]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2 <- mlp0tc[13196]@36: 0.15 <- attn0[1]@36: 0.071\\n\",\n      \"Path [2][13]: mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31 <- attn0[3]@36: 0.069\\n\",\n      \"Path [2][14]: mlp8tc[355]@-1 <- attn4[11]@36: 1.2 <- mlp0tc[13196]@36: 0.15 <- embed0@36: 0.064\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- embed0@31: 0.07\\n\",\n      \"Path [3][1]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- attn0[1]@31: 0.056\\n\",\n      \"Path [3][2]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- embed0@32: 0.048\\n\",\n      \"Path [3][3]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[1]@32: 0.038\\n\",\n      \"Path [3][4]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[1]@34: 0.034\\n\",\n      \"Path [3][5]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[5]@32: 0.03\\n\",\n      \"Path [3][6]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- embed0@34: 0.028\\n\",\n      \"Path [3][7]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[5]@34: 0.021\\n\",\n      \"Path [3][8]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn3[6]@32: 0.21 <- mlp0tc[12584]@32: 0.082 <- attn0[3]@32: 0.018\\n\",\n      \"Path [3][9]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[3]@34: 0.017\\n\",\n      \"Path [3][10]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- attn0[5]@31: 0.016\\n\",\n      \"Path [3][11]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- attn0[7]@31: 0.014\\n\",\n      \"Path [3][12]: mlp8tc[355]@-1 <- attn7[7]@35: 3.6 <- attn6[8]@34: 0.29 <- mlp0tc[7659]@34: 0.08 <- attn0[4]@34: 0.013\\n\",\n      \"Path [3][13]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- attn0[8]@31: 0.0084\\n\",\n      \"Path [3][14]: mlp8tc[355]@-1 <- attn3[1]@31: 1.2 <- mlp1tc[15099]@31: 0.2 <- mlp0tc[10109]@31: 0.078 <- attn0[2]@31: 0.0069\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"filtered_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                 filter=FeatureFilter(token=37, token_filter_type=FilterType.NE))\\n\",\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"757c2f48-fbdc-4423-b76f-b2e1e0ba5a0b\",\n   \"metadata\": {},\n   \"source\": [\n    \"De-embeddings:\\n\",\n    \"* `mlp0tc[13196]@36`: 1973 (then, to a lesser extent, 1971, 1967, 1966...)\\n\",\n    \"* `mlp0tc[10109]@31`: ` (`\\n\",\n    \"* `mlp8tc[355]attn7[7]attn0[1]@35`: \\\"je\\\", then \\\" Haley\\\", then \\\" Jama\\\", then \\\"jay\\\", then \\\"kay\\\"\\n\",\n    \"* `mlp0tc[12584]@32`: `P`\\n\",\n    \"* `mlp0tc[7659]@34`: `ck`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a118a20b-4c93-4df7-9a0c-a84519c69aca\",\n   \"metadata\": {},\n   \"source\": [\n    \"What's going on with `mlp6tc[21046]@35`? Let's take an input-independent look.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"id\": \"23de2d99-7da9-44b0-ae3c-9ca7f41547be\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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     \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9494'>19232</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16382</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9b9b'>5716</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>5468</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9c9c'>18097</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>4841</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>7076</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>17699</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>8340</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9393ff'>20902</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9e9e'>24108</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>8371</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9e9e'>9379</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>10243</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, filtered_paths[1][7][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"id\": \"58d80231-7505-4e2f-bc0e-a35bbee61fa2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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class='token' style='background-color: #ff9494'>19232</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.408</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16382</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.568</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9b9b'>5716</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.353</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>5468</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.495</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9c9c'>18097</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.343</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>4841</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.480</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>7076</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.339</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>17699</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.422</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>8340</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.336</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9393ff'>20902</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.415</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9e9e'>24108</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.331</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>8371</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.397</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9e9e'>9379</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.331</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>10243</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.394</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffdede'>2879</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.068</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>23899</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.463</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffebeb'>15548</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.011</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>16267</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.459</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>12686</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9f9fff'>4328</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.329</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>3</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #d8d8ff'>16429</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.093</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>1</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #dbdbff'>6185</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.081</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>4</span></td>\\n\",\n       \"    <td style='text-align:right'>0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #dcdcff'>2154</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.077</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>5</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #dfdfff'>12107</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.063</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"mlp6tc21046 = make_sae_feature_vector(transcoders[6], 21046, token=35)\\n\",\n    \"display_transcoder_pullback_features(model, mlp6tc21046, transcoders[0])\\n\",\n    \"display_transcoder_pullback_features(model, mlp6tc21046, transcoders[0], input_tokens=owt_tokens_torch, input_token_idx=35, input_example=5701)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"id\": \"50336274-be43-4596-9d76-d3f247460ad4\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>ctr</span></td>\\n\",\n       \"    <td style='text-align:right'>-4.179</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;Burnett</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>&nbsp;Soy</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.712</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>&nbsp;Hawkins</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.631</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>Cent</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.707</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;MacDonald</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.446</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>quest</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.602</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>&nbsp;Johnston</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.393</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>cent</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.564</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&nbsp;Keane</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.283</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>Space</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.552</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>&nbsp;Brewer</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.080</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>isions</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.503</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>&nbsp;Barker</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>&nbsp;Sciences</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.494</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>&nbsp;Robertson</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffafaf'>&nbsp;tract</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.409</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>&nbsp;Olson</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffafaf'>SEC</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.359</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>&nbsp;Andersen</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.999</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 5468, k=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"id\": \"0bf940be-84e5-488a-bf2e-4e1bfb27ddaf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec8c8'>&nbsp;ver</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.045</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>oglu</span></td>\\n\",\n       \"    <td style='text-align:right'>+11.389</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcaca'>&nbsp;NCT</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.869</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>owski</span></td>\\n\",\n       \"    <td style='text-align:right'>+11.307</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcccc'>&nbsp;Myst</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.594</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>zyk</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.449</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcece'>&nbsp;Memor</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.429</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>chenko</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.238</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>&nbsp;Mal</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.348</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>kowski</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.981</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>&nbsp;deal</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.339</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>iewicz</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.964</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>&nbsp;Mort</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.312</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>owicz</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.933</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd0d0'>&nbsp;Mer</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.226</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>henko</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.703</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd0d0'>&nbsp;Route</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.198</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8e8eff'>ansson</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.603</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd1d1'>&nbsp;Labor</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.141</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8f8fff'>ansky</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.491</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 16382, k=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6535d158-9d78-45c3-a5f0-95acfe19c1b5\",\n   \"metadata\": {},\n   \"source\": [\n    \"Polish surnames. Neat.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"2d8885c9-f4c4-4b87-ad59-48af4d8868b7\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Current hypothesis\\n\",\n    \"\\n\",\n    \"This feature so far has proven to be a bit of a doozy, but I think I've got a good hypothesis now.\\n\",\n    \"\\n\",\n    \"Hint: token 31 is an open parenthesis ` (`. Token 36 is a year. Tokens 32-35 are some hard-to-tokenize surname (probably Polish in this case). The final token (token 37) is a semicolon `;`. Put this all together: what are we looking at?\\n\",\n    \"\\n\",\n    \"**Current hypothesis**: Feature fires on parenthetical scientific citations that reference multiple works.\\n\",\n    \"\\n\",\n    \"E.g. the semicolon in `(Piotrowski 1973; Kubota 1982)`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3942c5ac-9cf5-4576-80df-9bcb31170ae5\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 6063, 47\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"id\": \"5b305a0b-ed61-4cc6-8a2d-df9ca08d3f8b\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[6063, :47+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"id\": \"9b2454a3-75bd-42d6-b7dd-8582c502d7f2\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[355]@-1 <- mlp6tc[11831]@-1: 5.1\\n\",\n      \"Path [0][1]: mlp8tc[355]@-1 <- mlp0tc[9188]@-1: 3.4\\n\",\n      \"Path [0][2]: mlp8tc[355]@-1 <- mlp5tc[12450]@-1: 3.1\\n\",\n      \"Path [0][3]: mlp8tc[355]@-1 <- mlp7tc[10909]@-1: 2.8\\n\",\n      \"Path [0][4]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6\\n\",\n      \"Path [0][5]: mlp8tc[355]@-1 <- mlp0tc[16632]@-1: 2.5\\n\",\n      \"Path [0][6]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9\\n\",\n      \"Path [0][7]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6\\n\",\n      \"Path [0][8]: mlp8tc[355]@-1 <- attn4[11]@46: 1.3\\n\",\n      \"Path [0][9]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3\\n\",\n      \"Path [0][10]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2\\n\",\n      \"Path [0][11]: mlp8tc[355]@-1 <- mlp7tc[3100]@-1: 1.2\\n\",\n      \"Path [0][12]: mlp8tc[355]@-1 <- mlp5tc[24026]@-1: 1.2\\n\",\n      \"Path [0][13]: mlp8tc[355]@-1 <- attn5[6]@46: 1.2\\n\",\n      \"Path [0][14]: mlp8tc[355]@-1 <- mlp3tc[18385]@-1: 1.0\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[355]@-1 <- mlp0tc[9188]@-1: 3.4 <- embed0@-1: 2.7\\n\",\n      \"Path [1][1]: mlp8tc[355]@-1 <- mlp0tc[16632]@-1: 2.5 <- embed0@-1: 2.2\\n\",\n      \"Path [1][2]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[9188]@-1: 1.5\\n\",\n      \"Path [1][3]: mlp8tc[355]@-1 <- mlp0tc[16632]@-1: 2.5 <- attn0[1]@47: 1.5\\n\",\n      \"Path [1][4]: mlp8tc[355]@-1 <- mlp0tc[9188]@-1: 3.4 <- attn0[1]@47: 1.4\\n\",\n      \"Path [1][5]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[16632]@-1: 1.2\\n\",\n      \"Path [1][6]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[9188]@-1: 1.2\\n\",\n      \"Path [1][7]: mlp8tc[355]@-1 <- mlp0tc[16632]@-1: 2.5 <- attn0[3]@47: 0.88\\n\",\n      \"Path [1][8]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[16632]@-1: 0.84\\n\",\n      \"Path [1][9]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp0tc[9188]@-1: 0.81\\n\",\n      \"Path [1][10]: mlp8tc[355]@-1 <- mlp0tc[9188]@-1: 3.4 <- attn0[3]@47: 0.77\\n\",\n      \"Path [1][11]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74\\n\",\n      \"Path [1][12]: mlp8tc[355]@-1 <- mlp0tc[9188]@-1: 3.4 <- attn0[5]@47: 0.73\\n\",\n      \"Path [1][13]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp0tc[16632]@-1: 0.67\\n\",\n      \"Path [1][14]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- attn0[1]@47: 0.62\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[9188]@-1: 1.5 <- embed0@-1: 1.2\\n\",\n      \"Path [2][1]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[16632]@-1: 1.2 <- embed0@-1: 1.1\\n\",\n      \"Path [2][2]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[9188]@-1: 1.2 <- embed0@-1: 0.9\\n\",\n      \"Path [2][3]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[16632]@-1: 0.84 <- embed0@-1: 0.74\\n\",\n      \"Path [2][4]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[16632]@-1: 1.2 <- attn0[1]@47: 0.73\\n\",\n      \"Path [2][5]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp0tc[9188]@-1: 0.81 <- embed0@-1: 0.63\\n\",\n      \"Path [2][6]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[9188]@-1: 1.5 <- attn0[1]@47: 0.62\\n\",\n      \"Path [2][7]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp0tc[16632]@-1: 0.67 <- embed0@-1: 0.6\\n\",\n      \"Path [2][8]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[16632]@-1: 0.84 <- attn0[1]@47: 0.51\\n\",\n      \"Path [2][9]: mlp8tc[355]@-1 <- mlp2tc[3900]@-1: 1.9 <- mlp0tc[9188]@-1: 1.2 <- attn0[1]@47: 0.47\\n\",\n      \"Path [2][10]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44\\n\",\n      \"Path [2][11]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[16632]@-1: 1.2 <- attn0[3]@47: 0.42\\n\",\n      \"Path [2][12]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp0tc[16632]@-1: 0.67 <- attn0[1]@47: 0.41\\n\",\n      \"Path [2][13]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35\\n\",\n      \"Path [2][14]: mlp8tc[355]@-1 <- mlp1tc[22184]@-1: 2.6 <- mlp0tc[9188]@-1: 1.5 <- attn0[3]@47: 0.34\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- embed0@-1: 0.34\\n\",\n      \"Path [3][1]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- embed0@-1: 0.31\\n\",\n      \"Path [3][2]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- attn0[1]@47: 0.21\\n\",\n      \"Path [3][3]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[1]@47: 0.18\\n\",\n      \"Path [3][4]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- attn0[3]@47: 0.12\\n\",\n      \"Path [3][5]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[3]@47: 0.099\\n\",\n      \"Path [3][6]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[5]@47: 0.094\\n\",\n      \"Path [3][7]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- attn0[5]@47: 0.08\\n\",\n      \"Path [3][8]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[6]@46: 0.05\\n\",\n      \"Path [3][9]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[8]@39: 0.036\\n\",\n      \"Path [3][10]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- attn0[8]@39: 0.026\\n\",\n      \"Path [3][11]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[8]@45: 0.022\\n\",\n      \"Path [3][12]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[9]@39: 0.02\\n\",\n      \"Path [3][13]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[16632]@-1: 0.35 <- attn0[8]@45: 0.02\\n\",\n      \"Path [3][14]: mlp8tc[355]@-1 <- mlp3tc[6238]@-1: 1.2 <- mlp1tc[22184]@-1: 0.74 <- mlp0tc[9188]@-1: 0.44 <- attn0[4]@47: 0.018\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"id\": \"9fb9543e-4785-40a0-8a3c-12acfa28c1d2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[9188]@-1: 3.4</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>NOR</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.935</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>;</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.547</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>Balt</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.926</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&#x27;;</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.344</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>ommel</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.906</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>%;</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.272</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>itri</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.888</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>.;</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.206</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>ardless</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.884</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&nbsp;[];</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.171</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>YING</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.882</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>&quot;;</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.022</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>&nbsp;Squid</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.880</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>;&quot;</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.912</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, all_paths[0][1][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"4665e305-32ef-46c0-bd6a-2d8a6a0416f2\",\n   \"metadata\": {},\n   \"source\": [\n    \"Another semicolon. Let's filter out the last token again.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"id\": \"96fcd80f-f473-47e7-9767-3e9099a1e3b7\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6\\n\",\n      \"Path [0][1]: mlp8tc[355]@-1 <- attn4[11]@46: 1.3\\n\",\n      \"Path [0][2]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3\\n\",\n      \"Path [0][3]: mlp8tc[355]@-1 <- attn5[6]@46: 1.2\\n\",\n      \"Path [0][4]: mlp8tc[355]@-1 <- attn8[6]@40: 1.0\\n\",\n      \"Path [0][5]: mlp8tc[355]@-1 <- attn4[8]@47: 0.95\\n\",\n      \"Path [0][6]: mlp8tc[355]@-1 <- attn8[3]@9: 0.82\\n\",\n      \"Path [0][7]: mlp8tc[355]@-1 <- attn0[3]@47: 0.66\\n\",\n      \"Path [0][8]: mlp8tc[355]@-1 <- attn3[6]@46: 0.63\\n\",\n      \"Path [0][9]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49\\n\",\n      \"Path [0][10]: mlp8tc[355]@-1 <- attn0[1]@47: 0.49\\n\",\n      \"Path [0][11]: mlp8tc[355]@-1 <- attn2[2]@46: 0.48\\n\",\n      \"Path [0][12]: mlp8tc[355]@-1 <- attn6[1]@44: 0.47\\n\",\n      \"Path [0][13]: mlp8tc[355]@-1 <- attn0[10]@47: 0.46\\n\",\n      \"Path [0][14]: mlp8tc[355]@-1 <- attn3[2]@45: 0.45\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58\\n\",\n      \"Path [1][1]: mlp8tc[355]@-1 <- attn6[1]@44: 0.47 <- attn5[5]@9: 0.34\\n\",\n      \"Path [1][2]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[10109]@39: 0.29\\n\",\n      \"Path [1][3]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[0]@11: 0.25\\n\",\n      \"Path [1][4]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49 <- mlp0tc[21019]@46: 0.21\\n\",\n      \"Path [1][5]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18\\n\",\n      \"Path [1][6]: mlp8tc[355]@-1 <- attn4[11]@46: 1.3 <- mlp0tc[21019]@46: 0.18\\n\",\n      \"Path [1][7]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[22073]@39: 0.17\\n\",\n      \"Path [1][8]: mlp8tc[355]@-1 <- attn5[6]@46: 1.2 <- mlp0tc[21019]@46: 0.15\\n\",\n      \"Path [1][9]: mlp8tc[355]@-1 <- attn8[6]@40: 1.0 <- attn7[1]@6: 0.15\\n\",\n      \"Path [1][10]: mlp8tc[355]@-1 <- attn4[11]@46: 1.3 <- mlp3tc[15920]@46: 0.14\\n\",\n      \"Path [1][11]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- mlp0tc[19557]@46: 0.14\\n\",\n      \"Path [1][12]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[12328]@39: 0.14\\n\",\n      \"Path [1][13]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- attn1[11]@39: 0.13\\n\",\n      \"Path [1][14]: mlp8tc[355]@-1 <- attn3[6]@46: 0.63 <- mlp0tc[21019]@46: 0.13\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[10109]@39: 0.29 <- embed0@39: 0.26\\n\",\n      \"Path [2][1]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[10109]@39: 0.29 <- attn0[1]@39: 0.18\\n\",\n      \"Path [2][2]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[22073]@39: 0.17 <- embed0@39: 0.17\\n\",\n      \"Path [2][3]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[22073]@39: 0.17 <- attn0[1]@39: 0.17\\n\",\n      \"Path [2][4]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[12328]@39: 0.14 <- embed0@39: 0.14\\n\",\n      \"Path [2][5]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49 <- mlp0tc[21019]@46: 0.21 <- attn0[1]@46: 0.11\\n\",\n      \"Path [2][6]: mlp8tc[355]@-1 <- attn4[11]@46: 1.3 <- mlp0tc[21019]@46: 0.18 <- attn0[1]@46: 0.087\\n\",\n      \"Path [2][7]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086\\n\",\n      \"Path [2][8]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077\\n\",\n      \"Path [2][9]: mlp8tc[355]@-1 <- attn5[6]@46: 1.2 <- mlp0tc[21019]@46: 0.15 <- attn0[1]@46: 0.076\\n\",\n      \"Path [2][10]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- mlp0tc[19557]@46: 0.14 <- attn0[1]@46: 0.074\\n\",\n      \"Path [2][11]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49 <- mlp0tc[21019]@46: 0.21 <- attn0[5]@10: 0.073\\n\",\n      \"Path [2][12]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49 <- mlp0tc[21019]@46: 0.21 <- embed0@46: 0.073\\n\",\n      \"Path [2][13]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp0tc[22073]@39: 0.17 <- attn0[7]@37: 0.073\\n\",\n      \"Path [2][14]: mlp8tc[355]@-1 <- attn2[9]@46: 0.49 <- mlp0tc[21019]@46: 0.21 <- attn0[4]@46: 0.071\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- embed0@39: 0.077\\n\",\n      \"Path [3][1]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- embed0@11: 0.077\\n\",\n      \"Path [3][2]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[1]@39: 0.052\\n\",\n      \"Path [3][3]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- attn0[1]@11: 0.038\\n\",\n      \"Path [3][4]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- attn0[5]@11: 0.03\\n\",\n      \"Path [3][5]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[7]@39: 0.012\\n\",\n      \"Path [3][6]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[5]@3: 0.01\\n\",\n      \"Path [3][7]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- attn0[8]@9: 0.0084\\n\",\n      \"Path [3][8]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[5]@11: 0.0083\\n\",\n      \"Path [3][9]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[1]@3: 0.0081\\n\",\n      \"Path [3][10]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- attn0[7]@11: 0.008\\n\",\n      \"Path [3][11]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[8]@39: 0.0067\\n\",\n      \"Path [3][12]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[2]@39: 0.0064\\n\",\n      \"Path [3][13]: mlp8tc[355]@-1 <- attn3[1]@39: 1.3 <- mlp1tc[15099]@39: 0.18 <- mlp0tc[10109]@39: 0.086 <- attn0[3]@39: 0.0053\\n\",\n      \"Path [3][14]: mlp8tc[355]@-1 <- attn6[8]@46: 1.6 <- attn5[1]@11: 0.58 <- mlp0tc[16542]@11: 0.077 <- attn0[9]@11: 0.005\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"filtered_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                     filter=FeatureFilter(token=-1, token_filter_type=FilterType.NE))\\n\",\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"id\": \"b78f3559-36ab-4447-b139-e0df958e0ec8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[10109]@39: 0.29</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa9a9'>iqueness</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.104</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;(</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.206</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>esides</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.097</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;(=</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.175</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>...]</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.093</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;(~</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.175</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>vernment</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.093</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8e8eff'>&nbsp;(&gt;</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.169</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>),&quot;</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.087</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9191ff'>&nbsp;(&#x27;</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.161</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>icularly</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.086</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9393ff'>&nbsp;(&quot;</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.157</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>aundering</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.083</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9494ff'>&nbsp;([</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.155</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, filtered_paths[1][2][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"5e0516e1-0d6e-4892-a4ec-3b8dfe901c85\",\n   \"metadata\": {},\n   \"source\": [\n    \"There's our parenthesis!\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"id\": \"ead8d6b4-43b1-4d03-8f8d-23e37cc60f90\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[21019]@46: 0.21</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>&nbsp;Roose</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.039</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;1983</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.107</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>&nbsp;Commissioners</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.035</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&nbsp;1982</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.098</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>Flor</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.035</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>&nbsp;1981</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.095</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>estone</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.035</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>&nbsp;1984</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.091</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>ourney</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.032</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>1983</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.090</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc1c1'>&nbsp;Spartan</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.032</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9090ff'>&nbsp;1985</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.088</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc1c1'>&nbsp;Hera</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.031</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9191ff'>1982</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.086</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, filtered_paths[1][4][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"512585fa-0e23-4170-a86f-87b83631b3ef\",\n   \"metadata\": {},\n   \"source\": [\n    \"There's our year!\\n\",\n    \"\\n\",\n    \"Note that in our previous input, the year transcoder feature contributed through the computational path `mlp8tc[355]@-1 <- attn5[6]@36: 2.1 <- mlp0tc[13196]@36: 0.31` -- that is, through `attn5[6]`. Now, though, the year transcoder feature contributes through `attn2[9]`. Huh.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"23c6fc49-a608-424d-9b63-df97349b4357\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, what's going on at token 11 with `attn5`?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"id\": \"17c86f7d-2764-467e-a6c9-0e9617d045ff\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- attn0[1]@11: 0.044\\n\",\n      \"Path [1][1]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[16542]@11: 0.033\\n\",\n      \"Path [1][2]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4205]@11: 0.023\\n\",\n      \"Path [1][3]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[19728]@11: 0.021\\n\",\n      \"Path [1][4]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- attn0[10]@11: 0.012\\n\",\n      \"Path [1][5]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- attn0[5]@11: 0.0074\\n\",\n      \"Path [1][6]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[5012]@11: 0.0063\\n\",\n      \"Path [1][7]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[9233]@11: 0.0058\\n\",\n      \"Path [1][8]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- attn0[3]@11: 0.0044\\n\",\n      \"Path [1][9]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- attn0[4]@11: 0.0035\\n\",\n      \"Path [1][10]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4485]@11: 0.0026\\n\",\n      \"Path [1][11]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[12403]@11: 0.0024\\n\",\n      \"Path [1][12]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[23969]@11: 0.0022\\n\",\n      \"Path [1][13]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[11025]@11: 0.0019\\n\",\n      \"Path [1][14]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[1143]@11: 0.001\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[16542]@11: 0.033 <- embed0@11: 0.032\\n\",\n      \"Path [2][1]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[19728]@11: 0.021 <- embed0@11: 0.021\\n\",\n      \"Path [2][2]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[16542]@11: 0.033 <- attn0[1]@11: 0.016\\n\",\n      \"Path [2][3]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[19728]@11: 0.021 <- attn0[1]@11: 0.016\\n\",\n      \"Path [2][4]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[16542]@11: 0.033 <- attn0[5]@11: 0.013\\n\",\n      \"Path [2][5]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4205]@11: 0.023 <- embed0@11: 0.011\\n\",\n      \"Path [2][6]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4205]@11: 0.023 <- attn0[5]@11: 0.0092\\n\",\n      \"Path [2][7]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[19728]@11: 0.021 <- attn0[5]@11: 0.0074\\n\",\n      \"Path [2][8]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[5012]@11: 0.0063 <- embed0@11: 0.0063\\n\",\n      \"Path [2][9]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[5012]@11: 0.0063 <- attn0[5]@11: 0.0038\\n\",\n      \"Path [2][10]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[5012]@11: 0.0063 <- attn0[1]@11: 0.0035\\n\",\n      \"Path [2][11]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[16542]@11: 0.033 <- attn0[7]@11: 0.0034\\n\",\n      \"Path [2][12]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4205]@11: 0.023 <- attn0[2]@11: 0.0027\\n\",\n      \"Path [2][13]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4485]@11: 0.0026 <- embed0@11: 0.0026\\n\",\n      \"Path [2][14]: mlp8tc[355]@-1 <- attn1[5]@11: 0.2 <- mlp0tc[4485]@11: 0.0026 <- attn0[3]@11: 0.0026\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"filtered_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                     filter=FeatureFilter(token=11))\\n\",\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 208,\n   \"id\": \"5f001824-e698-4528-ab07-3677f518b568\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[16542]@11: 0.033</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>nance</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>?).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.028</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>%&quot;</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.027</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>arie</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>.).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.026</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec0c0'>ÍÍ</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.009</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&nbsp;).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.025</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc1c1'>grade</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>)).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.024</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc1c1'>sense</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>!).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.023</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc2c2'>&nbsp;Gry</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8f8fff'>&#x27;).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.023</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, filtered_paths[1][1][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 209,\n   \"id\": \"21e87c0e-7d44-4292-b0f5-d0990e1d6231\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[4205]@11: 0.023</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7777'>chio</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.045</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;Accessed</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.040</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7878'>raine</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.044</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>MpServer</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.039</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7a7a'>apist</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.043</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>itsch</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.036</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7b7b'>urus</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.042</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&nbsp;Retrieved</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.034</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7b7b'>ror</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.042</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>ournals</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.034</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7d7d'>&nbsp;euth</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.041</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>&nbsp;Neuroscience</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.032</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7d7d'>&nbsp;quartz</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.041</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;Springer</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.032</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, filtered_paths[1][2][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 210,\n   \"id\": \"ef7d237a-839a-45fa-8ba8-92f4bbe28035\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[19728]@11: 0.021</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc6c6'>&nbsp;‎</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>.).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.029</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc9c9'>tell</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>?).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.028</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec9c9'>&quot;,&quot;</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.028</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcaca'>pher</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.027</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fecaca'>umbn</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>!).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.027</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fecaca'>nance</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&#x27;).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.026</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcaca'>rieg</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>)).</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.025</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, filtered_paths[1][3][-1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"75c6c994-5f66-4c2c-88c2-4809d05925c3\",\n   \"metadata\": {},\n   \"source\": [\n    \"Huh. `mlp0tc[16542]` and `mlp0tc[19728]` would suggest a parenthesis feature, while `mlp0tc[4205]` would suggest a scientific journal feature.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7f304fba-bed1-411d-b72d-998a27de0201\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Moment of truth: confirming/denying our hypothesis\\n\",\n    \"\\n\",\n    \"**Final hypothesis**: Feature fires on semicolons in parenthetical scientific citations that reference multiple works. E.g. the semicolon in `(Piotrowski 1973; Kubota 1982)`\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 212,\n   \"id\": \"25880810-1d40-4f1e-a410-2effc5634c76\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<h3 style='font-family: serif'>Sparsity: 0.0892%</h3>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 14.61 and 17.53: 0.0001%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Res<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 241<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>247<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (14.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1978<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> In<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> paper<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 3062, token 90</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 11.69 and 14.61: 0.0015%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ay<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>th<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>am<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ah<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 23<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>82<span class='feature_val'> (0.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa232'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (11.72)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Tah<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>dh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ī<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>b<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span> Example 6123, token 65</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lesions<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>P<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>oe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ck<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1969<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa12f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (11.91)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> R<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>inn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1984<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> It<span class='feature_val'> (0.00)</span></span><span> Example 5701, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Rob<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>inson<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1984<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9f2b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (12.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Stark<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>stein<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1988<span class='feature_val'> (0.00)</span></span><span> Example 5701, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Hopkins<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Press<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcfa'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2012<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c24'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (12.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>95<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span> Example 2676, token 31</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fef3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (1.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cambridge<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Press<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2013<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9a1f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (12.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>80<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefbf8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>00<span class='feature_val'> (0.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> To<span class='feature_val'> (0.00)</span></span><span> Example 2555, token 108</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Kay<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>e<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fog<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>el<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1980<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff971a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (13.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cohn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Tr<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ick<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 6063, token 47</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> age<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ou<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>wen<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1971<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9515'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (13.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Wi<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>em<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ann<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.,<span class='feature_val'> (0.00)</span></span><span> Example 6189, token 79</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> information<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> processing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Le<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>isman<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1976<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9311'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (13.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>illo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Le<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>isman<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 6516, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Res<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 241<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>247<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (14.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1978<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> In<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> paper<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 3062, token 90</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 8.77 and 11.69: 0.0007%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> University<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Georgia<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Press<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb863'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>);</b><span class='feature_val'> (8.91)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> P<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>J<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Car<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>is<span class='feature_val'> (0.00)</span></span><span> Example 2577, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> =<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 27<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ±<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> years<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb55c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (9.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> weight<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 75<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>8<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ±<span class='feature_val'> (0.00)</span></span><span> Example 1371, token 15</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 62<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> years<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb357'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (9.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 45<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>%<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> men<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 14<span class='feature_val'> (0.00)</span></span><span> Example 11447, token 33</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&amp;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 88<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>118<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb051'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (9.97)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 109<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Certainly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 10401, token 23</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 215<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>345<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>127<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (10.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> email<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> t<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>mo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ore<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>@<span class='feature_val'> (0.00)</span></span><span> Example 1544, token 118</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aw<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ston<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Young<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2010<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (10.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>hes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> R<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ston<span class='feature_val'> (0.00)</span></span><span> Example 10828, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fef1df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (1.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa942'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>];</b><span class='feature_val'> (10.81)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Swedish<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (1.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ˈ<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 4677, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Davidson<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Tom<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ark<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>en<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1989<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa63b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (11.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Davidson<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1990<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span> Example 5688, token 114</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ff981c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>;<span class='feature_val'> (12.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sche<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>tt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2009<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa538'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (11.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Now<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>atz<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ky<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> et<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 10828, token 72</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 5.84 and 8.77: 0.0013%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> MC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Marvel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cinem<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>atic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Universe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecf95'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (6.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> i<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>e<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> anything<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> made<span class='feature_val'> (0.00)</span></span><span> Example 2173, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CK<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> chronic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> kidney<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> disease<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (6.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> FS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>GS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> focal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> segment<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>al<span class='feature_val'> (0.00)</span></span><span> Example 12506, token 11</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fresno<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> State<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 31<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcc8f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (6.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bye<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Rec<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ap<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span> Example 1516, token 13</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> times<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> GMT<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Friday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 22<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (6.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Saturday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 09<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe6c8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>;<span class='feature_val'> (3.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sunday<span class='feature_val'> (0.00)</span></span><span> Example 1280, token 82</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Image<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> credits<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>sur<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>gery<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec681'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (7.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> st<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>eth<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>oscope<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>When<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> David<span class='feature_val'> (0.00)</span></span><span> Example 10645, token 61</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>l<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>borough<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> House<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1972<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>);</b><span class='feature_val'> (7.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> William<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Shack<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Harlem<span class='feature_val'> (0.00)</span></span><span> Example 2577, token 96</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Time<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Season<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> premiere<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc37a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (7.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> new<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> day<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> time<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Sunday<span class='feature_val'> (0.00)</span></span><span> Example 8204, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> μ<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>M<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (8.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> n<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>=<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span> Example 4814, token 91</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Spanish<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pronunciation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ˈ<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>m<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ole<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>];</b><span class='feature_val'> (8.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> N<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ahu<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>atl<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> m<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ō<span class='feature_val'> (0.00)</span></span><span> Example 1491, token 11</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 2.92 and 5.84: 0.0103%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ital<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Kid<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> project<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> .<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pediatrics<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2003<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> ;</b><span class='feature_val'> (2.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 111<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span> Example 12438, token 109</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> .<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ped<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>iat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>r<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Neph<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rol<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2013<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> ;</b><span class='feature_val'> (3.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 28<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> :<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 8<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>75<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> –<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 8<span class='feature_val'> (0.00)</span></span><span> Example 12491, token 85</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> WI<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lot<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> #<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>419<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>,</b><span class='feature_val'> (3.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 40<span class='feature_val'> (0.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee6c7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (3.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> twice<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> daily<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (2.08)</span></span><span> Example 1159, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>results<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> g<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>mail<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (3.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> d<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>k<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>im<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>=<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>none<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span> Example 553, token 99</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>pro<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>d<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>out<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>look<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (4.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PR<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>;<span class='feature_val'> (2.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span> Example 3703, token 31</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>e<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>n<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>];</b><span class='feature_val'> (4.47)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Swedish<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.[<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>22<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> It<span class='feature_val'> (0.00)</span></span><span> Example 4087, token 6</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>BL<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PR<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>06<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>MB<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>17<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ac'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (4.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>v<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Y<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>86<span class='feature_val'> (0.00)</span></span><span> Example 652, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Scand<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> J<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rol<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Neph<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rol<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2004<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> ;</b><span class='feature_val'> (5.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 38<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> :<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 405<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> –<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 416<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 105<span class='feature_val'> (0.00)</span></span><span> Example 12112, token 44</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (5.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> vertical<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> line<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>sensitive<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (0.00)</span></span><span> Example 6362, token 97</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> University<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> California<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Press<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2001<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>);</b><span class='feature_val'> (5.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span> Example 2577, token 126</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 0.00 and 2.92: 99.9863%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Heat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [*]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> capacitor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Need<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 256<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> =&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 250<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> [*]</b><span class='feature_val'> (0.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> speed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Factor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 112<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span> Example 7050, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> al<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Kh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ā<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>n<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>j<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ī<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>,</b><span class='feature_val'> (0.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>284<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>This<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span> Example 4291, token 93</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Psych<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> claims<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> predictions<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (0.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> par<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aps<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>y<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ch<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ology<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span> Example 9789, token 86</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>cycl<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ode<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>xt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>M<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>CD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>);</b><span class='feature_val'> (1.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cells<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> six<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mice<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span> Example 3540, token 19</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lot<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> #<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>419<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef9f2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.71)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 267<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>,</b><span class='feature_val'> (1.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> three<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> times<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> daily<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> standardized<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span> Example 1329, token 86</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Box<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> billion<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (1.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> G<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ilt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> G<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rou<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>pe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 2514, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> remake<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mission<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Impossible<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> theme<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (2.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>South<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ampton<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 7483, token 98</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>formerly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> W<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IND<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mobile<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Corp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (2.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Group<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> students<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Huntington<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> University<span class='feature_val'> (0.00)</span></span><span> Example 9269, token 120</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> bone<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> disorder<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>;<span class='feature_val'> (2.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CV<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cardiovascular<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>;</b><span class='feature_val'> (2.69)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> FS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>GS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> focal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> segment<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>al<span class='feature_val'> (0.00)</span></span><span> Example 12752, token 107</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_activating_examples_dash(owt_tokens_torch[:128*100], scores, window_size=7)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e7ef8034-2b75-4292-93a2-3944200f3584\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Post-mortem\\n\",\n    \"\\n\",\n    \"**How'd we do?** Not bad. Top activations seem to corroborate the hypothesis. But the hypothesis missed the comma that comes before the year. How relevant is this to the feature firing?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 213,\n   \"id\": \"464dc260-8c0f-4432-b734-4b9ada21b659\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"7b6e9bc9af2e4c0faa3f6d9acef9d9e6\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    0.    4.855]]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"(Leisman, 1976;\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 214,\n   \"id\": \"ee2b6989-5059-42a5-990c-0c3f20db4c6b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"8ace8973d75d4e278b0d35aae12865e6\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    4.906]]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"(Leisman 1976;\\\"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"027a78da-a8ac-4f95-aec1-3253b7467f3b\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like the transcoders can't distinguish commas from no commas. What about the original model?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 215,\n   \"id\": \"adea4473-d80e-45b3-8435-5e6f13271344\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"747308ba42a3433d9b57fba758705ebf\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.     0.     0.     0.     0.    12.484]]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"(Leisman, 1976;\\\"\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 216,\n   \"id\": \"266190c1-5913-445b-bc0a-016744b46059\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"35b750dbba874538847771404932a0e3\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.    0.    0.    0.   12.13]]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"test_prompt = \\\"(Leisman 1976;\\\"\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(test_prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"12d08e52-b236-467f-88eb-3930b01972cb\",\n   \"metadata\": {},\n   \"source\": [\n    \"Nice, just about no difference! Note that this demonstrates how reverse-engineering can be used to yield less-ambiguous hypotheses. The original hypothesis formed by doing reverse-engineering didn't involve any commas, but looking at the top-activating examples suggested that commas would be important. Nevertheless, it turned out that the reverse-engineering hypothesis was correct upon further investigation -- whereas if we had neglected to do reverse-engineering, we might just think that the comma was an important part of the feature without testing it.\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "case_study_local_context.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"85b8a651-baa3-4772-85ec-a3bb10d1851a\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Super-blind case study: local context feature\\n\",\n    \"\\n\",\n    \"Here is an example of a blind case study in which our hypothesis obtained by performing circuit analysis with transcoders ended up being way off-base. We're including it with our other case studies in the interest of academic transparency, and because we think it might be useful as an instructive tool for understanding how *not* to jump to conclusions when performing circuit analysis.\\n\",\n    \"\\n\",\n    \"Do note, however, that this case study was carried out under a harder \\\"ruleset\\\", so to speak. In normal blind case studies, you're not allowed to look at the input tokens in the maximum-activating examples for a given feature. But a super-blind case study goes further: you're not even allowed to look at which MLP0 transcoder features are active on the maximum-activating examples. (The reasoning: MLP0 is somewhat used as an \\\"extended token embedding\\\" in GPT2-small, and as such, looking at which MLP0 features are active can be viewed as revealing too much information about the original input.)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9b0845aa-18c6-4bb5-88be-6d8181fdac8d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"fe44ab3a-14ff-4ec5-b3f8-070a7ad3d21a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b112aadf-0e92-440e-80a0-a3217751a81d\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load model\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"1845441e-479b-43f9-9bfa-b03636741045\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"e9996a62-57c5-48a4-a980-b378a00d39fd\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"model = HookedTransformer.from_pretrained('gpt2')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bd405cee-8f23-4a85-bf74-b3dd547fb6d1\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"## Loading data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"529c4b1b-d53e-4101-bed1-f5dc474d09cc\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ceaa36a0-7f48-4578-8096-2a7d1b0a52cf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Token indices sequence length is longer than the specified maximum sequence length for this model (73252 > 1024). Running this sequence through the model will result in indexing errors\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"e0f0c9b6-b9c4-49a6-9010-1da084394d4b\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"80d2b740-685d-48ce-9447-82fd95eaef9d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Load transcoders\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"c41039eb-f23a-4f50-9fa4-8c8d2acb7da0\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"transcoders = []\\n\",\n    \"sparsities = []\\n\",\n    \"for i in range(12):\\n\",\n    \"    transcoders.append(SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(i)}.pt\\\").eval())\\n\",\n    \"    sparsities.append(torch.load(f\\\"{transcoder_template.format(i)}_log_feature_sparsity.pt\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"e132f002-2a79-43c1-be56-9d99bd6306f3\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1e994b6a-441d-415f-9f22-0304d77c65c2\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Load transcoder 8 feature frequency info\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"184024c2-34c4-4665-8682-143504a0083a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"live_features = np.arange(len(sparsities[8]))[utils.to_numpy(sparsities[8] > -4)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e182ec76-ab67-44c4-97e4-e93c91fd3dd2\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Super-blind case study: `live_features[400]`\\n\",\n    \"\\n\",\n    \"In a blind feature case study, we try to begin by reverse-engineering a transcoder feature without looking at the top-activating examples. We then form a hypothesis about what the transcoder feature is computing, and only after having done so do we look at the top-activating examples to see if our hypothesis is supported. For other examples of blind case studies, see the notebooks `case_study_citations.ipynb` and `case_study_caught.ipynb`.\\n\",\n    \"\\n\",\n    \"But this time, we'll play using an even tougher restriction: *no looking at the de-embeddings for computational paths ending in an MLP0 transcoder!* You see, GPT-2 is thought to use MLP0 as an \\\"extended token embedding\\\" -- meaning that many MLP0 transcoder features are single-token. As such, if we see that a certain MLP0 transcoder feature fires on a given token, and then look at the de-embedding of that feature, we'll then be able to have a much better idea what the original token in the prompt was. This gives a lot of information, which is somewhat antithetical to the spirit of blind case studies.\\n\",\n    \"\\n\",\n    \"What is acceptable under this harder ruleset, however, is to take the input-independent pullbacks of a later-layer transcoder feature onto the MLP0 transcoder, and then look at the de-embeddings for those features. This way, we're not certain about what MLP0 transcoder is causing the later-layer transcoder feature to fire *on this input* -- but we can still get an idea.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 217,\n   \"id\": \"9c275210-34cc-44e7-88f8-aa9c12d58237\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[479]@-1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[400]\\n\",\n    \"my_feature = make_sae_feature_vector(transcoders[8], feature_idx, use_encoder=True, token=-1)\\n\",\n    \"print(my_feature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 218,\n   \"id\": \"8be014d0-7962-4680-8159-4859b765326f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"cb1e8c6cbeea4b82a6c45709683588e7\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"  0%|          | 0/100 [00:00<?, ?it/s]\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch[:128*100], feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"uniform_samples = sample_uniform(scores, num_samples=50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 219,\n   \"id\": \"9c45e12d-70e0-4f13-997a-d46dbd439d8b\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[ 0.      0.2537  0.5073  0.761   1.015   1.269   1.522   1.775   2.03\\n\",\n      \"  2.283   2.537   2.791   3.045   3.297   3.55    3.805   4.06    4.312\\n\",\n      \"  4.566   4.82    5.074   5.33    5.582   5.836   6.09    6.34    6.598\\n\",\n      \"  6.848   7.1     7.355   7.605   7.86    8.12    8.37    8.62    8.875\\n\",\n      \"  9.14    9.35    9.64    9.89   10.12   10.414  10.664  10.92   11.26\\n\",\n      \" 11.336  11.67   11.93   12.     12.43  ]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"uniform_scores, uniform_idxs = uniform_samples[0], uniform_samples[1]\\n\",\n    \"print(uniform_scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 221,\n   \"id\": \"5312a057-b06c-4dcf-bc75-537ec9522641\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2979, 46\\n\",\n      \"2227, 53\\n\",\n      \"7589, 89\\n\",\n      \"668, 122\\n\",\n      \"3511, 64\\n\",\n      \"6798, 102\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"threshold = 10\\n\",\n    \"uniform_idxs = uniform_idxs[uniform_scores>threshold]\\n\",\n    \"uniform_scores = uniform_scores[uniform_scores>threshold]\\n\",\n    \"for x in uniform_idxs: print(f'{x[0]}, {x[1]}')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b2eb2876-2810-407d-9192-b9d811a58e81\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 3511, 64\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 225,\n   \"id\": \"cef8494e-0272-44b5-b082-6d2b3c8125cc\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[3511,: 64+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 228,\n   \"id\": \"09151195-6d1d-4020-9fa7-3e684f978061\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1\\n\",\n      \"Path [0][1]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3\\n\",\n      \"Path [0][2]: mlp8tc[479]@-1 <- attn8[5]@63: 3.7\\n\",\n      \"Path [0][3]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6\\n\",\n      \"Path [0][4]: mlp8tc[479]@-1 <- attn6[11]@57: 3.5\\n\",\n      \"Path [0][5]: mlp8tc[479]@-1 <- attn7[8]@60: 3.0\\n\",\n      \"Path [0][6]: mlp8tc[479]@-1 <- attn7[5]@57: 2.8\\n\",\n      \"Path [0][7]: mlp8tc[479]@-1 <- attn4[3]@60: 2.6\\n\",\n      \"Path [0][8]: mlp8tc[479]@-1 <- attn6[11]@62: 2.6\\n\",\n      \"Path [0][9]: mlp8tc[479]@-1 <- attn4[9]@62: 2.0\\n\",\n      \"Path [0][10]: mlp8tc[479]@-1 <- attn8[5]@57: 2.0\\n\",\n      \"Path [0][11]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9\\n\",\n      \"Path [0][12]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8\\n\",\n      \"Path [0][13]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6\\n\",\n      \"Path [0][14]: mlp8tc[479]@-1 <- mlp7tc[4327]@-1: 1.6\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[479]@-1 <- attn6[11]@57: 3.5 <- mlp0tc[17715]@57: 0.94\\n\",\n      \"Path [1][1]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp0tc[22324]@62: 0.94\\n\",\n      \"Path [1][2]: mlp8tc[479]@-1 <- attn4[3]@60: 2.6 <- mlp0tc[6597]@60: 0.86\\n\",\n      \"Path [1][3]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3 <- mlp0tc[22324]@62: 0.79\\n\",\n      \"Path [1][4]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1 <- mlp7tc[10719]@62: 0.72\\n\",\n      \"Path [1][5]: mlp8tc[479]@-1 <- attn4[9]@62: 2.0 <- mlp0tc[22324]@62: 0.69\\n\",\n      \"Path [1][6]: mlp8tc[479]@-1 <- attn7[5]@57: 2.8 <- mlp0tc[17715]@57: 0.61\\n\",\n      \"Path [1][7]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn2[4]@62: 0.54\\n\",\n      \"Path [1][8]: mlp8tc[479]@-1 <- attn6[11]@62: 2.6 <- mlp0tc[22324]@62: 0.54\\n\",\n      \"Path [1][9]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn3[9]@62: 0.53\\n\",\n      \"Path [1][10]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp3tc[16112]@62: 0.43\\n\",\n      \"Path [1][11]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn7[5]@57: 0.39\\n\",\n      \"Path [1][12]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37\\n\",\n      \"Path [1][13]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn6[11]@57: 0.35\\n\",\n      \"Path [1][14]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37\\n\",\n      \"Path [2][1]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33 <- mlp0tc[22324]@62: 0.33\\n\",\n      \"Path [2][2]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp0tc[22324]@62: 0.94 <- embed0@62: 0.32\\n\",\n      \"Path [2][3]: mlp8tc[479]@-1 <- attn6[11]@57: 3.5 <- mlp0tc[17715]@57: 0.94 <- attn0[4]@57: 0.32\\n\",\n      \"Path [2][4]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp0tc[22324]@62: 0.94 <- attn0[3]@62: 0.32\\n\",\n      \"Path [2][5]: mlp8tc[479]@-1 <- attn4[3]@60: 2.6 <- mlp0tc[6597]@60: 0.86 <- attn0[4]@60: 0.31\\n\",\n      \"Path [2][6]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp0tc[22324]@62: 0.94 <- attn0[1]@62: 0.29\\n\",\n      \"Path [2][7]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1 <- mlp7tc[10719]@62: 0.72 <- mlp0tc[22324]@62: 0.29\\n\",\n      \"Path [2][8]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn2[4]@62: 0.54 <- mlp0tc[22324]@62: 0.28\\n\",\n      \"Path [2][9]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn3[9]@62: 0.53 <- mlp0tc[22324]@62: 0.28\\n\",\n      \"Path [2][10]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp3tc[16112]@62: 0.43 <- mlp0tc[22324]@62: 0.28\\n\",\n      \"Path [2][11]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3 <- mlp0tc[22324]@62: 0.79 <- embed0@62: 0.27\\n\",\n      \"Path [2][12]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3 <- mlp0tc[22324]@62: 0.79 <- attn0[3]@62: 0.27\\n\",\n      \"Path [2][13]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp0tc[22324]@62: 0.94 <- attn0[4]@62: 0.26\\n\",\n      \"Path [2][14]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3 <- mlp0tc[22324]@62: 0.79 <- attn0[1]@62: 0.25\\n\",\n      \"--- Paths of size 5 ---\\n\",\n      \"Path [3][0]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37 <- embed0@62: 0.16\\n\",\n      \"Path [3][1]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37 <- attn0[3]@62: 0.16\\n\",\n      \"Path [3][2]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37 <- attn0[1]@62: 0.14\\n\",\n      \"Path [3][3]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37 <- attn0[4]@62: 0.13\\n\",\n      \"Path [3][4]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33 <- mlp0tc[22324]@62: 0.33 <- embed0@62: 0.12\\n\",\n      \"Path [3][5]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33 <- mlp0tc[22324]@62: 0.33 <- attn0[3]@62: 0.12\\n\",\n      \"Path [3][6]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37 <- mlp0tc[22324]@62: 0.37 <- attn0[5]@62: 0.12\\n\",\n      \"Path [3][7]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33 <- mlp0tc[22324]@62: 0.33 <- attn0[1]@62: 0.11\\n\",\n      \"Path [3][8]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1 <- mlp7tc[10719]@62: 0.72 <- mlp0tc[22324]@62: 0.29 <- embed0@62: 0.099\\n\",\n      \"Path [3][9]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn2[4]@62: 0.54 <- mlp0tc[22324]@62: 0.28 <- embed0@62: 0.099\\n\",\n      \"Path [3][10]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1 <- mlp7tc[10719]@62: 0.72 <- mlp0tc[22324]@62: 0.29 <- attn0[3]@62: 0.098\\n\",\n      \"Path [3][11]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn2[4]@62: 0.54 <- mlp0tc[22324]@62: 0.28 <- attn0[3]@62: 0.098\\n\",\n      \"Path [3][12]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn3[9]@62: 0.53 <- mlp0tc[22324]@62: 0.28 <- embed0@62: 0.098\\n\",\n      \"Path [3][13]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33 <- mlp0tc[22324]@62: 0.33 <- attn0[4]@62: 0.097\\n\",\n      \"Path [3][14]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp3tc[16112]@62: 0.43 <- mlp0tc[22324]@62: 0.28 <- embed0@62: 0.097\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a82a6bb7-416a-4b7f-a40d-70297af62060\",\n   \"metadata\": {},\n   \"source\": [\n    \"Lots of mlp0tc features, but we won't look at them. Instead, we'll filter out paths ending in layer0.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 229,\n   \"id\": \"92f677e2-a689-43ae-80f2-c02e641d702b\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn8[4]@62: 4.3\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn8[5]@63: 3.7\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn6[11]@57: 3.5\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn7[8]@60: 3.0\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- attn7[5]@57: 2.8\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn4[3]@60: 2.6\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn6[11]@62: 2.6\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn4[9]@62: 2.0\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- attn8[5]@57: 2.0\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- mlp7tc[4327]@-1: 1.6\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn8[5]@62: 8.1 <- mlp7tc[10719]@62: 0.72\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn2[4]@62: 0.54\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- attn3[9]@62: 0.53\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp3tc[16112]@62: 0.43\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn7[5]@57: 0.39\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- attn7[9]@62: 3.6 <- mlp1tc[5224]@62: 0.37\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn6[11]@57: 0.35\\n\",\n      \"Path [22]: mlp8tc[479]@-1 <- attn3[11]@62: 1.8 <- mlp2tc[11150]@62: 0.33\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"182b6ad1-2773-4838-9d78-31c4ee153cdf\",\n   \"metadata\": {},\n   \"source\": [\n    \"Huh: most of the contributions are coming from the previous tokens.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3ae57ef8-f1fd-4164-943c-67b437f16911\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, let's look at mlp7tc[10719].\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 230,\n   \"id\": \"7a2dba60-fcc2-4a3a-8d39-75e57ca098d8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa0a0'>6080</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>22324</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.013</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa2a2'>597</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>2523</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.012</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa4a4'>24206</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>23485</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.012</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa4a4'>6956</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9f9fff'>1898</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>18160</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a0a0ff'>12610</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>362</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>16119</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>13373</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>10641</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[15][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 231,\n   \"id\": \"fb30b1c9-1290-443b-a0a3-c63ec3cba136\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>matter</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.469</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.297</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>lear</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.198</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;Estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.829</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>faces</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b1b1ff'>&nbsp;rumored</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.290</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>&nbsp;counsel</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.954</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b1b1ff'>&nbsp;projected</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.243</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>&nbsp;academ</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.952</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b4b4ff'>&nbsp;untold</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.941</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 22324, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 232,\n   \"id\": \"e4f87f2f-9d5b-4f12-bd7b-26af96c95c01\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>ogs</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.904</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;estimate</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.688</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>yr</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.520</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9c9cff'>imate</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.536</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>oor</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.459</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;estimates</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.986</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>&nbsp;Topics</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.385</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>imates</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.899</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>&nbsp;consequences</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.371</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>&nbsp;estimation</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.887</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 2523, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ebb5e89f-9cac-4602-b7f7-eb396608f697\",\n   \"metadata\": {},\n   \"source\": [\n    \"Okay, \\\"estimated\\\". Next, let's look at\\n\",\n    \"\\n\",\n    \"``Path [19]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn7[5]@57: 0.39``\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 233,\n   \"id\": \"0b7f3c45-87c7-4b8d-9395-e7861b6243a2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8a8a'>16836</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.008</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>23855</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>13116</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>8917</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>10823</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>327</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8d8d'>14147</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>16151</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8f8f'>7792</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>4858</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9191'>22912</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>16119</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9393'>12463</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>6555</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[19][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 234,\n   \"id\": \"5e207c97-cba3-4fe2-9cbc-9d08eff143e5\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>Medium</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.279</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;spree</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.616</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc2c2'>cause</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.367</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8181ff'>&nbsp;havoc</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.416</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc3c3'>lder</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.294</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>&nbsp;frenzy</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.304</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc3c3'>Present</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.242</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;mayhem</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.422</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc3c3'>UV</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.219</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>&nbsp;rampage</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.270</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 23855, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 235,\n   \"id\": \"67ea18f2-2be5-4e25-93cf-1951f521f932\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd4d4'>venth</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.148</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;amounts</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.736</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd4d4'>Capture</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.148</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;quantities</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.311</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd4d4'>&nbsp;closure</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.099</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a6a6ff'>amount</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.758</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd5d5'>outer</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.028</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a6a6ff'>&nbsp;amounted</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.725</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd5d5'>&nbsp;oldest</span></td>\\n\",\n       \"    <td style='text-align:right'>-1.988</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #acacff'>&nbsp;sums</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.106</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 8917, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 236,\n   \"id\": \"447f7e7d-7265-4cf8-a53a-809796a54c4d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>safety</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.373</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>massive</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.145</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>saf</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.369</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>&nbsp;massive</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.866</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>bees</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.290</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>&nbsp;huge</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.735</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>resp</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.275</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>&nbsp;Massive</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.727</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>&nbsp;judgment</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.240</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>&nbsp;enormous</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.527</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 327, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"be42e96f-eb15-4574-a0d2-e04a3cfa198a\",\n   \"metadata\": {},\n   \"source\": [\n    \"Dunno what to make of this. What about `Path [21]: mlp8tc[479]@-1 <- attn8[5]@58: 1.9 <- attn6[11]@57: 0.35`?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 237,\n   \"id\": \"c01273e8-ecb7-4b3a-8930-d60a46e69ecc\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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8/euCBB+iLL75g5L3pppuISN4hlZqaSlFRUZSTk0O7d+8mIqKWlha66667qEuXLjR06FCaPn26urU6IyODrrvuOjW+48eP02233Ua9e/emkSNH0qhRo+iZZ54hURQZuQDQH/7wB5o7dy6NHTuWOnfuTPn5+bRjxw5TGt555x0aNWoUZWVl0ahRo+jyyy9n6NpaJjt27KD8/HxKS0uj0aNH069//WuaO3cuAaCcnBz6z3/+o9J+9dVXdM4551CfPn1o9OjRNH36dFqzZo36/qmnnmLy969//SsVFRVRTk4ORUVFUWpqKk2cOFGlX79+PQ0dOpSGDRtGo0aNog0bNliWHRFReXk53X777ZSRkUEjR46k8ePHq8cK6PHyyy/T0KFDaeDAgZSRkUG33347lZeXn5Cc48aNY+rBoUOH6MUXX2S+V7aaE8m7qi644ALq1asXjR49miZPnkxLliwxyfj111/T5MmTqW/fvjRy5Ei69tprqaSkhKFZsmQJZWdn08iRI2nixIl08OBBeuWVV2jIkCFqfVPqKxHRwYMH6ZprrqGMjAzq168fjRo1ijmOobq6mnJycighIYESEhIoJyeHmpub6aGHHmLqzMKFC6mqqooefPBBGjlyJOXm5tLIkSNp0qRJ9NlnnzEy3nrrrdSzZ086fvx42LKzYaMjIRDp1hNs2DhD0LdvX0ydOvVHcdFoR0IQBMybN089CNKGDRs2bFjDXg6zYcOGDRs2bJyVsJUgGzZs2LBhw8ZZCVsJsnFGQbkLSX9XlN/v/6HF+sGh3B0GyI6vM2bM+GEFsmHDho0zALZPkA0bNmzYsGHjrIRtCbJhw4YNGzZsnJWwlSAbNmzYsGHDxlmJH1QJevbZZzF06FAIgnDab3UuLi6GIAjo06cPcnNz8eSTT1rSzp0795SmKS8vD7m5uUhMTGQOHzvT0JY8tsK2bduQm5uL3NxcCIJwRm8Vf+uttyAIAoYOHYrc3Fx8/vnnJpr169ejf//+rZa7KIqYP38+YmJiLOvl5ZdfjtzcXHTu3PmkXgtho3W89dZbGD58OHJycjBgwAC88sorP7RINiLE+vXrkZubi+joaNx2222nNO7PPvsMo0aNwsiRI9G/f3/8/ve/P6Xxn5H4YY8pIioqKiIAtGDBghPmsXbtWpo5cyYNHTqURowYQTk5OfTiiy9SMBhk6BYsWHDC8UQq58GDByk6OppLW1RUpB6UZvyXlpZGI0aMYOgPHDhA1113HfXt25cGDhxIw4YNo1dffdUy7vz8fMrPzz+htM2bN4+KiopM7z755BP629/+1maeRkRSRuHyeOXKlZSamsrNu0OHDnHjBEDz5s1rs6wrV660/O5vf/sbffLJJ23maYTP56P58+dTXl4e5ebmUmZmJk2YMIHeeecdlWbBggUEgFsuPp+P5s6dSwMGDKCUlJSw5X7w4EGaOHEijRo1KqI6PHv2bMrMzLR8f/jwYXrsscdoypQpNHToUMrLy6MLLriAXnzxRaqtreV+E2n5tbWNtAVer5cefvhhGjhwII0YMYLy8vLo008/jejbkpISevjhhykvL49Gjx5NQ4YMoZEjR9KLL75IkiQxtPPmzaOMjAyT/PqDOcNhy5YtJAiCepjghx9+SLNnz25TWk81wrWZsxXKga6nCmVlZRQfH6+OEZs2bTqh8aA1tGccPR1xxitB69evJ6fTSXPmzFFPz12/fj3FxMTQvffey9CeqJLQFjkvueQSuuKKKyyVIKvBZcSIEfT000+rzwcPHqROnTrRtddeSz6fj4hkRSI2NpaeeOIJLo8TTd/KlSsJAK1cudL0rrUBMRJEWkatKUFt7VBOVAmaN28eWc0POqJjCwQCdP7559ONN95IHo+HiOTTtC+88EK68847VbpwStDixYvpZz/7GXk8HsrMzAxb7nfccQe99957ajmfqBIUDAbpoYceou7du9Pzzz/PyFVVVUVvvPEG5eXl0UcffWT6NtLya0sbaSuuv/56Gjx4MFVVVRGRfIqy0+k0nVzMw4IFCygxMZE5iXrx4sXkcDjoqaeeYmjnzZvXrkHihRdeIADU0tJCRESSJJHX6z1hfqcC4drM2YpTrQQtXryYANDevXvVsObm5g6Ppz3j6OmIM94n6N1334UoivjDH/4Ah0NOzsSJE3HBBRec8iW2zz//HIWFhfjtb3/Lfd+1a1e88MILpvD169fjwIEDuOOOO9SwP/3pT6ivr8ff/vY3REdHAwAmT56MG2+8EX/6059QUVFxUtJwMnA6ldHpgFdffRVbt27Fm2++icTERABAXFwcXnvtNfzqV7+KiMcll1yCN954Q/0+HF5//XVcf/317ZKZiHDDDTdg7dq12Lp1K+677z5myaxLly742c9+hjVr1mDRokUndAkr0LY20hasWbMG77//Ph5//HH19vXLL78cM2bMwN13381cxMtD9+7d8cADDzB3m11xxRUYPnz4CafVCnV1dQCA2NhYAPIp4DExMR0ah40fH4z1BpD7FRvh0S4laP/+/YwvynvvvYf8/Hz07NkTl1xyCSorK3Ho0CFceeWV6N+/P0aPHs298VgP5RyY6OhozJ49G48//jjGjRuH9PR05OXlYfXq1Qy9cplfIBBgwv1+v6o8eDwe5ObmoqCgAAUFBarPyF/+8heV/tChQ7juuuvQp08f5OTkICcnBw888ACKiooiygu/3497770XL7zwgulCSwUJCQm48sorTeGvv/46rrnmGrVzBoANGzYgLS0NvXr1YmhzcnLg9/vVW5jDoaioCD/72c+Qk5OD0aNHIycnB3PmzIHb7VZpnn32Wfz0pz8FAPz0pz9V86a+vh5TpkzB0qVLUVZWpobffffdpnJ///33kZ+fj4yMDOTn5+PAgQOMHJGU0anAqlWrcOWVV2LUqFHIzc3F6NGj8fe//525qfv666/HP/7xDwBQ03zNNdeoadafT5Sbm4tFixapZ/QIgoDHHnsM8+bNw4QJE9CrVy/MmjULHo+HkeO1117DjBkzEB8fz4T37dsXY8aMiSgtVnWsvbRW+Nvf/oYNGzbgk08+Qffu3U3vRVFEeXk5oqOj8cEHH+CFF144oRvB29JG2oL3338fADB9+nQmfMaMGTh8+DA2b94c9vsLL7wQ8+bNM4V7PB507dr1hGTiYcqUKab699///hfXX389+vTpA0EQsGbNGlx99dVqndNf5vrqq69i+PDhGDRoEDIzM3HnnXcyE6Y5c+agf//+EAQBH3/8MWbNmoXhw4ejb9++6oW2zz33HCZOnIjevXvj3nvvVS9RtYJVm1H6XcXHbNWqVZg2bZoa/+LFi+H1evHII49gzJgxGDNmDEaOHImrr74ahw8fVvm3tb/ZtGkTZsyYgdzcXIwaNQrnnHMOnn32WYamsbERc+bMQVZWFkaMGIHhw4dj1qxZ+Pbbbxm6999/H2PGjMGAAQPQp08fXHvttTh06JApD/7+978jOzsb/fr1w5QpU/DVV19x8yoQCOCxxx5D//79MWTIEAwcOBB//OMfIYoiAESUZ1Zl8NhjjwEALr74YuTm5uKll15S37/99tvIycnBwIED0bdvX9x5552orq5meLz55ps499xzVR/TKVOm4JtvvlHfhxtHFyxYYPLvbWlp4fqqGuvg7NmzkZeXh6ioKKbtRyLzO++8g7y8PIwePRojR47EpZdeaplHlugIc1J+fj5169aNnn/+eSIiamhooOzsbLr00kvpd7/7HQUCAZIkia6++mrq169fRH4gmZmZFB8fTy+++CIREYmiSHfccQfFxsbSgQMHVLrS0lLKyMigW2+9lZqamohINgs6nU6T6dzKjFdcXExpaWl06623UiAQICKinTt3UqdOnVR/mNaWw/7yl7/QFVdcQUQU8bIDEVFtbS3FxcXRunXrmPChQ4dSp06dTPQvvvgiAaD77rvP9M6YvnfffZfOPfdcamxsJCKixsZGuuqqq+gnP/kJ892JLocp5a5c+uj1emnChAk0ZcoUhi7SMmptOWzSpEn0k5/8hEaOHEkDBgyg66+/njZt2sSVjci8HPaLX/yCHnjgAXVJrrS0lPr160cvvfQS892JLochdBGlconrkSNHKDk5mR599FGVprKykgDQ7373O3r66acpLy+PBg4cSPn5+fTee+8x/MIthxllisQ8faLLYW63m1JTU+m1115Tw7788kuaNm0aDRs2jK644gr6/PPPGVnfffdd+utf/8rE3dbyU2DVRoiI6urq1DoVDpMmTaLk5GRT+EcffUQA6J///GerPPRwu900d+5c6tatG23evJl5N2/ePLr++utp6tSpNGzYMBo+fDjdddddVFZWFhFvq/qn1IcZM2aol7jOmzeP7rnnHiIiuv/++yk5OZm+//57IiLyeDw0depU6t+/P9XX16t8lHowefJk9bLSV155hQRBoLlz59K3335LRERbt24lQRAi6sfCtZnZs2dTUlIS/exnP1PHgvPOO48++eQTOn78OHXt2lX1C5Mkif7yl79Qnz591H5LQST9jcfjoc6dO9O//vUvNUwpYwV+v58mTpxIOTk5VFlZSURENTU1NH78eLUPJ5Ivz3W5XLR06VL1uxtvvJG6dOlCxcXFKt3ChQsJAP373/9W6W677TZKTEw09RXXXHMNde/enQ4ePEhEst9n9+7d6Ze//GXEeWYFq/5CKVslHR6Ph84991zKyclRXS2IiAYPHqzSEMn1JD4+nrZu3crwsxpHrfpvHr1SB8eMGaOO5wsWLFDzPxKZ161bR9HR0eryXzAYpHvvvbfNS3UdpgR17tyZ/H6/Gvbb3/6WAFBBQYEa9sEHHxAAtQIQhVeC+vfvzzgdVlVVUXR0NM2aNYuhPXz4ME2ZMoWio6Opa9eu1KVLF1q0aBFXTl4GzZ49m6Kjo1VfAQUPPvggvfzyy2HlJJId0rp06UKHDx8morYpQS+88ALX2fP2228nACan39tuu40A0E9/+tNW01dbW8vceE1E9L///Y8AqI1fL++JKEGpqalMQ3r66adJEAQmjCiyMgqXx+vWraO8vDzavHkzSZJEDQ0NdOedd5LL5aL//e9/XPmMSlBJSYlpwHzooYdo6NChTFh7lKBLLrmECbvoooto0qRJ6nNBQQEBoMTERLrtttuosbGRAoEAvfTSSwRAnUgQnT5K0AcffEBRUVHkdruJiGjFihUkCAItXLiQJEmiiooKOv/88xlZKysrmRvmT6T8FFi1EY/HQ6mpqTRw4MBW0z5gwADq3bu3Kfzrr78mAPTnP/+5VR4KhgwZQk6nk4YNG8ZVzJ5++mm64YYbqLS0lIiICgsLady4cdSjRw81LBxaU4L0zvNut5uOHz9Ohw8fJofDYfKD3Lx5s6kdKPXgueeeU8Oqq6sJAF166aXM90OHDqWbb775hGUmkusTAEYJPH78OLndbgoEAsx4QETU0tJCAOiDDz5gwiPpbzZt2kQATOXyyCOPqL+VfFyyZAlD8+mnn9K1115LRHK+JiYm0pVXXsnQlJeXU1RUlNoHSJJEmZmZlJeXx9AdOXKEADB9hZLvzzzzDEP75JNPkiAIjGIVLs+swOsv3G43JSUl0cUXX8zQrlmzhgAwfbDel0jB+PHj6de//jUT1pFKkL7dtbS0UElJScQyP/vss5ScnMz4PZWVlaljdqToMJ+g7OxsREVFqc+dO3cGAAwePFgNS0tLAwAcP348Ip4jRoyAIAjqc5cuXZCVlYX169erYRs2bMC4ceMwcuRI1NXVoaKiAv/5z39w11134eWXX44oni+//BJZWVkmU/szzzxj6d+jx+9+9zv8/Oc/R3Z2dkTx6fHGG29w/UAefvhhpKSk4Fe/+hVqampARPj000/VZbBI1nqTk5OxZMkS5OfnY/jw4cjNzVXTwzPpngiys7OZJa0uXbqAiBgTfEeU0TnnnINNmzZh9OjREAQBycnJ+Pvf/45u3boxywHhkJycjD/96U8YP348RowYgdzcXLz11lsdlhcAW98BOT/Ky8vV55aWFgCyn8fLL7+MhIQEuFwu3HXXXZg0aRIee+wxleZ0webNm5GRkaEuaz7//PMYP348br31VgiCgG7duqmmeAWJiYnMMmB7ys+qjURFRaFbt26mJeO2gEK+QPp+pjXs2bMHzc3NuO+++zBt2jTTUsvvfvc7vPvuu+jduzcAICsrC//3f/+H48eP409/+tMJy6pg+PDh6u+kpCR0794dX3/9NSRJwvjx4xna0aNHIyYmhrs8o6+rvP4akPvsSPvrcOjcuTN69OihPnfv3h1JSUlwuVwoKSnBZZddprbJCRMmAOD3Ua31N4MHD0bPnj1xxRVX4NFHH8X27dsBgMn3L7/8EgAY/y4AuPTSS/HBBx8AkH3QGhsbTfmZnp6OrKwsNT+PHj2KkpISjB07lqHLyMhAp06dmDAl3smTJzPhI0aMABFh1apVEeVZW7B+/Xp4PB5unACwYsUKNczhcOD222/HqFGjkJOTg9zcXOzatatD+0cj9HU5NjYWffr0iVjm/Px8NDc3Iy8vD6+88gqOHj2KHj16RDRm69FhSlBCQgLzrHQq+nDFKVZZ/2wNycnJprDOnTvj2LFj6vM999wDh8OBv/3tb4iPj4cgCJg5cyZuu+02zJkzh1lbtkJ1dbXaCbQV69evx6pVq/DII4+0+du1a9fiyJEjuOWWW0zvBgwYgA0bNqBr166YMGECcnJy8PHHH+M///kPAKBPnz6t8p83bx7uuusuPProo9i1axe2bduGN998EwDg8/naLC8PRsdcXhl3RBnxEB0djTFjxmD//v2ora0NS0tEuPzyy/HBBx/gnXfewc6dO7Ft2zb88pe/7NC7x3j5oc8LpRMbMGCAiTYvLw9NTU3YvXt3h8nTEaitrWX8gIqKikznCCkDvoLDhw8jMzMzLN9Iyi9cG4mJicG+ffuYjtwKXbp0YXzhFCiKWlt9jaKjo3HHHXfg1ltvxcMPP9xqHR42bBiSkpJMPicnAt5AqPhK8Pqxzp07o6qqyhSu75t5/TVgrr8nCqvB+6uvvsL555+PiRMnYtu2beo/gN9HtdbfJCYmYtOmTbjlllvw+uuvIzc3F4MGDVL7TSB8XkVCk5aWpuZnWVkZACA1NdVEl5KSwuV55513qv40ubm5eOSRR5Cenm6qn21VeMKl47XXXmPinDp1KtLT0+H1egHIhonJkyejvr4eq1evxvbt27Ft2zbk5eV12FjBQ7i63JrMY8eOxfr16zF8+HA8+OCDqo/Ypk2b2iRD+z0mTyIaGhpMYTU1NczMb/v27cjJyWGsUAAwaNAgiKKILVu2oF+/fmHj6dKlS6uDqBW++OILREVF4ZxzzlHDGhsbAQCPPfYYXnjhBZx77rmMk5qC119/HbfccotlZR80aBDefvttJkyxBBm1ZB4WLFiA888//we/TLMjyqi2thaJiYkmR2qn0wkArTpvHjp0CGvXrsWzzz7balwnEwMHDoTL5WKcsRUoDsyKdeJ0QWpqKtNB9+3b17RhoLS0lHn+xz/+gRtuuEF9PtHya62NRIrc3Fx89913qKmpUS3SAFBYWAhA3nAQDi0tLYiOjlbl1fM11uHy8nKu87jT6Wy1np4oFCWO14/V1taetodfLly4EAkJCXj44YfbZI0Lh549e+KFF17Ac889h6+++gpPPfUUZs2ahR49emD69OlMXvHKCQifnzU1NaozfM+ePS3p6uvruTzffffdVutbR0GJ8/7778c999xjSbds2TJUVVXh97//Pdf4EAmUtmHsvxobGyPaxaogUpkBWRF6//334fF48MEHH+Dxxx/HjBkzUFxczFVMeTitt8jv2rWLydDq6moUFRVh0qRJalh6ejqOHDliGlSKi4sBsDO8qKgolV9TUxOWLl0KAJg5cyaKiopMnudPPvkknn/++bAyPvnkkygsLGRmMYq15cknn8S2bdu4ClBtbS0++ugjyy3RNTU1pp1wALBkyRKMGjVKNRmHg8/nU2dKCnimbUU5UfJm8+bN6o4LfZ4Rkbqjoy1oSxlZ4Sc/+Qn++9//MmGiKGLbtm3o06cPunXrFvZ7ZTZzIvnx5Zdfqp2cPj+qqqqwfPnyVmXXIy4uDjNnzsShQ4fQ1NTEvNu+fTsSEhIwbNiwNvE82Rg1ahQOHDiA5uZmAMB9992HDRs2YOHChSAiVFVVqad7Nzc346mnnkJMTAymTZum8jiR8mutjQDyREmRKxyuu+46AGB2uyjP2dnZyMvLY+SqrKxk6C666CJ1qUSPkpISAGwd7tGjh2ohUFBYWIj6+nomno7E+eefD4fDgQ0bNjDhW7duhc/nw8yZM09KvArCtZlwUPoovQLUnuW3nTt3qktfLpcLF198sTpxVJbGlLww7lT+7LPPcNNNNwEAJk2ahMTERFN+VlZWoqioSOXRu3dvZGZmmqwPpaWlpkm88s3WrVuZcFEUcfPNN2P//v0nlugwUNJhjBMAnnrqKfV4h7b2j7xxND09HYIgMOXu9/vbbOmPVOZ33nlHjTspKQl33nknXnzxRbjd7oh3dQOnuRLkdrtVnxFJkjB37lw4HA48+uijKs19992H48eP449//KNaMFu2bMEbb7yBMWPG4Nxzz1Vps7KycOzYMRAR1q1bp/oiPP7440hKSsL999+vztQKCgrw6quvnrTO46233lK39fGwd+9eXHrppczSyDvvvIPFixerW1lbw2WXXYavv/4aBQUFAORzJHhKXd++fSEIAo4ePQoAuOuuu/D9998DkPOsuroaPp8PBw4cwA033GCaDbeGtpRRODzzzDPq4CJJEv7whz+guLgY8+fPb/XbwYMHY8CAAXjzzTfVAW7Xrl147733TLRZWVkA5PX+hoYGXHXVVap1LysrS82njz/+GH/+858jkl2P+fPng4jwyCOPqIrhhx9+iG+++QZPPvmkaev8D42LLroIMTEx+OSTTwDI28w/++wz9WqHO+64Aw8++CCys7Px+OOPY8SIEdx61tbya62NNDY2Ijs7O6JjBaZOnYprrrkGjz/+uDrZWbZsGb7++mu88MILzCD861//Gj169GB8DwG53BSlBwBWr16Nv//97xg3bpypDj/88MOqb1dDQwN++ctfIikp6YSWzSNBdnY25syZgwULFqgDclNTEx544AH0798/Yr+5E0W4NhMOl112Gdxut3otiCiK3KMIIkVNTQ2ef/557NmzRw1buXIlXC6Xuk375ptvxsSJE/HYY4+py1qVlZV4+OGHVat5UlIS5s+fj2XLlqnX1QSDQdx3331ITk5Wr+MRBAFPPvkkNm/erC65BQIBzJ07lzmvB9Dq4B//+EdVMQgGg3jsscdw6NAhDBw48ITTbQUlHe+++67qkwQAS5cuxSuvvKL6RV1wwQWIiYnBc889px5lsmjRItPxA4D1OBodHY1JkyZhyZIlqovBX//61zYfgxKpzAcOHMD8+fPV85EkScKaNWvQs2dPDB06NPII2+RGbUB1dTXl5ORQQkICJSQkUE5ODrndbrruuusoPT2dAFBOTg6tWLGCnnnmGerXrx8BoH79+tETTzxBzzzzDA0ZMkTdWnzTTTepvJVdOM8//zyNHz+e0tPTafTo0er2Yz0++ugjmjJlCg0aNIiGDx9Ow4YNo0ceeYTq6uoYuv3799PYsWNp8ODBNHz4cFq2bJn67uDBg3TNNddQ7969KScnh84991xas2aN+j6SE6N3795NOTk5ajqVo/O//vprE+2gQYPULZU8FBcX0xVXXEEZGRk0fPhwGjlyJN18882mnRR6GL3wGxoa6Gc/+xn17NmTRo8eTTNnzqTHH39cLQP9Sbfz5s2jPn360PDhw+maa65RT6itqKig8847j/r3709Dhgyhf/3rX9xyb25upoceeogyMjIIAA0ZMoQWLlyo8o+kjMLl8bfffks//elPadiwYTRixAjq1asXTZ06NexpvzDsitm3bx/NnDmT0tPT6ZxzzqEbbriBbr31VrWefvHFF0Qk71K48sorKSsri4YMGcLk0/r162no0KE0bNgwGjVqFG3YsIG++OILysnJIQCUnp6u1uPp06dTamqqeg3E7t27VT5btmyhmTNnUkZGBvXv35/y8vLo7bffZuRvbXfYmDFjKCcnh6KiotRyuOiii0x0n332Gbde6re868HbEfjHP/6RsrOzqaGhwTK/w+FEyq+1NuL1emnQoEF03nnnRSRDS0sLPfTQQ+q1GaNHjzbtECIievTRR6lz5860c+dOS/mzs7Np8ODBNHfuXFOevPPOO3TFFVeo9aR379503XXX0Z49e1qVcfLkyUzfqVy18etf/5ppW5dddhn3+5dffpmGDh1KAwcOpIyMDLr99tuZHaJPPfUU0w8/88wztGLFCqb+XnfddeR2u01tvKKiImze8trMuHHjmDbAO+3+2WefpezsbPWoiNdee02V5corr2xTf1NVVUUPPvggjRw5knJzc2nkyJE0adIkUz1zu9107733UmZmJg0fPpxGjRrFPSbh3XffpdGjR1O/fv2od+/edM0113D74L///e/Ut29fysrKonHjxtEHH3xAmZmZ6lUxyq4uv99P8+bNo379+tGQIUMoJyeHfvWrX1FNTY3KK5I8M+K6665j8kLJIwXvvPMOjRo1irKysmjUqFF0+eWX044dOxgen3/+OY0aNYp69epF+fn5dP/991NeXp6a59XV1UQUfhzdu3cvTZkyhTIyMmjKlCn07rvvUn5+vsrj0KFDpjo4ZswYbppak3nbtm00e/ZsNb3Dhg2jq666KqJ2podAdJo5IITQt29fTJ069bQ5Ubi4uBhZWVlYsGDBKb8UL1IoMx3jLoMzBR2dx4IgYN68eWfsJapvvfUWbr/9dq4j8snEbbfdhlWrVqnLlYA8Q7/88svhdruxdOlSy/X20tJSZGRknCJJbdiwYaN9OK2Xw04nOJ1OpKenY/78+Sd8w/nJgnLCZ2Fh4Qnvcjsd0BF5rL9FPj09vU0Oeacb4uLikJ6ejssuu8zyFvmOhHKL/OrVq02nIDudTixevBg5OTkYMWIEXnrpJXVZEACOHTuGp556CjfccENEPjo2bNiwcTrAtgTZsGGjTdizZw/eeustrFmzBg0NDUhMTESvXr3wk5/8BDfeeKNpF6ANGzZsnK447ZSglStXYs6cOdizZw8SExPRp08fbNy48ZTeMWXDhg0bNmzY+PHjtFOCbNiwYcOGDRs2TgVsnyAbNmzYsGHDxlkJWwmyYcOGDRs2bJyVOK2vzfgxQ5IklJWVISkpqcOOi7dhw4YNG2cWiAgejwc9e/Y0ndhs4+TDVoJ+IJSVldnnqdiwYcOGDQDyGVvGi4htnHzYStAPBOVCyNLS0hO+sM6GDRs2bJzZcLvdyMjI6JBb4220HbYS9ANBWQJLTk62lSAbNmzYOMthu0X8MLAXIG3YsGHDhg0bZyVsJciGDRs2bNiwcVbCXg6zYcPGKUdVFWHvXiAQALp2BYYMAaKiwi8HlJUBO3cCzc1Ap05Abi5gcY+rDRs2bEQEWwmyYcPGKYPfT/jkE2DvXkAQ5H+SBMTGAlddRRg0yKwIBYPAxx8De/YAyg5iImD1amDKFGDaNJmPDRs2bLQV9nKYDRs2Thk+/BDYt0/+TSQrQADg9QLvvw+Ulppv8fn8c1lpAmR6SZK/BYC1a4GNG0+B4DZs2PhRwlaCbNiwcUpQVkY4eFBTYIxQrDt6uN3A1q3W3wDAmjWAKHacnDZs2Dh7YCtBNmzYOCXYvVtbzgIAt9SEUrECEsnmICLg0CHA59M0HqPS5JGacVg8Ch/51bCmJtlfyIYNGzbaClsJsmHDximB18s+HxaPoVpqQBXVM+F+Tb9BIMD6+xwSj8ItNaNYPM58Ewx2sLA2bNg4K3DGK0GffPIJ8vLyMGXKFOTn52P37t1h6detW4cJEyYgPz8fEyZMwNq1a0+I544dO3DppZdi2rRpGDp0KM455xzs2rWrw9Jlw8aPDWlp/GUtPwXU39HRQFyc9i49nf9NAJrWIwhAly4dKakNGzbOFpzRu8M2btyIW2+9FQUFBRg0aBAWLVqEmTNnYu/evdwjyEtKSnDJJZdgyZIlmDp1KlavXo1LL70UO3bsQGZmZsQ8Dxw4gMsuuwzLli3DiBEjEAgEkJ+fj+LiYgwfPvyU5oENG2cKcnKA5cut/XsEARg9GnC5NNNPZqa8Db6+nv+dIACDBgH2jQM2bNg4EZzRlqCnn34aF198MQYNGgQAuOWWWxAMBrFw4UIu/UsvvYTBgwdj6tSpAID8/HwMGjQIL7/8cpt4/uEPf8CNN96IESNGAACioqKwYMECjBs37mQk04aNHwUSEgRcdBH/nQBCXIyIooNBvPJCAB99EERJsQSHA7jmGsDlMm+DFwRZ+bn44pMvuw0bNn6cOKOVoG+++QZjx45Vnx0OB8aMGYPly5dz6ZcvX87QA8DYsWMZ+tZ4BgIBfPrpp8jPz2f4DBo0CN26dWt3mmzY+DFj7FgB118vL3MpcDqAKIeIgI9QUyNbffbvI/z7LRHffC2iZ0/Cz38OjBihKUJOJzBuHPDznwP21Xs2bNg4UZyxy2E1NTVoaGhA9+7dmfDu3btj06ZN3G8KCwtx7bXXmugLCwsj5nnw4EF4vV7U1dXhqquuQmVlJTp16oQHH3xQtTDx4PP54PP51Ge32x1xWm3Y+DFhyBABgwcT6pfJjs8VuyWQxC53KecHffethB49BQwdJuAnPwGKEuTt8MnxwEVTT73sjY2E8jIJgiCgV28BsXEn95TGlmbCjm0ijh0lCAKQ1c+BYcMdiIq2T4e0YaMjcMYqQc3NzQCAmJgYJjwmJkZ9x/smHH0kPOvq6gAAjzzyCFasWIHs7GwsXboU06dPx7p16zBx4kRu3PPnz8cTTzzRliTasPGjhSAIiI0VUFdLCPgBcmrviEi9UVsQgO/Xixg6TDZaOxzyv1N9QnRLC+Grz4PYE1LYAMDpAkaNdmLa+U64Wrny40Rw6ICIjz8MQgzKCqIgAHt3S1i1HLhxVhTSe5zRhnwbNk4LnLGtKD4+HgAY64ryrLzjfROOPhKejtBBJ7NmzUJ2djYA4PLLL8f48ePx4osvWsr78MMPo6GhQf1XWloaUTpt2Pgxo6GBAJ3+cESswk6xBEGSTz8kAsqOAaIY5rTEk4yAn/D2WwHs2aUpQAAgBoHNm0T8970ASOpY+aqrJPz3vSCCAc1CpvxtaQHeWRSAt+WHyxMbNn4sOGOVoLS0NKSkpKC8vJwJLy8vV5UTI7Kzs8PSR8IzIyMDANC7d2+GJjMzE0VFRZbyxsTEIDk5mflnw4YNFlVSAwIURA15wtKdSkvQ9q0SKiuIuzuNCCg8TDh8SDK/bAc2fS/CSsUhkhWhHdvtY7Jt2GgvzlglCACmTZuGgoIC9ZmIsGXLFsyYMYNLP336dIYeAAoKChj61nj27t0bWVlZOH6cPaytoqICffr0aXeabNg4m5CSIsBytIes7PTqDTidP5wPzLYtrLJRLzWhkbSTHwXBTNNe7N+nWZ2ICIViBY6KNQzNgX0dq3jZsHE24oxWgubOnYvPP/8cBw4cAAC8/fbbcDqdmD17NgDg9ttvx6xZs1T6e+65B3v37sWaNWsAAGvXrsXevXtx1113RcwTAB566CEsWrQINTVyp7R582asW7cOv/3tb09ugm3Y+JGhWzoQFW1t2SECxk908l9GgICfsHNrEKu+9mP9mgBqqtquOLjdmpbmpyAOieXYFzzGyNhQf8IicqG/C60ZPtRKjSiX2EhE+5RsGzbajTPWMRoAxo0bh4ULF+Kmm25CXFwcHA4HvvzyS/VQQ6/Xi0BAO402MzMTy5Ytw4MPPojo6Gj4fD589tln6kGJkfAEgF/84hdoamrCtGnTkJycDEmS8PHHH5u2zduwYSM8nE4BU/IdOLJO3immQFGKJk12YMjQE7MC7dsdxP+W+OH3y87URMDaFQEMGurEJVdGR7zDKiFeUP1v9CdV62VN7ODDGrv3EHCkWF6CkzimMsEB9Oh5Rs9hbdg4LSAQhbuf2cbJgtvtRkpKChoaGmz/IBtnJf72tWxtHdErBeN7d8OWzRL++d0BSBIwplcXXDstDX0yHdxvEmKc+Pm5/Sx5lxSJeG+hj/tOEIABg5246voY7nsjvv82iBXLRYCAJvJib8gKlBelxX/VtS4MGXbiFisj9u8V8dH7ssLloRbsD5aZ4vzZr6PQtZutCJ3psMeCHxZ2C7Jhw8YPjqRkAfnnOTFmrBNjxzsxdZrTpAC1Bd+uCoRdYjuwV0RVRWRLY7mjnUhJka0vRggC0LOXgIGDO7YrHTjYgVFjZJ76ZChpmjHTaStANmx0AOxWZMOGjR8VmpsIpSWSuptLJAlFYjUapGYIkNR/n33SgorjrTs0x8YJuPWOaGRmmrWqQUMcuGFWVIc7bguCgAsvdeHyn7jQpat2ZlJmloAbbonCuIlntCfDGQGSCIEAwV4s+XHDbkk2bNj4UcHvYwet41I9qiU3quHGOEdf1bJSVU5Y9HoLpl0YjTETosPyTEoWcNPsaOwtCmLhOgcEAL+5LBopnU7erjVBEDB8pBOdMqKATU4IAG66ILycNtqPuhoJG9b5sWenfFBlbByQMyYKYydFIy7ePqn7xwZbCbJhw0aHQZIIh/YFsX1zAA11EuITBAzPjcKQEVGn7KqHhCQBLhcQDPkw+6B5XPMkWPGFH926O5HRt3Wfns5pDqR3lw3oJ1MBMkI41Udkn6UoLxPx3lstCAahHlHgbQE2fhvA/t1B3HRnHBIS7QWUHxPs0rRhw0aHIBggfPSfFiz9wIsjhSLqawllpRK++tSHf7/RhKbGU3OuTVSUgBG5LvOt87rf+iUOwQEUfO8/JbLZaBtqq0UUHwqi/Jh40pelSCJ8+qFXPqXbUFWJ5NPNV3zBd7a3cebCtgTZsGGjQ7D2Gx+OFGnXXehRV0P47GMvrruVf6VNR2PyeVEoPCTC3UAm688hsQot5McwZ084BAEkQZX7dMTZaAWqKBPxzedeHD+qlUtKqoBzZ8Ri4LCokxLnkWIR9XVaxSUi+CEiRpCHSZKA/XtETG8ixCecfWXyY4VtCbJhw0a74fcRthcEGOVHP3MnAo4UiqipOjXKRnyCgFk/jcXI0fIAph+yaqUmtFAAbt2pz+FOrbZxalFRJuK9/2tC+TG2rjTUET79sAW7t50cq11VhcRYD4ukGmwPHkWVpF3hQhJQW22f1P1jgm0JsmHDRrtRcVxUfXAAwENeHBSr0MeRii6ORDW8tFhEWteOO08nHBISBVx4WTR2e5z4fg8sFR3BgYj8gU53EBECfsDpBJwueTSXJELRwSAO7PbD7yV0SnNixOhodD5FZXAiWPWlF6JotiYqWPE/LwYOi0KTR0JLMyEp2YHE5PbP550ugYmzWmoEAByTGtDVkaSja3dUNk4j2MVpw4aNdsM4YB0UqxAgEYfFakYJ+iF2G2f1d2LDXuu4SQLGTDg5SyynAgE/YfN6H7Zv8qG5iSAIQPZAF3LGxmDdNy2oPC5bOIgAwRHElu98GH9uDCaeF3vaLbU11Ek4WqJZgCQi1FATUoQ4RAuy4ub3Ef79mgcNtZpFpk+2C+deEIeu3U9cucse0Pq38QmC6hhv48cBuzRt2LDRbqT3cDIzZCtdp3fmqbdAxMY5MHiYC4KDvaNMPvyQMHqcEzHR5q31pwvCOQT7fYQPFjTi+9VeNDdRiB4oPBDEx/9pQlW5pIYBmsPvhjU+7DlJy0rtgcfNLjWVSvUoFGuwVywPhRAEEKMAAUBpURDv/cuDyuMnfqFafY0IhyAh3NrohClRcPyAl/na6HjYliAbNiJEwE/YvsmHHQU+uOslREcLGDIyGqMnxiCl8+m7vHAqEBMrYMSoKJNfkALBAfTKcKJr+qnPJwFAapoDo8ZGYXR0FLYXAJIEdOlEiG4SsXNjEDs3euFyAcNGxeCcGXGIjjkzBrqNa72oKhdNea4qPWH0uo1rfRiaG31aWYOM5/DUUTMAwEtBKAoQD0TyhbIrP2/B9Xe2/SI3T4OEJe82QSBAtg0I0JQh+e+IXBdGjz9zLYY2+LAtQTZsRAB5xu3BuuUtcNdJAMlhOzb78J9/uFFRZl/pnX9+DHr1kZUc47Ca0knApVfHcr87VfaX2DgB0y6MwejxUejcGaivDjLWn2AQ2FHgw0eLPAgG+FKdPuoCIIqEHQU+RtHxUhASR/OplpqwK1gBH2n1tL5WQkPd6eXk27mLA13SHRZXnsg7/ZRXQZJQJzWr6SUCykpF1NW03fl+52YfJFHm7YQEp+6iXAGASwgiyiWdVgqjjY6BbQmyAb+PsHebF/u2+9DSTOjU2YnheTHIHhwNh8Nu9ADw7TctqC4XTSM2SUAwACx7vwl33JOMyuMidm/xoqFORFy8A4NGxiCzf9QPlo8NdSKOFQVQfiwIh1NAp84ODB4Zg9j4jp//REULuPbWOOzfHcShrwQ0NgtwRQPTzovB8Nyo08a64mkgVB4XkcYxShEBFcdE7NriQ+54vtJ2MkFEOFocxJHDfpAEpPdyIbY7n7bJQ/DpNri5JS/2iJVIEKIxwsV+dEisAQCUSPUY6Oyihoun2ckAgiAg//xYfPSfZsMbggMSoFODDohVcJMP3R1J6OtMVSkb6iSk8go3DIoOahZMAcBBsRqOUGMXIE96ig4GrBnYOGNhK0FnOTwNIj5a4Ia7XtKFSThSGEDmgChcen2SutPkbIXfR9i9hZ1xB0iECw4IgryjxNMgYsnbHhw5HIDgkJUjQQAO7PKjR4YLl9+chJjYU2d4rSwLYtX/GlFeah7l1n3djKkXJWB4XscP8k6ngKEjo5BTGw1vQI579PjT66qHyuNBxtLQTAEEISJZ0PJjR8GpV4I8DSI+fceD6gpR9l+CvGwXiPOjub+IxGR2YHcZVmYqqQkA0ETWvj4itHYeHQOkdDr9FgP69nfhihvi8PWnXqBBDhNCViD9qU9ukg8urKIm9IWmBMXGtr2/knQGMSJCjWRUwlgaGz8e2ErQWY7/feAxOSMqg33JoQA2rGrBpBmn5oA7K4gioXCvH3u2etHkkZCY4sDQUbHIHhR9SpwU62vZ7d91Ugv2iVXo5khEP2dnALLCc+SwPFNUnE+VfCw/GsTXnzTi0huTO1w2b7OEvdt8KC3yAwT0zIxC1x4uLHvPA9FihU4SgRXLmhCX4EC/IaeXgnIq4G0hRqHdHjwOABjl6onY0MF4+knByYCnQUTJQT+CAaBLdyfSe7vw8UK3vNQKuQ4pInqbCfu2+zBiLKuUxSc40L2XExVlZp+g1iAIwIjRMXBFnZ4TnP6Do5A9wAXP0ihU1RKOFinlQQAEnbM46f4ByZ2cSO/Zdr+zXn1cqKnym06KViA4ZBobPz7YpXoWo+JY0HQgGRFp694E7Njkxbj8uB+ss/T7JCz5jxvlpQHVVbG2Eig56EfPzChcfnPKSb+TynhD+FFJnp5WSo0hJYjCeqASAYX7A6ivEdGpjWb6cDhWHMCn7zQgEIA6Yh45HIBEQKveKwKwYVUzsgdHnXV+DlFRAtfnxEsBVQmKOQFrQiQIBggrP23Evh2yFUPZuh6XIKC5if8NQbZClB81a7Xjz43FknctPgQAAea0CkC3Hk5MmHrqLF3BAKG5UUJUtIC4hMisTw6ngLSuTrQEZWurnAxCg+TDPqlSXqYC4IAEF0QQgIw+LsuqHwwQggFCdKxgWp4eOTYG2zdZW9BIAnLHx0Qkt40zC7YSdBbjWElA7YQBoEJqRInUgKHOrkgUZAuB30eoqRSR3uuHqSqrljWiopRdi1fUjeMlAaz+3IMZV3a8hUWP1C4OJCYLaHRbKzr6LrWZAjgo1iLDkYzOjjg1vORwoMOUoEa3iKVvN8jWHp1YRgVIJAl1oZORa6kFWY5OiBKcAAHVFSI89RKSU8+8nW1CO1yU09KdqK22doYRBGBozokPeNXlQezb7kVzo4SEJAcG58QiLd0FIsIXH7pRrPMtUdqesr1dKbtyqRFeCiLTkaLS1VSaZc4eFIVpl8Rh5f9aIIRcZpSc6d7LiakXxmLXVj82FMgWwLh4AVPOjUXO2JhTcqGtt1nCxlXN2LO1BcFQsnv0cWFcfgIy+rVuheRJeECqAoVMNgJDS9i/w4v4RAGTL0gESYSjRQEc3uvFsZIg6qpln76YWAHD82IxenK8ukTdpZsT0y+NwzfLWkJHJ7ACTJ4Ra1uCfqSwS/UsQl1VEDs3teBokR8CgOg4dvA7LNYBAA6KtRjlsvDGPIVo8kg4sJO9sNDYKe7b7sM550sRzy5PBA6HgLGTY7Hy8xbue6NMB8UaNFEA+8RqTHJkyDQCIIkdtw9q12YvxGDrhw+WSA0oD518CwAOCOjvTA35WBDW/s+D4WPj0KdfNIST5LzdUCvi0G4vfC2E5FQnBoyIUQefJo+IHd83oXJFDVwuAWUuP7r2OLnbkDt3cSAh0QHBa34nCPIgmTOu7UqQJBJWLPVg33afPJDKKzfYur4FQ0fHYnBuDIoOhHOu1fK/MNQW03RKtGhRf3LGxqD/4Cgs+J8bVO6A0yng6osSkJHlgiAI6JERhV1xsQAImWlxyBt9aixA3mYJH75ZB3edxNTT8tIglvy7Aef/JAmDRrYuS0KSA45Q85bdokn9rUCApD5vW9+MZo+IiqNB7u43n5ew5dsWFO734+o7OiE2TmY+Mi8GXdOdKPjOi02hE8aTOznQPzsGYyefeid5G6cGthJ0lmD/di++WewGBN0NyYIIovBWgOgYIK3bD2MpOFbshzY/JtRJXhyS6jHA0QmdHHKnRCSg5JAfg3NObic1cmwMGuokbPnOJx8sIWrLDF16OFFXEVQdJ4OcTd9EQHrPjmtuxfv9zMBySKyFCMJARydA0OKpItbB048AnJCU8RklB/0oPuBHjz4uXHpTJ0R3kPM2gUBEKD7gx3++rYEQWpaRJGDdlx5MuSgJx4r9KCsOIN3hQKxTtnIcCwRw/EgAuV1FILNDRDFBEAQMyYlGcpkLLUfZ5aLUNAcuuS6Rew1DMEA4tNeLw3u88DZLWHysDl16uDB8TBw6dXFh/fIm7NsuK+2kd2EBsGeLF1XlQdVpHgDqJS885EdvR1JICKVUNIhEcAiyeScuzI6+hCQH+g+NRiBVtq70yeYpkqd22XPjqmaTAgRoivvKpR5kDYxutc45nQK69XRCqNQOjtRSQhCJ0EJBxOvqvTx5sk4vEVBfLWLDyibkX6ydK9Qjw4WLeyXg0Ddaf5J0Cjc02Dj1sJWgswA1lUF8s9gtdz76DomgCzB3GIIAjMiL/cH8gTz1yuxOlnGPWAMBwG6xBuc4eskyglBxLNAmJaiyLID921vQ7JEQn+TA4Jw4dO0Z3vogCALOnRmPITnRePWzGhxvCMLlEnD5zAT0HRCFFZ82Ye82H9cyIwhAahcnenSQOV2SCN4WLSKJCJWS7BficyQhBorSypabssNG/0Z13i4NYvknblx8Y6cOkRGQFazq40EMipLjUeISg8CqTz0oC/CtIpIIrP3Cjak5aYiOOTkDkCtKwMwrE5AkxaJsWRSIgAvzEjB+ZDLXR+rAjhasXuZBrc+H2qAIgHCsOIBjJQFs/64F46YmYOcmvqVQQdXxIPRlskesBgDECk50FeJACDPZ6GAl+mQjGCDs2dqiO7SR0IQAYuGCK7TeFAwC+3d4kZTiRFmJ7I/Tq280Mvqbj+bIyI5CRqJL3n2phmptYGuwAudE9Qork0QEH4KIE6JCMgF7t3oxaUbiKVkatHF64sxpVTZOGDs3tjAHoKqzKUGAAxIkw5mZyhjQp18Uxp8XfmeYKBIO7/Zi75ZmNDZIiE90YFBuHAaObL8zdWKKvKZgHLiVk0KULjA6QidWUSSsXOLGgR1ebRu7A9i5oQUDc2Ix7fLkVnebde3uwsDh0UgJ7ajLHiTPvCdfEI+KY0HUGm5JV5ZXLro2sUMckA/t8mL9Vx543IrVwKjoIFSmTrTlGEIioGi/H/U1QXRKa3+3UFcVRFVbDpAkMZQ/ssxiENi1qQWjJye0W5ZwSOvmRI8MOb3de7m4ZVS414uvP3aHngy1MZTFG1Y1QV8WHvKjRGpAX0eK6l9HxHFSBsGPYOhLCQRlHY2liY0T0KUd92KdajQ3SqoPEADUkhf7xBrECi6MCS21OwTC98sbEfCTuty1bX0zklOduOTmTkjt4oK3WYLHLSIqSsAVNyfh0B4/Ct5j41KyVCQJfkgh53Yto0slN2LgQoXUBDf5MNiZpi4zBgNAY4OI1K72UHi24qTa+Z5//vmTyR4A8MknnyAvLw9TpkxBfn4+du/eHZZ+3bp1mDBhAvLz8zFhwgSsXbu2XTzvv/9+CIKA4uLi9iblpKH0sE+3bZuwS6zGbqlG3gkGedBMSJBN6jGx8oF6F12biMtuSoIrzBlBAb+EpQtr8c3HDTheEoC7TkT50QBWf+rGR/+sgbe5fduMu/cOzdgs3it+Lb4mMez9Sgo2fNOIAztkRxA1P0J/D2z3YsOKRosvW0dsnAPX3pmCSdPjERsn7z6KihIwamIsbvxlCtK6tb+TPbCjBV/9twGNbil0kBu/bAQAlZIHdZLXFK6ghQLYEaxArdQc8qeQ70wqOdi++6SICBu+8WD/di/0JecmHw6KdfCT0bmXIEHCFrEKhWKDTsUg7NpkPquluVFE6WEfDu5swffLPairbv9J3c2NIkoOePHlB/VY9u9a7C5oRsCn3LlF+O5rpV6YlU7o3uixU6xCg+TD7pC1R4FVNVV8XQRIhjwKXRUhUatKdHt0bCJCTUUAB3e2YOeGJhTu8aK5sT0nKbIJrSbZSuZVT6ym0K33Mp0kaefweOpFfPKvWnz0z2psXtOI/VtbsGtjMz76Zw0SEoBuPfk7wLaIldgSrECj7pykRvLjiOjGQbFWPVeogtjddM7T9JgAG6cGHaL+rl69Gtu2bYPb7WYGo7feegv3339/R0TBxcaNG3HrrbeioKAAgwYNwqJFizBz5kzs3bsXSUnm+2NKSkpwySWXYMmSJZg6dSpWr16NSy+9FDt27EBmZmabeW7btg2LFi06aenrCAT8EpobNWXEDxFuks+UER0EV2ifTXQMoUuiA36vhNQEAd26O1s95fjbLzzqzi3m2A7IloAVixtw8U2p/I8jQGKKw2LIodDALStx+zY3o7zEh1GTEzEwJ447WPhaJOzcaB5U9dixoRljpiScsF9MdIyAMZPjMJbi4PHKCtzk80/MklFR6seO75twrMgPEKFH32iUFrJH+QsGy4GS6mYKoFCsAwFwCA4IIGZIEiDhoFgLDwWwT6zFZEdP5fQVVJT6gQknfi7U4d1ebFlr3rK9MygrAyIIg0NnKylWvmpJHiCPhwZIJR1NDSK8zRJi4x0hK14D9myWrZrRcGJbTRO2rmvC8HFxmHxh8gk5dm9a1Yg9BTLPbo4ApEonSg/7sXlNIy6f3RkBP6GhVlEGCAGdgrI9WIVhzjS4BIfZdhNqEEHdwTMCgCGjY7Bniw88CACOSW4Ui241DxyQ4IAAv48iUvRPBMX7vVj/pdt0KakgAANzYjHl4mRERUfeJqrKAlj271qYrGYRgkhe7vUdY+WpLg/i00V1SB7gQHm5vGyqh6I81kpeJDqjAQgIWB38E0JaNyeSUmyfn7MZ7S79u+++GxdddBEWLVqEFStWYOXKleq/+vr6DhDRGk8//TQuvvhiDBo0CABwyy23IBgMYuHChVz6l156CYMHD8bUqVMBAPn5+Rg0aBBefvnlNvOUJAm/+c1vMG/evJOQso4BEeHL9+tD9yCF2d4tSGiqDeBYoQ9VZQEcOeTDuy9XYfXSessdTd5mCfu3tzAzW30nTQSUHPDBXRvkvldQVxnAge3NOLSrBS1NhjOLTP0XAaryw/KqrxaxcnEDNn7j4cp7rNjPHB7oIT92Bqvh0c0axaBMx8RIhIqjfhTv86KqzH/SBiI9dm1swif/qkHhXtkB19tCKNrnY+658pOICqkREum2W+veAXrrQqihCzKVANl5m91dI+PwHi8aQmXma5FQdcyPuqpAxOne9m2TziJhHvyUizAVaVvjum+brCB995UHB0NWPHVZN1Q/dm1swZZ1muIVDBCqjwdQfTwAMWgdQ8lBLwpWNao89ZTNHgmfLqrFro2sQndIqld/N5IfZaGdd4rvmpU1RnAAvfpGYdpliTj3wgTEJ2iE+k9KQgqQ0eYkONpn6bHC4d1e/O/depMCBMht+MB2Lz57uy7inY2+Fgmf/rsWPq9yzQXAK2XBUP+OiG6USvy2qwkky3Ss0IfBOTGIimnPQQkyxuYnmCZNp6KN2zh90G5L0JdffonS0lKkpaWZ3t1xxx3tZR8W33zzDf7whz+ozw6HA2PGjMHy5cvx29/+1kS/fPlyTJkyhQkbO3Ysli9f3maer7zyCqZMmYLhw4d3ZJI6FMdLAig97DcdN6+HAAkO3QWEeuzd0gJXtIBzLkwxfVd5LMDMxOolH/ZJdejnSEFX3bbeAztb4K4JomivF8EgoVOaC8PHJaBXv2isXtqA8hJN6RAcwOBR8Zh0YQpcUQJcUQI6pTlRXyOqlh9Nbj62rmtC9lCzo7Px9OQdYjWICDvFakxy9eTSFe/34rsvGuCu0xLaqYsLdX0DAGcHdeUxP3ZvbMLWfR74SEKnNBcaG0QkpkTuy1FdHsC6z2X/E70SSKoTu5zy3aFt+A0OHwY6Uk1KIQ8pqQ4I9RyPk9ABmcrAu319E8SAhEM7W9QliuTOTozJT8LAHGsrUcAvhZx/Vc4A5IHdEKP6q7VBrPyIH97cOOzmLI3pse3bJgwfF48d6xuxc0MjAiFji+AAylM8iM4ixMSxc74dG5rhAt8hnojQ2CBi39YW6OeKxuU8SZeWhCQBwaDAKKuKDLGxAqZdngRBEJAzIQ4jxsaibHElKo4GgJpWMgHKDs2O0YIqSv3YU9CE6nI/aqrC1xsiuR8pPuBD9pDWNx/s29YCX4tmmZStkHoPPhkul9bW/CTiSEgB6ikkwKVTSkROvfZ7CSQRcifEYefGFvi8ZKFNh5v4AZNnJqD/MPsAxLMd7VaCBg8ezFWAAOCvf/1re9lboqamBg0NDejenT3Ppnv37ti0aRP3m8LCQlx77bUm+sLCwjbxPHbsGP71r3/hu+++w8aNGzsiOe0GSYTSwz4c2tEMb7OEpFQXmhpJPq9EAgBCreRFLen9RKRWD53btbEZo6ckmc7hIcPTbqkaRMB+sRZdHZpSsWWVh9mWX18dxLrPG+Bwmi09JAF7tzSjyS3iwps6hwaMeKz5rEE3q2TjbaEgnABihJCiIQjYvakRU69gl+HSurNVXZntGW/cVuiK9rbgq/frTDHW1wSxq6IJ3Ye7kJTqRNUxH6qOB1F6yIviffL5MF4/wUcSypv9eO/lClx0cxp6ZUXW2e7a0MRsoyZlS5+g2nMAAE0hCxBbnrqd1kwg0CnNiaxB0Sj6TjSV+BaxCmNc3dT49m9tkq9t0PFx14pY+Uk9Whol5JyTyBdeR6+P46jk1oVQyHE78gG99LDPdG+Tn0Q0UQAJoZ0+fp+Ez/5dg6pjhoM1JaCuWkRVZQv6DtbKoMkdhKNWRKpDU4L2iLXoi0RkOPTp0y8m8rexKxg1KQH9hsRgy7fNWL9BXq5xOoEReXEYfU4coww7nAISk51wZQlwt6IEOQSge4bsXC1J8pKlr0VCcqoLndPbcqYS4dDOFlQVVUNwyD44pKtTAZJQTz4QCFFwItUh55cgAPu2tkSkBBXvZ5f6SsQGtCAIAYKqqMfFSkjvHY3Sw/IxD1r+EggSoNslZ7Wc5WshJHUSMGRUHA7s9KLZI8kHv4beO51A76xoeIp9QGjTnsMpHzPQPzMGt13aGQlJZ46juY2Th3YrQT//+c/x3HPP4aabbkKPHj0Y0+JPfvITrFixor1RcNHcLM8MY2LYwSUmJkZ9x/smHH2kPO+66y7Mnz8f8fGR+074fD74fFoH4XYbZ8cnDr9Xwhfv1KD8iF89AVpw+BCUHFA6bAHyFnMjeN15M+mWsCSg5IAXg0exaU3vFQWHQ+6UHZBHTIWXcg4NQTBvyw/BuJ6vRQgcOejD8WI/embFYOiYWBSsbIC3GYb5JCFAQWwOVgIAzo3qIQ9PRCje2wLxkk7Mxa+du7rQo08Uyo8GuPcDCQLQIzMKqV1ckCTCus8bLOUjIhTtbQEBSFxfzXjkMLyJIAYJX7xTi5vnpEd0c/vxI36dAiRhk1gFgDDO2RWkHmXLH4Rj4gRk9Y/Bvr1a+TkcsiNppzQnDu9qgYNj+Wghva8RWZcNgA3L3eg/Mo47gETFOJDa1Ym6KmU5Tlny0itAcphDDQlv3+iVFR1azjVjt1iLca509dmoABlRvM+H8iNyGywr9qM39HVas1plOBKgX5ASVI8pveOboPtN6N7TiWMHm7Hr2wZERQvo0duJtPRoxMYJOPcCC6URskN95rg41BXw3hIcDsK0K5OxrqoFNeV+vPO3cjR7tErWtWcUJl/SCV17tX76ck15EPWHCCOcCbp6qqVlV8i6qGByaDJDJO+g4kpIhJL9Xuz6vhGVxwLwB9mFvGOh5cJYwamFEjAsLw5HDvkh1w5RneQ4DUqQFZSdp1HRAoaNiYW7TkJdtXxW17CMWIzPSED18QAGRDtR3xiF5E5OxCXKFx5ndYlpswLUWB/EwR0taPKIiEtwYMDIeCR3tneU/RhwQqXocDgYZYeI8NBDD3WYUJFAUUD0ioXybKWcxMfHh6WPhOfSpUvhcrlw8cUXt0ne+fPn44knnmjTN5Fi1eI62aEV2uydJH23Lej+1xBuh5HmbEs4XiybwvUOw7HxDmQNjkbRHuuzUfSciQhBEKIEsyJwXGpGHJzopMw8HcD+7c3omRWDoJ/gazbbDaqlZkQZt/aH/vq9hC2rPciblsTU02lXJuPjf9XC22xYrhDk9Jx3uXz9RlmxnxloAiShmrzoKsRqZ5woA7OqU5gHRtl2QxADItYuq8OMazq36ryryUsQIcEfUlACkBDVytb3zP4xmH55MoZOioZvfaN8PlGqCw0NQRzcLivxSYLL8nuTfY8I9eRHvODSLG0ADmxrxqgp5o0HAJAzMQGrlrqh7mqCpgypaQSBYOX0riE6RsCgnDjU1/AGYIKfgnAiGHpiB99Gks+TUSxFCravb0IwWUJDrYjeTlZD1+RkJSsUG+AmP0Y4uzLxAwLiEx3oleZA5VEfewVN0I+qYwHu8mF9dQC7NzZiZ4EHJAGjurswMb8rSosCwGGZt1OQb1B1SkGs/6wOB2Oa4K4T0SfK4Cx8PIClC6pwxZ1dTfEY86u81I9YkxKspVWvADEUAhCfJKCi1IfC3S0I+OVl7f45cdj+bSN2ftfEpN3IF4BmxxVkxa3vwBj0HxaNwt3NnHrALwcFTpe8PKuPKznVieRUJ5obRRTvboJvqwCHA6iVfDgW8KIqxoH+I+MQl9A25Sfgl7BjswfSNxVqXgDA5lUeDBuXgEkXppy0k9ZtnBqckBKUk5ODF154ISwNEWHOnDknwj4ipKWlISUlBeXl5Ux4eXk5srOzud9kZ2eHpY+E52effYbi4mLVuVpx/r7hhhsQGxuLZcuWITHRPPN7+OGHcd9996nPbrcbGRkZkSfYAu7aIIr3cc7/Dw1CFKaIwzVdR2jBggAc2t6Eot1NyDknCaPztV04cfGtLaZpisFOsRYN5MNoVxoShGg13E1+HBJlq8sURw/5KwmqEsK3AhD2ifUYqe4ykq0meoVn21o3tq11IypGwICceIycmISUzi5c+4s0bFvfjPXrBYgiwekSMHJ8PHInxSMhWe4gm9zsoLtHrIOb/Kh1eDHMmWrpXQWEzioxbQMHive0YPXSOuRfkQpBEOD3STi0oxllhT5IREjvHYNBo+LRZ0AMGmqCugsjNchKq2g61yk+2YEBvWKREjrfJz7BqZ7143AIKNnvVQcoLYv4ipA+zlryYU/o+oYpUT3U744X+9CrbzS69jJftTF4VBwqjgawYaO1ouUAoZmUW18tBjoHcMnNqYiOdaBrTwFp6S7UVmrbq43+YfrYRJKwNbQbLVmIRrRO8T5y0IvACKPKRCYFiIhQTs1IFKJQFjqIspaaNToByMtPQFdfDCoL2AmI8lsSCYd2NkO8nFSr5NFDXnz5rrx0HAj5DlWX+bGtvB5D8hLQ1+FC6UF2Eub3E9zNVpYY2aq64Ws3XGO4JADk83C8TRKUeYyfRGwXa9DNEY8MR/i794gIXncQS/9Vpd2rRcCG5Q0gUvJLyRbFB8jEBQJkxa6hsgWrPiEkJTmg2aplyM8SyFLZJyQkCNi3WV427pTmQpce0YiKcSDgl3BgWzN6UQLgYLfdK++GjYt8t+bRw15UlPoRKzjVkVJfxrs3NiE61oGx007u3YU2Ti5OSAn6wx/+gPz8/Fbp/vKXv5wI+4gxbdo0FBRodmQiwpYtW/D73/+eSz99+nSsX7+eCSsoKMCMGTMi5vn6668z369atQrnnXce3nvvPfTt29dS1piYGNMyW0eg9BCrANVIXpRIjRjkTEGC4Ap1KMa9JvJjcmcXOqW4cLyEvYKB54AsBoEtqz0IBgnjz+8EACjay1O+eCA0kBcCgAqpGdlOzXTv5SgMAJAYUkhi4+Wzi3ze8A6c34tVGOFMRZKgnS0kQB5o9hY04eD2Zlx2e1ekdY/G5AuTsMkZD0mSl4vOOV+2apDsoGDyf3KHdpDVSj7AadhFREE0UxAtENFZiEFLaDbN7rySvzi4rQnlxV70yo5F4Z4W+L0hTYcIJftaULCyHpMuTg359bDb2v0Q4SABUYJDXj4QCIkpTvTOisUNl3TG/I8qcWhHE5YdrIAjGfBEB5GU6kRDjQhfi2Y9kIhQJ7WoC5Z6FcIVJUAKak6m9aQMxgRAPptIIKDscAuWHm6BMwpIS4/GgJx4DBqdCIdTgCAIOOfCJLxl4Sqn5MVmsUKXS2zZxic5ccHlKejeJ3TIoARMmJGIrz5sAPx6C5OxVsvp0V9b4iaf7FKlhIkiWhpFNU1s3DK3FgrggOhWy11rD6F4BSAh2YmAX1ZyeiIR6qRDdTInEAkI+OWl0/4j4uFrkfD1+zW65UZS/xcA7C1oQqni0R2muntJRD350E2Ig0MQ1B1T6UPCTEkMvm+lUiO8JKJE9IRRguQ0uRwS6kKXtzLO+oz0svIpQIAgGJ2hCU4QAqFQb5OEwzubQ9MsVuYqakE64uQrVphFU8AhSHCQhCa3CL8kl12LR0R5iQ9pPWSFXBIJxMkGIiAYlHcNDuhhfm9E5VGfal0Phx3rG5EzKbHDrpuxcepxQiV39dVXq7+NSgEANDY2Yty4cWhpCX+MfHsxd+5cfP755zhw4AAA4O2334bT6cTs2bMBALfffjtmzZql0t9zzz3Yu3cv1qxZAwBYu3Yt9u7di7vuuitinqcbRFE/uwd2i3VopAD2ifWh5RgptN7Oeq127upCzvhY1Ja1aM63ADPAsJBpdn7rxrfLalG8txlBf3jFRFuGMy5nWTgK6ZAxQB4AHU4BQ8cmqGlklth0MgdJxH5R8+Nh6CQg6Cd882GtbvurEDoHSTbzL3+vCv/3RCn+78lSfP1OZUQyAkBBsAp7xDoUiW5sDlYxu4UAwE9BVRYB8kFw+7Y0we+VAEgQSDvviETCt5/WYtTkBNPwsDVYg++CFVraSN4hE5cgYNm/KlG8twWeuiBqKwI4erAFB7c34eD2JpTsZ9ugh/zYI9YioDu0DgAG5cTilnu7oe+gWMNWbHkgdHLm92IAqDzqx7ef1eOtPx3F/i367eJ8qEMmKfVCVOuo8i8+Xi73YEBCwYoGvP1cGb56uwrk96sWSuNSK393HMF4nIIAoHhvCxxO+beT2XUol/nmYCXc5IcACsVH6m/Z/00ut53feeBrVr3f4CUR34qVOBzaDad8V7i7Gas+qsaHrxzXWTYjW5JsgvkwyC1iNQ6IDSiR2MM99cquEa5oAdGxmuVW71vngKIU6us8wYUgnBC5PnQaZI5BkvBtsAIFYjUcKk+Fv7Y8rH2hhybNAdGNIqkRDhCc0HaFCiA4SDnA0pACkq1plUfZyVyR6MERfR6RfCSHpy6I8hJvSBk2QyJCWbH5LKdmCmJPqH9VIAYJRwv55z7ZODPQbs+u999/H7/4xS+YsMTERCxbtgxXXHEFrrzyyvZGYYlx48Zh4cKFuOmmmxAXFweHw4Evv/xSPdTQ6/UioLufKDMzE8uWLcODDz6I6Oho+Hw+fPbZZ+pBiZHw1OOGG27Avn371N8TJkxodZmwo9GtZxT3FFplaymRfCx/jOBUOyZBAGJinPjuf/VwCQ441SUWdqATiXCMmtBZiEaS4FLndvs3N2JfQSPI0dr6Ol+h0uaIhGoyWpPkN/pzSUZNTkTpIR9QitDgqfBhlzEolF4RBJfggJ9EREH2XyMCGmqCOF7sQ88sbZdLbYUfy76tMIlgvnoiEoXPqCgQvg9W4RxXN9WXSAkXON8q2L6mHtGxLgRbmUM4nEDh7hYkNclHEmj3NIUUrjpRvnyTicnsA0MQMHhUHOISHBh9biKOHPAacrV1SBKwdmkdomMdyBoaj7gEBzyN+tFTVn/YJSg+6ioDWL+sFtUpIqqO+XVLLSwvQPYnK5Q8GOZMRbIQA315WSlGgKxwCk7+gCyHmf3Q9IO4umQqaPEclZogEeGY4dLa0n3NEByAKPHVgHBKY5HoQV8nu7yuHMBYRz5kQeuXomMEwGe1xCggPSMajYeVNErq5MQJEQ7VOVm24iiKptHaUy15UUEtGOhIhkvnJ+YOKQZe3YGXTkiIjpLvCNNDsZbxIAA4JjWhnzNJp+waLHER1Ek/BXE0tO1eH5O3ScTmlfXwr5FPdc8cHIcJF6YiIUUbChtqg5B0MvshYU3guPpcSz5Mdmk7iIP+9p2Mb+OHxQkpQUeOHFGviaivr8fatWtNB0zV1dWd9MMSAeCqq67CVVddxX337rvvmsKmTJmC77///oR56vHee++1SnOykd4nGp26utBQHeQqQ5vFarRQEGNcsv+MAAJJ8lkh/V2akuKE+SqGI1IjSqVGFAPIj0pXadV4JAm8RQmVDvL5KH6dntNIQRwW3ejjSIRLcKJGatF9r8gjoXh3Mwq+qoPfKyE+2Yn4ZAccIGajPK8b3SbWwkN+9HMmolD0oIcjDgOcKXLHLgioLguoSlDAL6FkXwv6uozLAdrsVT6vV7MWyLNTHkj3P4tmiEiGQ24jhs7/sOiBFyKGOlKYgSHgbf3KgoQkJ6pK/SCDLmo1qBqtfEppCw5Ct9C5Sl17RuOiW9Kw4qM6CG5z5y6RhCryoZMQrXOW1ganVf+tQtGQOCR3dsLTGNSsXODnDQ9EgKdBQqWn9eWIgyGryz6xHuNd3cKoVpHB2lphhfAxqnndyjjpJxFOC8N8rRTO0iDX1ahoYP1n9aiQWpCU6kJZvxb0zI5jKLv2jEJMkwRnlQjjGdfshMJKkSLsFWsBAEcgINuZon5tBVEiE7tdUj36OhIhQEC8wXFdT3pMaoKx1sh9QPiapF0Do0mnt0AqP4iAkr3NOHqwBV17RcPXIiHgl+APsPlgPEbD+Jycau8SO5NxQqW3YMECdaeTIAgm/yBBENCtWzfm0EEbJweCIGDGtZ3x6f9VmQ5pA7Ttz1WSjzODkrubAEkolZSTcbVuyIOAgdIIq85SxrC8ONSV+1BxVAtzkx9u8iMICYOdnXR8tI7YAQml+5tVZctdE5TPUiG9l4A5NS2h04gFEApFeRZ4XGrBQGcyBBAkcsCh2zZfc9zP9LESEYKQEC04ECAJLghwCcbllEiHc2J+B0nEFrEGnYRYDHQmQcm3o5K8O6ZMaEEvxDG7w6wgCPLWYCfHELcpWI1+OsuBABjkh/m3BOz8zoNR+fKg1js7Bpfc2hl7XtGOVAiShOPUjEYKolLyIlpwoJcjDuVSC0Y7UxEtOOWckYCSPS2oDPjgcmrb7ZUZfaSKkBGNFEC0unXa2ooAEJwOgitKXq6DIf2+0PKkXmVl7XDWaCCzUlZHfrSQiDiBbxVl+Co39hoUJy+J+E6sQrRgfSAi3+FYWaIjiPJucxDJmyW+WFSJUeelYFR+J0YYr4enxBuv5GApisVGNCGA4TrfoQAkOCFBtHBgFgQgKkaAowUwqvO1kk9V7DSHe1YeAaLuLjm5BB0gEAhBixOdlTziKbJ6ixK7pC4vaZWXaIqmn7Tlu/D1Qn7r97XnjjUbPzROyCdo3rx5kCQJkiTh3HPPVX8r/0RRxPHjx/Gb3/ymo+W1wUHnblG4+lfdMHxCIpwudskBMJqUzd3sfqlBpwQptJo/hX4QOSY1o0jUfD8ckBATIw/KCjp1cSKznwsHCtyoPMqfzTfpzObKQO2EGLK0kOVFk3oIpl/8JRDlrQMSevTRnLKNPgEFYg2+C1bhoOjB+mAVtof8qlheBJOPlSku4+xVQjW1wEsijkv6pRKN7rDoxkHJrc5i5cFNk08QNCNSQrITA3PjTQqToPIyXwTLt9cp3xK2razFf+aX4Jv3KlBe4oVPvfxW5n1I8qBQbERl6FLWAIkoFmXn2n2S4gMT+iKULPaqBb1fSNtUoSYKYnOwBt+FzoQKZ1cSBGDImHikpUdxr5ko1tXzJgRNs/pwOC6Z1yebKICNwSq+LNDyJEgiNonVOBxSzvWx1oUc0AOGK0UQonTo2iPPMqLQGb/burIe+wq0qyjqqwO6q2m0ulMpeXFEMt/3puCI1IhayYs6gxKotH8eomIEXHxLFySlmi871fcrDihpNr/Tp0X5v0rib8bQL5ETgKBJLo2fl0TUSD7ozzbTQz8oWi+9aRM35YRsG2cm2m3H+/e//90RcthoJxJTXJg4MwXfC4nYu6UJykXJ4Uz1XohIhAMezvkgTt0BZnouh0KdeDdHbGj3mWx+7jcsFsEAITbBiYEpsdi6sj70RWuWE9YKZJRYJBFOi1m2skylcQ9jPQn9rTjiRVoPWREybu9uCe1UKwspKg3kh9+wjqGcYOsMzUr13ahDIIw5NxEHVtUBpJzHrfdRMcuoDysP7drq44hDohAVcjCVkNIlCs4o2bdpxnmd0XdQLF5c4UYwxVqx1XLEvP1beaOXSwAQ9Ek4sq8ZR/Y1Y/DYZPULgn6nmHlgqLM4X4bn+2J1Fo3C17gTC9B255lhTlevrBiMnpqCNZ9WoPKo3yArqzYXiR7UCsqBfVpJWLeZ8G/NSrimaJSHlOAyakR/ZwLMeaO1A/3hkgJTy0idJABGBQjMrjil5L77rBYZA+RlsYaaICdeYJ9uQwGTGiIc0d24rufeSAEQSXCEdsI5BAlJnZwQHAImnpOCgTnxiIlzIL13NOqrgiGFVKtrCi8HAFeoryFde+HlsgDCHrGB+1ZfMkelJhw1Teo0NFEQu8R6DHWmoJvAOwXbvFRITN2R1POpAMG0m9TGmYV2l96tt97aEXLY6CgIAvqPiEd8onXRKs15c7AG1ZyZlXnGaZxtygf5IbS7R/IHcXBrI4p2NWHfJg+2r6lnhidWESDVyuGEtnxltF4BQKHowdpgtTxr43RMDt1vfbqsQdhf4Mbu9fVoqPZHtJa/3jDL3ybWMeZ2B/S7hgjb19SrovLkEnR5yFumqpRaUCDWQcsXgqcugIwBsegzMBbZQ+PgcMrUCclO1QJnOV/lvtArniyU532b3IiJ1y9GgJGZl9ceCmBTsCZUXub4VF6cYxHMu7giXXbU5Erv6UDPPi5UH/MiKdXJtQRV6Oq7AKCBOQaAEBvvQLzhNGHFMsdXYpVnickbjZYtY6XOsD4r7HeC+p6T12S0lIQUICJUq+2ENHlIwqdvlOF4YQvEgDF/jWCVvBryoVhsNNHKO+GCqCKv1p5JRJ8BsRgwMh4jJiSq97QlpLiQMSAWZHA0N6tiZpn0akfkbdyYHus6tEdsQCMFESQJW4N1OCY145DowQbuyfoU6rPE0M41Cv2VsOr9ChzeYba+2jgz0G5L0HfffWd5OGFUVBT69u2LWbNm4ZZbbmlvVDYiRFS0AyMmJuG81DSsfa/c8FbrTAgCjknGK0aMSglC9BI85NNdeyA7chIEpp8hSX/tgoAmCqBQalQ7fT1fB0g3mw0NG7rdXfISnYBDUiPSHOb76VgnaQnWXaQ2cLir/Cj4qhbFAfmwNYcz8nmAAEIziaFTlzXeRipryLSN5EOiEK0O9KYByaC5kEg4eqAZfQbLB71VlnpxeJsHnvrQDNupcW9toNGnRQ9lWcgRukiVAEh+1rnU7Gshx0hEKJWa1aWenWI9nCHfF15+lEhNnNm1lXKhKc5ybpnLyxFyX6877kNduQ9eUcQehweyN7KWHrPlSLFMaHGLXgkBCXA5BQRFwbTco+cl6L7n+aEoIay1Ur593kukhhuXKsPVoPVitS5/tPR4yKfKQQDTrrxNIiobvCAI6CQoZ5XJ32slpHyr2WO8oeVYLYStq+XkRXfEKLUAksRXOLr2ikLVIa9FuvQcNWlY2vCWGT59a1Y7GTvEenQXYtFAfjSIusucASYO3rKfutQZIKz9uAoxsQ70Hhj5VUo2Tg+0WwmaO3cu/v3vf+Omm25Cnz59AAAlJSVYvHgxbrnlFkiShL/85S+ora3F3Xff3W6BbUQIAeg3Ih6pK6JQV6WczquZ/ZWOr57k+8bMM3EwdM3kw9ZgvSmS1rqZ7WI9/GTebtxErC+Agk1iHZopiEkuRekJddZhfTfCOzFqfgaGrySAIAGOyDpMXrzhwrShlqXbGqxDflQ3XX6bpT8sNiLToXWoteV+dO4ejYNbPVi/pAqNAcWnStD8qCCoA5IGTQr2mcXqkMUr39UVDiG0PBaMfOuvogAZY+UNSGXUEqLRD7ks5Itx5aMbHLodecrhn0qJO0Aqa+24KzJtW9ZymF1qUsLVUClEK+oVdBZ65UWBlW8Mb1KxOdSOlDCrA0N5CJKSF3olSLNCWdlS1LN1BAIgqic182ugXCraDe6a5dCYNgAqr8IdjSYlwNcsIuCXTPmsQN7MoKkc/JbIm5QpZUC6r7V3inTG2q99K7/xk4igEK6cBQiWZcti68o6Wwk6A9FuJWjHjh3YsGGD6Sb5e++9F3fddRfeeecd/OpXv8KFF15oK0GnCCTJSkPQL6H3gFjZGbLFrLDIM1CJO5aT4VeBqgCRgco4gLO/A8TfUi6AUG9YNhGgXd5ab/ADKSFrx01tgOTvoOEpQPpvZQdkh9rZ8ah5vio8+DgdZoXkRYLBr8kB+aZ5nh8UAJRKzYwSBADHi7xYv9vshKtZIxRF1zjE6xFemSylJmQJ8RxlSolLGzZZqwhLrw3UgkmKILFLQbx4jkteZDriEae7eFNfzoxqqWYhz6lWey3LIelk5VkdIoMxjnrJb3KcViwrepnD2+cii1Mw8HSoz8bSJYAk1R9HsUo5mfJid1Pp232J6NFdn2NWVuspIGtXoXVHMUAo2d2EPd81IK1nNAq+qsG+4gYAQLTAG2oIhyQPBjgSTbKw6Vb+sudOaVdu6GuhMb94bVmm1vteWcF80KuMIrEJfkjIdiSo9yHWHPejsT6AxE7mS4ptnL5otxJUVlZmUoAA+R4u5SyhTp06tenGdRtth69FxLZvarC7oA5igBArOBC7grBXrEenbtHo1SsGRw9Yr1ubOwb+jIz9JVMoSylGJ+BwlhkA2GZwciR1icAoA6FYNCtB/AFEU8wEQ2cPyH4rlRKrYCl3crGGeWu1KRCm05R3ZrHf8uaR28R61EmKkzCfn7w7TXvX1BCE8f5LiQhHQ4fzGX1q9NahcMOt/rtKyYe+IeVLr8gYv2CtA7zcotCWZu3ZrABoS0I8+arIhz5CPPytKJ4K/+NSCwKQ0D205KMpIZqFjLXuhLeOGWWVuTm4X2wT6w2h+vpnPDRSk46t7+ygbLRwaHLoIVO4DXexBUlEFIAtYgOiBYdaYuaSlKB3DdXLY23dUqIm1JIPXYRo6H2YCr6shroaquPLsw5KUHZb6tOuLNOzqXfo3rPtWu/WbhJSfa/UAaPNrJKaYc4Zre/g1W5llyEBGOzUDqz0t3K9j43TD+1Wgurq6rB48WLTydCffPIJamvlg7W8Xi88Hg/naxvthSQStq2swZ5v60EExvkRkM37dRV+VNUovj/GThhMuGYCNoLle0xqQSdnlPqO8augABxwIZLLlbVOhrBBrFEHRoafabDgSaTtPGEHEZamwLSkp+emtwwYLT9aJ+0PHeevxWrFy7pD1BQgPgSQYScVL/VySCFHQVSg+NLIA4422GnDh7Wqqh88SF1yMS+ghCtmfX3SLyLpB1irnDosNqGPIx5FotVOHzbm/aEluRRXlIGCN5DpY+VbDJR3rIpidUGoJpvZBse3yOktOnr7HfuFcYKhoYlEiCRBBFCs8+0TQNgputFZiEIDBSGQOfYW5joO9i1bznwo8tSSH9EkGLakE0gy5oDGU2DyiRcX4aDoUen0OaKcFWRlMeJLLYfyDogEAImgKuxttQq2qMv6AgQHkJDStlvqbfzwaLcS9Mwzz+C6665Djx49kJ2dDUEQcPjwYZSXl+PDDz9EbW0tpkyZgkmTJnWEvDZ0ICJ8+0kFineF25kg94CSKDGdhAAR4Tp+drgzdy1uCkAiCfJGJW2xAQDWBWuRKkSFtogbhy0zL2V25iNjx8zvtJQu0LgExNKa08RPL1/B4s249fHyOlvjcgJrCYi8czRadPQpYPNEr7jx8xUqBamKB4X5RkG15MMxqSVEKSFIRjuF9eCsxcnKIhsHtLwLp1TwlzJ4CoJ5SUPkiNSqVYMLs41GgP7EYtbyIyuNmmeWlfVF4dN6XIrsIuKTnWhxG32HCOuC1UhhTl2W+TZQIHT/maJcaXZBL4molpTLYVnl1GrZDiD4OGVeRwEcC3p1vNhfCkQQJ83G7clmObTSNVqHw1s2yVA2BsMUF+x1rXy59BYi+RtJ9V3rOzQRMXG2EnSmod1K0OWXX479+/fjH//4B/bv3w8iwk033YRf/OIXqqP0xo0bT8oN6mc7Kku8lgqQBO3cGw2sf4zVrEleaxdRJxnPWdHgIxHfijXIc6YgxrBGI0D2F1A6RGNHq6djJdEkCzDXU/CVIcGwhMXnKTthS4BuV5fWwbK2DLMFx5xX8oBiNetU0qq3JimH3Rnlt7KjtDYbtbIW8Gj0IfqB3GpAaAntCNqpW6q0UjCtuJj9O9j85DvY6gc59ln/ZPwbzo4VTokPZ1EyhlrbkPSDtvxspbwJzDuzBUqzRAiG72RYXaMiQLu3yyw7v701kN+QP4BWG9kapfcBOyC6mfQJAJrVPia8MhzUXXJrVFCOSC1qKEE/udF4EPhKlBlaOhTVT6uP/KVXYz1V1EaWIvzCslO9qNrGmYYOufQkMzMT8+fPN4XX1NQgLS0NCQkJHRGNDQMObmlg+lSPzpLiJwnfBWvVZ62Thi6MXfrSz59qJC8EnVMkmO/l/0Ui7BebMNKZAn0naB7CNEXAuABnHNCV50Kded94TL7SsbnUwxJ5PDXJNwbrAADnuLpA35lB9xXvfm1jN2hU5Yx+Iso7gfOtkzn3Rcl3nqpCTD4Y5TTLxs7cBYbOyhZh3lGjQDtBmc0PNp+1MjXuymGVQ9YiYpZLHxPpvuYptvpyY+sjT3nQYmF/a3YGrcyNtilWITDzhS4+CksvY6/ogdOUJn2s4ZVG+VoMERCculf6vOWVP19NrJV88AvscRXW1jw23AG2FHn8WYXKTGOsc7VSAAJzPY+xfSpKIkBk7VulWWj0MUtcGYzg9UP6t7y+Uw8lvGRXIwaNbUG3zDgLShunI07qUZfXXnvtyWR/1qOxLsi02E2Mv4t5eG0LdokeQ4dChmf5VwMFsEtqYDovrSNkZ5dyJyWBnRnrJdR1lsT6+OgHQsHUIVkpB3q+hNLQ+TRmmPOGl1usFYOYMKN/g95KUiZ5cVBsDJ2qpM8TMnxvfR2HEtdhsVGnqBidv9l0I2xYa1DkY5d3NFlYnmz8PKUivAzycpmyc0vj30RBg5LC1kf5O75iq5fAWH+tW4NZCTPyM+aDtQ+NXKYVUgvK1EMaee3EHI/xvQBAINaPytg22O+MYVpdaaTwDvkKvdUzrw3wlSHzc+vLp9b5sUms53zF6w/4MpjfG+sIG6fAyVsj/Abrz/5NRhltnO5otyVo27ZtmDNnDrZt2wa3290RMtmIELGJTt2MUm8RsPJzUf7q58Ty/gxj567BegakoE7dbcUOfrxZoVmicIOy8q0msXHw1bgo8znrDvFI6LJSLUz+ppmCOBza7aHkB18W0sXF8takYcO0eMyWAm3wbG2JUkOp1Iwjqq8OC/Nyi5UlyFgHtPqiLCHo5dag3/ElMDTWSxVWAw0fxsG2IFijq5vmXOKXuPUAzlfA9BYdzXfJil4L559xpLzXln+sacNbF1iFWl9ORtlYa5oWP681yGWo+ATy64cVtC+M5a5fbpVQJvkR04onjn55rHVJKHR8htK/yanVHwqptzdpf3kcjbZjoyLHfmO0eOrRTKI8YQsdE1BfYTwt3cbpjnYrQbNnz8aMGTNw3333ISkpSa0MRIQ5c+a0W0Ab1sganohje42Kp35WylorAH1XYe4I9DwEA4XSVfGWDsyzJU0h41lstM7Z2AHxOjIHQ6OXOcCkVe5w+R2WURZW1u9Dy4bGu5jYNPJm2uyTeZAKpxwY06Nx01QZawXGih//mVfm8mClH5z1Spn+3jhtqNIrnUZ52PIUVauFpsjyJOTLa5XDRmVSS5eok7ROZ+mwVgxZaYzWBKulSlYiXn7wlMJIlAyrtAHeiH1N+Mu6Cl9WwdVoWlO8+bIKJlmVFtxMQezTHZ6pb7v6XkT/vV5yYzxs+9PKKZxNT99TsXXTOBFRuLJLuXpLrRW0vBQhhOyRrmj7HrEzDe1WgpKSkvD8889z37344ovtZW8jDJSTffWzM30TZ+dMeoXBbKmw8q4wek9oMfKhDZl6ei3EHLvxHUulpchMs1t3m7250zcP1GwHLIealSuFNtzda/rBT4tFc25tbRu1WcW05s97Z5aPzXdznPp6on1j/kIA4NJdDhnZQMCTtHULIstDKxWWE6uQ85f9BARJOzX5aMjixw6E4HwXuZzm5T+9PKyjvHkpiV8uRvkEC2rjJb58Ky97/o1ecbSe7Bjl4VMZlTy2FbGKJAB41W3jiiXIHK9Z+Tcr/Kx6xf+Ob+0xth9WgWLVYbNSRDpaHgToe0t9GKFnP/s8vDMN7VZbR44cierqau67LVu2tJe9jTCoKfOqrZCdHWlQOiarJRSNTlIbsjKA8JY6WP8HCeYj5bUOiO2IzTNTvh8Hu8Yv/+bHocRj5McbhIyy6Xnx80XSvWf5ibp7n/TpYRVNq86/dcVCL7c+vx1qGWnlZY5Hy0NjXkYG4m4x59Hxf+tlb52HAxK3bih/HYZBnM/TqOBr31nbnyhEp8lqrBdaXrIIr1RYhfGUN41fpIoKPx59mws32YkMfEXDmi/AtrntYqMu39lvIrdIa3Rtk9s8oeH3PTKtbP01OlDz4uT1hdpf5V/5Ifsi1TMNHWIJGj9+PKZPn44ePXrA6dTOSXjrrbdw7733tjcKGxYQHALkS4H0TZa15pAhnMvHQGVNqafXnzukdRC8mTc7e2fnYgLzrbVvQPglIOuZIMvDKj1mq5EcJlnGqsmkKDXsnNM6//hWGT6l3pmXdxeWeRFBb7HTx8PLC/OMXw7ZJymHE+p9oHgpinTA1mgFXU4ZL8/Vy2AcHK2sFOzXPNmMdYpMVOHqhVWs5qUxKx5yKWm+VDzrj/Y70hzVW2/1VhR9+YP5zU+pQs9XNcwWD42n8jd8v2L2YTJKqLeoKW+sbm3Tx8+f9lnVBXPeGh3U9d+b08RzBOChtsyLmmMtSOtl7xA7U9BuJeiNN95Abm4uDh48iIMHDzLv6uvr28vehgX8XhFVxcq6u1G50EMbEM2DmfHZ2CFZQ98Ftd5hGWnZWTvbYZuHLU0pkZeBtA7JqvPVD4Hmg9NYKjZ+4yySpeXlndlfSHtjTpv1sx5s6qzKQ4tDr1xo35iXkPRf6tOglwcoZ64VsbZc6IcFdklVHsiU71lPFIJZWt6gwz5pSh9vns5+bx6wzc7e7FSBpbOyd1iXqfLenHZ9nKzCr+dpXJY1lpgx3covxadLL5fZmsJTAvQKocxBf3WF/nwd9gu23MO3f57/EX85k02xdiaQ8TwuqzCWD98nz7qd8+TV82fbofnLMvKhtxAr0whARVGzrQSdQWi3EjR58mR8+umn3Hc33nhje9nb4EAUJXzx98Nodiu7JTQYO2p2oNQPJDzwOhS2mzUPYMYBF7pY+EO8eYat7yz1b41O1+ZO3noAMPLX3uuVsXCKhtLpmTth83KYOX3EyXv9e3N5GFWJSGA1SOifzfTmwcSoOBjfEROLUa3RD7ZanpkHS20gNNaL8Io3XymMJKfY+mMMZ/kb32mxsPuQjLzl/NDO1ArnEcaLX+9hw1OSBYaOvfDUmDfKb/40gcBKrVGwoeZv+fSsXDCEsfGaZTa/Y9srXxHUK5IC89usxPD7A3PdY+uq8V1r2Cc2o7cjVosl0sZr47RAu32CrBQgAHj33Xfby96GAZJI+OKVQ2hxByFANhyb78RRGjWvg9TCeAMBf3Div9PHZ+z0jL4Jxvg1frweQy+jeUA2yq9XOvQDRqTvwZGV7ZDZGa21esfKz5PTymdD8SnSfHnMvPjPRrn0ioZVGbB0PPAsAVpaWBnNZWKsY1Zp4g+G4RUbdmg2hpjzl5cPfGsErw5oPlj63+w9ag6DT4l1O+EN+MZUaXnFtg8lPJzMbP3hDfY8nxy2jmtp0stqlT5WMW0tP/V/jW2E12aMyrVV/8TLT56vmVWrtWoDPF/E8BoOEdA1w7YCnUnokP18GzZswOzZs3H99dcDAP7xj39g9erVHcHahgE7V1SgsU65MRoACFWSH6WmM3AAXqdk7oDIEG7sVMN33tociphvzM9m6O0UPIWEP0Ab5ZXpWvMiCP/e2MmztNphfEo8VoNo652sMS9ZBc3KCTf8gKHx5Q2S4eWRv2EPaeT7Sig0VgO0/q/V+TmyI7TxGpFwdcQssyab4tSsyRyJImWMy0r5VZ7NdHxlwkhv/EZrJ+YlIWsFgp20tJZLkZS9oiDon8PnQTjeBJ7CbKQPP+Hgg3Xu58GsOGkKnbmOhu+FzO2OPZgy/MREC4+OdaCrfWL0GYV2K0GLFy/G9OnTUVtbi7179wIABg8ejIcffhjvvfdeuwVsDZ988gny8vIwZcoU5OfnY/fu3WHp161bhwkTJiA/Px8TJkzA2rVr28QzGAzizTffxHnnnYdp06ZhzJgxuOOOO1BZWdnhaTNCEgmHNuqvwpAgEmGb2ISDYjN4MyezJcPcUVvN5CMBO3jzZnNGep6So+/szLw0mXmDsxHmTpaXF9qz8VujvNpfKwWHNwtmB2eWf3gLDWs90Ycrz2aORqVI3/GbB2v9gGFlEYQhTIC5fvAsUPoBpbVZu5UCzFPU+fnP5j17Ijc/LfzBmFdf2DLiTxKsEL58eeFmZZbXrox1zdh+jPGY08VaSK2cg835Yq30WudROOXByirEyssre6NyZZwQ8fgZy1P/VzCE8WW2ip/lD7icknpWno0zA+32CXruueewbds29O/fH+eddx4AYOrUqfj6669x0UUX4YYbbmi3kFbYuHEjbr31VhQUFGDQoEFYtGgRZs6cib179yIpKclEX1JSgksuuQRLlizB1KlTsXr1alx66aXYsWMHMjMzI+JZXl6Ou+66Cxs2bMDIkSPh8/lw6aWX4pprrsGaNWtOWloBwFPtgxjQDrhrpCDWBxuZDkXfrPXP5lOOJej9C9h3/DCCBOgck/mWJ0EXph+irRWOyGZs1sqbkaeSXk0F0KdB+ZbvtxR592XsKNl0m+PV/GXYeKycNI3Pxt0p5t0q7ECq34fFKhTmOLRaYpZDU1yUX1b5xQ5GRk8Xs/XOGKe+DunLSi+f8r/ipUO6uPTlzpPNnA8CWIdg3nt+WsMhfLsz0vKU5Mj5W4Ov4IUHXwFW/rKlwvfrEnRlpMiqfR+Jt5Q1WGsamFJn6Xi/JSYVYHhp5W/sP5Vwlh/rIafIJoAAsm+RP9PQbkuQ0+lE//79AYDRgBMSEiBJJ/dW3aeffhoXX3wxBg0aBAC45ZZbEAwGsXDhQi79Sy+9hMGDB2Pq1KkAgPz8fAwaNAgvv/xyxDyjo6Nxxx13YOTIkQCAmJgY/OIXv8DatWtRVlZ2spIKQN8U5fXuvaLX9MYIvtle7jr0yzzhYlPidEDzFTBbJ3iDhr4D1c/q+Ms+AvTytpYGs5z6WaOVpUOb/ZrPMDYqWfzf2rN+psvOguWONbxyZW2J0EOfHnMZ8hVBXt7yZeDFYyWj1fdWZcP6z5h9dYw8+WXrYAYp5RvzEolZyTHzDZ9XrPWULU++hcG6voSXlRefwk/fBszx6Oms2q0+XtY6Zg2NL3/Z2GzxsKoLvHbLS6vy3niIq5mGhbL0bb38xmtXxn6BDTPGF8mSsqbwkU4mILWnvRR2pqHdSpDH48Hx48dN4Tt37oTH4+F80XH45ptvMHbsWPXZ4XBgzJgxWL58OZd++fLlDD0AjB07lqFvjWe3bt3w6quvMjxiY+WdAX6/HycTSWnREARleNU6EFZ50PtuGJUPhGiswQ5Y4Tta/WBh7kx4nY3+2apjVJ4j6eT4shD4nR4AgyxWyol1HpmX8ATDO/MSBjjhrQ3+vGUPXp6a5WFlYeMwlm04xbI1JZDlLxjesUsvVnWIzQv+8qiRNrzyxytzc5p48YZT0PTP1m3CbGWzGnyt7CFW+WymMeeZ/nuzEmVtAeQt/fDqlFFicx5EphSGi5tXXpH0QWTKb37d5CmzbDx85cosg6z4SLp/8inZA8Z3DiOrjdMR7V4Ou/vuu5GTk4MbbrgBpaWleOKJJ7B//34sXboUb7zxRkfIyEVNTQ0aGhrQvXt3Jrx79+7YtGkT95vCwkLTzfbdu3dHYWHhCfMEgO+++w55eXno27evJY3P54PPp12udyKXzTpdDiSlRcFTLfPRN/jIjMz8zsQBmI4F1AzEvJkpn1ZRzViFR1C5sB2e0rVad5bhtq2yb8ggg5HSahaqXzLSf6unNy4C6DtS7Y02kApQOlPlTbhOWM9bgD5nFAnMiqa2DMCmz3rQ1tRDNl7S/dbHwcIqr42yGgda0v3mwSiDNS2bB+YN5VaHdLKlpM97Iz1fqdBzMyrQ7CGARgWAt5xmDDfKwxu89W/55Wt8z1dezXXbPDExwjpMaw3aUiQvvVY89DJqy5Hh6qD5O2v++ndW9UL+xcptrOdm/tYTBwGAEyJ8jSd3Imyj49FuS9Btt92GhQsXYvv27aitrcXLL7+MsrIyfPLJJ7jppps6QkYumpubAcjLUXrExMSo73jfhKM/EZ7V1dV488038corr4SVd/78+UhJSVH/ZWRkhKW3Qu9hyQCzxMB2qa2BP8gRw89Mbz3DjIQ/+224WZ3Gg2+94lscjDu2eFYW/hIcmX5r/Fj1x8xXrwrw5BcY+Xm0AkNvjEM/gzdaeFh+5ngUXuws1qhosHFJXBnMPFkYLYfaQMub2bPfGWXQ3vHjlvnz6o9ZCWHDzRaCSKwWCh1v6YkswpV85yksVuUEmMtVnz/m5R8CDLuXIl3CUdqK9XKSQmveMWilZPPrHp8vS9N6f6KFt+5awVPIrfKbXyeM6TXX4XCTNoCwbdmxkN+mjTMF7bYE7dixA3369DnlW+Lj4+WL6vTWFeVZecf7Jhx9W3kGg0HccMMNePLJJzF+/Piw8j788MO477771Ge3231CilBdaaM6yMpgrRYs+LMztmGbb3rnd03GgZ8Xl5Fe6VgEQ4z62bz5jTVPo1S8GbgVb1kKtmvU+OutEqz8Gl/9vV88Kwos/4ZLl7X1JLwlxWpw4fE0K6AaFZsmbVDQ7Cf6PGBLK3KrghY/b36uWRT0Kr1V+nkzdr2sZkn19hRzDTfLoa8rgD4PjM+sbMpBmma+Vs88Cw2fjudsr9XPcEOzRm9V+43PeomMZcbGrM8DnprIL3PrvkOwoHeo8lv3GUrZa3llzBX+Rbf6um91vnz4eq1xl0TC0d31yMy1l8XOFLTbEpSbm4uXXnqpI2RpE9LS0pCSkoLy8nImvLy8HNnZ2dxvsrOzw9K3hackSZg9ezby8/Pxi1/8olV5Y2JikJyczPxrK7yNAVQWNuk64PDr3ewslp3ZGGdBRhitExqt3M3oLRSsHGwcGj/+DFw/Q+ZZf8yzd+Ms30hrxZt9x7435olZbmOcPEsCf6ZsTLs5v7V49YOt1UzW/J1Rbv6zOY3hnWuNvlzsN1Z+Lfz6qOelnyUTeBYoayWFD3P9NNdfvWy8/NHo+HnC5p+WfmMd59V5Nh7eM5lkC5e3rbW1ttFYK2j6MMH0ngzhCp1xOZzXrq3LhF9mbN4b09eacmLkw/uG367N8rYOgrvS2zqZjdMG7VaCJk+ejNdff70jZGkzpk2bhoKCAvWZiLBlyxbMmDGDSz99+nSGHgAKCgoY+kh5/uY3v0GvXr3w6KOPApCdrhXfopMFX2NQ17GaZ6FaZ0EGOnMnq//KCKsGb+4I9b+1JTXz9wR2cLE2K1vF25r5ni+nWVaz0sbnJ9NJut+8eMyWECslis1/o5+PXgarpS8jX35YuHwyx8Uu2fHrBW+w46E1W0Q4GY3vld/6esNaRXhy8urniQxu+rJhB+HWJgw8tH5ysZUyyldCjd8p4Clm4ZVvo2y8fsJYP6wUb6M8bDnzy86cptYVf/17K2WKldWaRkNr7SzcZMEMMWgvh51JaLcSNHz4cMut4Zdffnl72YfF3Llz8fnnn+PAgQMAgLfffhtOpxOzZ88GANx+++2YNWuWSn/PPfdg79696nk+a9euxd69e3HXXXdFzFOh2bt3L6677joUFBSgoKAAH3zwAY4cOXJS0xuT4Ao1ann2LJ9IYJyZsT4avFkyYGzcvEautx5psOrYzDM9q9k0f5ZnVJLMsrDf8DtKNt18Zc3qO/Nf68443AzfbILnh/Hy0qocePEbFUrrcrHmY3zXuhXAPABa1x0wtLwZPMGcy8q3ElpTUvjKiVEes3ysE7sxjYDxe54SEX5w1NqOgwnjy2St9JknD+Y6Gk4x41to9XHyZA+XF9ayWNO1XgfN7cDs82jVV/HitVKa+W2L31fw+oJIFCEBnXvz3TFsnJ5ot09QUlISJk2ahOnTp6N3795wOrXDonbt2tVe9mExbtw4LFy4EDfddBPi4uLgcDjw5Zdfqgcler1eBAIBlT4zMxPLli3Dgw8+iOjoaPh8Pnz22WfqQYmR8Ny9ezeefvppADBttz+ZjuAAEB3nhNGvRR5izYO2cYCx6tgEJsQ86Gjh+tV660FTr+CwR9mx6oCRjyaH3qND+V7/HdupatRafihvjPEIzBeaRPw80KdRo9NSbHzPpst8GapeBp6cvJOWCHqpWPn1MrRWLjwFSU9vlR4tL1jpzbnB5qlV+ZvzwJyf5nqscdUkdphyQOPPy29ejNa/eXXFmEYr5YcPMx+rONnfVjlurCfmdBrLwBibdT3S0sLvY4x89N+1fjgkv7+yOuzSmHZjPwEDDZsiswKvP2KUX7Z6WXn9W7gDH2X6qJgOuY3KximCQNS+O29TU1ORm5vLfafsGLNhhtvtRkpKChoaGiL2D2qq8+GrF3dBUQU2iU2olUQOJa8rDYfwNK1zsKbQBj/z+9ZiVQb+1qAfLIwKEk+pEzi/+fJEEsIOJzx5jQOXMU/YX0Yu/NSx1OE5hJOdF4uiuFh9a6xd5rRpX1HohHFrsMpi6/VMkU9+liDAqn7xvg5XH4whbaW3+iaSd+HoW6unbUm9NU9za4m8rZjzzJo+fLvm5W+k/YCZF//LcOkKz888PVBwYVRKKJSQd1UmMnIid4w+kbHARseh3ZagyZMnW94kf+ONN7aXvQ0dgj7RNLNRfstoi8pg/M17bx4O2IGPNz9keQuGt5rs5rmd3mbAG4aMO3aMMvJVHiMtmxajrOZv2d+s3Mp32lkn7EyRx1eLl2/9YWXgWQR4M3SWN59ruKFaYP7yrkXRpDCf/aT85g0TksqBL5eki9tq+GTf6sPborpb1Skr2XjKlQBzndLHZ8wDPS1fxWg9fqv6Y65fmgyaMsvWEa2tKE+89maO1yyDVR3T54MWh/lQUb6azssp636ObRlsG0RoR5n5W7bOsvHzeVulQS+x5j8Yk9DuYdXGKUS7S+u///2vKSwYDOLrr7/GokWL2svehg61xxrVTs0BoInYKyysVBKrs1WUv/oBVqNnO2aj06M1f94gYIzH+ls+P3aQJl04nxevKzXCmFfWgxvbFWr5JlNrz2ZFT5mNGocd4y4iVirj8qHRGZ5/DKOxjHllrknC5pVxMLHOO34e6GUyb+UG9PnAU0z5ZWr8np824oTp3/HSZx5M9cqfPsw8iLLP1nWDp6gaWwBfdsEgBx9WigC/D4Aqh/FeNvmvmZ44bzTObJkbpQzXNvl0/OV2ls7cT2m/wf2O/6352VhWbP9hVQIyjaEeOAV0yTLfW2nj9EW7Fy8vuugiU5goili2bBmuvvrq9rK3oQMFCXKjlxuel8y7EATmr7kzgi5c4IRp4VY7mIy82Dj130SihJjl4PHjxy0YaKzSZ1QijPSCidbsAGyOw1oufZ6xMhGM+WnkFy4+828yyK6VG69MeHEby5n3DwwPq3yxqmvhnq12LSp5ZYZVXTG+N9ZFvoJnpXTpnXLNSri5Dmi0bH6z8fEcvc35y28XxvIwTg74srGHS+rbAi89PBnMZW7Vbs3txlhnYKDn0fHSFF5eM204Hsb8MaaZX2f4zvEsJ5lm4ORucDjD93w2Ti+cFA+umJgYvPrqq6ivrz8Z7M9aJKcruw70A5qx8zA2aHPnx9s1xOsg+IOR1eyV95u/PdW4LdfMn+2E2YHWaIFhYd2x6rcD8xS71q0gbBzW7pHmLc8Uhj7cPFN7z98WzosXXDorJUT5TjD95g3iRpl4MliXjfZe5mG1XVpQ84s9FZmFviytlW6zEsEbrPV13SyXwLk0WB+fg5MfxjZm3j5uVj549Zb91qjc8+PSp4NNGwverjqzksDWByslMHz+W/VHVv2Lvr3w0qZ/NsvbWlu2UpzDvbfixdJI6JObFobKxumIE1oOW7hwoXqr+rZt2zBt2jQTTV1dnen6CRvtQ6de8WrnYDZdC+qzZiZm98sYlyo06LkZzcXGN3p6IzfBFG6O00zDjzN8Z6f9FTjhRul5qTYb+lk59HKaKa35smWghem9JForByMvngzGdAsGepi+EZg6wcbJfseTRzDIzaszxnI00hjzVP+bLUvtrZHWSj7es55beFrWkyZc3W8tblZeY53Wt0mr+ifHaVUX9HRW9dIMc/myecr2GzKtvlTM9VmjNNZRnlS8ZVJj2gXAEKfmf8Z6ohkXVVklyyhruDTz+yyz9yGpbzQfNj2cCAIAAi1BINUe984knJAS1LdvX+Tn5wMAioqK1N8KHA4Hunbtai+HdTCqD7uhdANWZ8Ow4M+I9B2iudOB6RvecfvGrsOKJxunkS+fDzjvlbfm7fZmBSFcmngqGX+YtVaijJ1guHRo77RulCejOcwYjzF9bEx8ny2zKmcc9CKZAfMGFSu1RC8vb2DVvtdz1Q+41spmeLUpnIponjiEy189Da+NWand2ne8iUr4uJRQfrti5eApKfrvreK1Kk/B8Jf3jVkhMisjPMWBJ4NZGQq35M7v43gKkVFmc/wSYDq5SaMy5rW5zlhbvBQnbH9LkPPWxumME1KC8vPzVcUnOTkZc+bM6VChbPDhdfu5Mx+Ewsx7K8w7pvTvtJmbwKW1+sbqDCJzvCw921Ead1sYwdspQtzviJmdCbpveTzNwwRvxxjbiVsNNfpvtDRaIdwSHvubXxZWCqp5R1L4HUUOLpVx4DbmqFkGI19eKYZTsljeilJvToeVsmas/+F2ekVW33jf6Ol5arkSrj1Z7eoy8gwnU2u/eXkQTplR4gPYFmy2tFn1BeY2Eu53uL6HzUuNTtlZyatTrSloZlj1Z2blT9/OBU6oPt/Y8tZD7oOKvy9Ht34pXIlsnJ5ot0+QUQGSJAlbt261zwc6CYhJiDJ0EMbZkTlMo2XBzmiURq6fdel58ZUubeDhz9b4gyLPwkKcf7B4p4Wzfk5GEENjHb/ROkEwps2YT8Z4jD4ber7W3xr9NYjzXbg85slmjp/Pl1eW5nTx8sJMr/eX0Su4Zh7mb9l657CQnedjxav/VsOhtc8MXx4tDfp8s0oTLz16XlZ50Hqes/lpFWf474zxaYO9Vd2OvH2Y5ePltVE+DeZ2w6M11sMThWLF4ZW3ZIqPzScYyh4qL+WvIxRWdbAO7Tx6z8YpRruVoBdffBEDBw7Ed999h2AwiKlTp2LMmDHo3bs3/ve//3WEjDZC6DaoE+SGKcFhaNRmRYAdYKw6bcH0LX/wtnIqtuqUjJ2G0qFonUv42SzvN0+hMDoc852DeR0wj69VfOY4lTC+RcH4jT6fzQoJP162XPX5xuYfWaZFMLyzHjzN+RHpYGOtSPAHeVa5Y+U3yqGXx0pengJgXea89JtlsGoDbBj/mc+flcEqTVY8wllb+PXESsEAQ2sFXplGVh/M+WncjWZUZnhWH6OcxjYQTkmyfmeUU6snyiBobj8szPXVmAr5nRiw7w47k9BuJeiDDz7Ap59+iokTJ+K///0vtm3bhl27duH777/HU0891REy2gjB6XKYBn2A7UiMihFP0THzYDt53kCkvTcrXWw8rM8Cj9ZqwImEXovDPJM3ps9qYOeliycHT8GwykMr5YHnSGklm1Eeq4GHt7suksHZSg7eYG+UU/teX8eMCpR5QLbKd+uy4A2Q1vKEozXys06T/re1gm7kwa8b1nlgJWNr3/HojXWR5asN8gKn/RvTYVbSrcvPHB6unvLl5ineMMlhzVP7J3F4sHwA67aqvLOuI8T91kppVZbLKvbZqyBnEtp9WGJsbCwGDRoEAPjPf/6DWbNmYejQoQBg7w7rYDTXew2NkD/bBgDW90WZZbGzGAd4u5T0MzJjB8e7g4hHp1HyD/TTS2F+p/gG6OW26hZZecgQIliEm2NnBxJ+Klle4NBosgpMCI+XMT2txce3OpllUtKil8Wc72we8dKkrwNGXoKOIpy1xVzO/LIFtHKH+hdMzHo6Ng2C6Q0Z6PQwKo2shwyvZgocWY38eLz04dYDpwwH+CVslt3YIq3fQZfT1nWV17KMdUNPZZ1eNu+srVtavQlXH3mSsTRszdX7FmltLvyBojDRs+3BmA7rfkhPU7a9Gr1Gdm2FzsbpgnYrQW63G42NjSgrK8PXX3+NdevWqe+8Xm972dvQ4eiWSrAdG4vwzZ0M71kLCulorLtvpWMxH8TPDmutKWDhzf/8v/r4jWlgaczvreLk5QEbD38A0cdhpDN34vw8NVtdWsv31mTiP/Pzw1yHjGXPV/Z48Vupl1YHAWj1x3qQ5tXJcPnGDnzK7/CDMQt+mUdel/SyGnkZ5WTlt+bLUluXvTkN4agiUdF49YMXHy+N4fnweer7BnM6jeoVbwlc4OaNvq4ZZWJ5GOM0tpvI7y8L+OwdYmcS2q0E3XzzzejZs6fqDzR27Fjs3r0bf/7zn5GRkdERMtoIwd8YCP3SzL1WcxP9jLw1hUmGZJhJ62fYRj5ap8Db3srGTbow8zzbWn4jePdZmb8xd8L8GKyGSF5areajenp9J84bsI18rW0JbEyRzJV56kq4AUlgnlufHfOUTkEN4SnBZl58/ub3xsFNPyfX3rO7iMxlwA6WpPvOaDsxKlnh5ObltVX5sOC3JyPMeWiuP3prmbF2W7cPXhoj8e0zK1Xsb01a677COr3W+cVT1HgKkzGm8P5lRv6RhGmySDDXAD51TEJUmPc2Tje0Wwm69957cc455+DYsWPqFRoulwsXXHABJk2a1G4BbWhI6h4PgbmQ0til8xunNgDov1A6OMFAw1s+0Ycr9Oz3rCxs3NaKCW9LqnEoNaaT5WNccLMaBIzDlbZcx4+Dp9ywabdWY3h5w5OPHxdvWDOXi3kAMsvGlrvxO0CfD+HywJh/7BZwvUzG9+GsMcb3fHXOqvT5ZcAbpLT8YSVh1Tfzkp9ZWra+mtUp60uBjTLqwSsPvRIXvi2wyoFV+nl1w7qe6dNnVkTM/Y45Rwjhy0eR1qrMWL78a4aNdZDtS8L3K7y6Fk6xMeatFb2cts723WFnFDrkutuxY8di7Nix6vOgQYNUPyEbHYcuAzoZOgZjx8Kf1bMw0midiflrHj+edcJKgdEGYqVTN/OONMx4jquVjOb4NanMg6xME85mYxWX9TyWLSOjZHy1kMfbAWUg5M+KrS6atT6917zUwFsu4CsurLJlVY9YGVi52K/C1Vlj+bH1ypgGs8SsZYKltWojZnnJ8r1ZMTHz1uj5ihyPluWvlD+fLtwzL/9YmkjaY3i1gFeTreTRKyfmsuPTak/Wbdds6SNu/TSWLa/O8+qFvs7pl9usFSBAQnSMfYv8mYSTcneYjZMDb50P/C225mapHwT0/4wwWwuM/FlFxvy9sfPU5NHLoOfFymPFl6U3dlLm92Z+vHDjtnFzOs1pMMbB5wuVv5mfHmbekQ48VvKGK3tzXKzM/DjZOhV5eSmKuVW8rddB691M/B1/Rj6R5A8rW/jdTVayW7U/Xh3Ty8/LIz0flpYvQ2vPxt9t+dt6GCu/1XcstLI1fmeuTwSrPsi4k4sfp3U/YaQNV5fMvPQyEdh8UNInwQHAU9HE5Wbj9IStsp5BEJyKzmrcuqlZc/QzqtYGVO23/nuWRnMKNMYhGOK1miNZyaN8K5jkYWXkx8XOHMnEh/2WF6/2TIZnfhqMNFZyszNWc6mYL/IId6q3FgvfgmFOr57e+AxTOhBROszy8PLZ/JsPfrnyLQFa/ljJo699CgeWt55rOIXHWHa8vJG5SlDSqC9P8648s4zm89Z5g7hZSn5b18L4O/jCpd8oI3S0ZhnYtPDyxlw35FDjkl5kfQ8Lc92NvH7p067lixZmbqs8C5b+mW1r8l9nyE2BELo/zMYZA1sJOoMQHe9SO119Q9S6GCtTt76h68Os6M1fKt+H+23uNs1mflYJ4JnUeQNeuGUAfWfEUxbYcDav9J2+FjtffmXAs+ZtDtfkE9S0g1N2rafXLJcxXjb32eMPrMqBJ6uxFCPLV2N6zMMeT8nRvjXWYR5vs+JrrLfmfDfLbVQIea79VvVcRvhlKqt4tfett8FwMivvrVoOjwdfseK3M7NS2Tp/I53xZjtenLw805erleLPCzMrnta0/L5EnzaNm9nxvzUIALr0T42A0sbpgpO6HFZTU3My2Z91cLrk4nLojnlnZ3ZWMHeWkTVphZ5vnjcO5lbymMP4HayZxshDCxPAyqJ8Yw7TwvXp4YfreVrNXM0zQXOeaHHwyydcebDpM8ugLavwFFRjmVjxMD+z+c7GYVyCaH0gZGGUjac0h5dRAC8PeOkLr8wL3HJg06x/z69PPN6CSmuuL2xdZsOtZeX9tm5fVrzIIIOW1nD1y5jvVu3fSlajbMb6Y1Wu4PzWy88vC3OfYVU/eP94sJaptX6WkD40LQyNjdMNJ1UJuvbaa08m+7MOsSkxcDjl3/zOlt95WSkrbaG36oD4CoAVf2PHpvw2d8ytyc6TIVyHx1d4+MqCIpNZRl68ZmXJ6q8xLvO3UhsGJzbPzOXAU7TMeWqUiydfa+XLjz9cPeCnsa35xwsLLxdPgSbTO148VmnU3v9/e98dZ0dt7f/VzG3b116vve69rHtdd3sxNjiAwbRA6JD3CL8kQAglpDzqy4M8QgkvCYQUIHkktISSQOCFagMJtgH3jgvGdV227942+v0xd2ZU5157132+n4+9d0bS0dGRRjo6OpLU8kYmDy89hVzv7LOqTfrVFa8c+PtUqZRP74oHmRcRMp8ir4SRp+odoJKhXGZPVh5UYbo6FqFq8zJduY9TtS01bNoGLLTWxrWxAhx7aLMStHTpUpxyyino0KEDTNPk/r3//vvtwWOADIhBECuKgJ+1qmYq8j8Ccabrl04cJOQZmtohWmd+5i0NqpmxnjZfViLQ0vEv0vSPl8t7/lm2KKjieeFEiKNKz18gyspLzEcF1SDsx6tHW10fucy6RX79wlR5y3Lh81bVZa5tXse3XAb+26BS+9OVT64XPm9RCdHVpaek69q/yBOfXl0+NS/qQZ5t1yJ0/UUuf1V01DzK37UuP9Efki0L255ZBTHbt57rd69WZJ28jMwkpqkmcIw+ntBmn6Arr7wSs2fPxne/+10UFRWBkMwnTal0w3yAtqO1tlUxaHkOlyoQN5b92/PZ4DtJ70nu7Cn3ns2Xp6MajJ185VA2RM6bSPHV8di8IPHjxdHzINMW89Ztzyfck0iPl59ajirlxQnRyYJqyqqXllpOIm394MWXIZfBTtyszNLR5eanqHhv5DbnQV0WItHQtS9Wrur2p5a3+vtR8SW+86szmSfnlygPkWeVHFT5ifGz86TrE1T1pcpLLxt1eDb5eFJgFT39QZ+69LnkT4V8vDCD/R0KNl0fT2izElRUVIQHH3xQGfazn/2sreSz4qWXXsKPf/xj5OXlwTAM/PKXv8SwYcO08T/44APccsstiEajiMfjeOCBBzB9+vSDpvmrX/0Kv/rVr5CXl4fS0lI88cQT6N69+2EpIwv9FmxndqLa28GnVZmY2d9ipwjInbyct95QrMvPy00Fp8PhSyN2/GJ8llcdR6LiohoIVHl44Wrq6oGJf1apfLnwqXpWvRf3uumtOYQLzyYzMa6amj6dn1xZOjr6qvdsPYg8qBQw541OuebTewOeWlVXL52I/PLl5mmqysTm4IWzg69cd2L+4l9ZHfRPJ4fzUsy1zXgTrmzt0a+P8MvBApG489L49ztOTFGx0cVj68KJyypB6cwGeaC4e3BY4vGENqusI0eOxN69e5Vhn376aVvJ+2LRokW44oor8Mwzz2DhwoX4+te/jtNPPx0NDQ3K+Fu3bsWZZ56J+++/H++//z5+8pOf4KyzzsLWrVsPiuZf/vIX3HnnnXjjjTfw4YcfYuLEiTjrrLNgWZYq23YFoRSewuP8A9QfpxgHXHxetfDiETdcnMmpTfOyiiLmKeah510PLy+5kxTLp3Ya1sfTOf6KfGcbtOTlJZUjLr/8oOctu8zk5UG2LtRLDFQIh5CWlycvbzUfsszk8uSyJOHJjudDbfnUy0H87ZXBi8fWu+g0LJaBL5+KJ5k33TekbheqcLEcchx1Wjk/fX+g/v4IvPzZsvP148VV09N9L/68+8lV9y3KS/26OpWfDfjVpQci0Jb9yyhMpEFgobU2uDPzeAKhlOYyAmnxve99Dy+++CJOPfVUdO3aFaZpumFPPfUUNm3a1GYmdTj//PMRCoXw3HPPAQAsy0K3bt3wox/9CN/+9rel+DfffDM++OADfPzxx+67qqoqzJgxAz/96U9zpjlu3DjMnj0bP/nJTwAAdXV16NSpE1566SWcddZZOfFeX1+PkpIS1NXVobi4OOcyv3PXuwDsD++lZML9zQ9bckdFlSHqd9mQLT/nLQ6BtpNavfykz1OclbapUWfBwcjMjsv+f2gyzyUnb07s5SBaHdQ1pZalLgw+KcQ3otXNL7au7nTtLXt5eLnr08jQ0Ra3f6toHVz7UFky5BI7Mfxoi2GHo735STd7/yJ+123j7ODkfzBv/fNk/zo4Nxx26Yz7xgQUdc3dGnSoY0GA9kGbLUFPPPEEevXqhQ0bNmDBggV499133X+1tbXtwKIeb7/9Nnddh2EYGDduHN566y1l/LfeeouLD9hXfrDxs9E8cOAAPv30Uy5OSUkJBg0apM23vUApBaGZwYLys3R+tgvunx1OhXjZTdMqc7toYha3z+voqvJV8YlMGfz4gqIsqrQqfsQ8VTLU8a/iXaSrDtMrie3BozgLlmfKct5se1HRlWnq2wuENuCXrwhVPiId/lm9vVsMd/hS0fOXh5pHlaz8eNbVHZS/RauJeodXrt+Z7m8uYdloyPzLbU1HT64PdfvS8azrL/T9iFqmYlmy8a/iRQUnTqIh2B12PKHNPkHTpk3DX//6V2XY1772tbaS12Lfvn2oq6tDRUUF976iogKLFy9Wptm0aZO0bb+iosK1VuVC04mriuNn9YrH44jHvY+jvr7er3hKNNU0gQDgHVMJ89fpWJx3AP/JemGECSNSuNx5yPnwyHXgY/0iRIh8qMrCD5o8L6qtx4RLpwfR0PTg0WItHLryyb95vlieZJmINhRVXlSgrK47L626rlXylOUv88TScYZBUYYqePWiouU8i2XJ3u4cXrz6Fu01xCedmN6Jw7Y9sRWp2rFOXl555fbB10OuF64SZR05fOrLLsqf/87lGhTbqJc217oWeeKllkv/oKsrv+9azlvOU19G9j3fx2brRyiAhh0NKBvUKUvMAMcK2mwJ0ilAAPCnP/2preS1aG5uBgBEo1HufTQadcNUafzi50LzUPIFgPvuuw8lJSXuv549e/qWT4XG3Q0AHGuQpwh5H6vKP4O6z3IYG06Vz/KAqosr0tGF69Op/VuylUWfL5HS6XhRyUOWBc+XjraKhhhfT1sfrorvwU8e+rBs+et44n87W/v1bSWbXHLhJze66jYjphHbnJiGh7odybT92qt/vfG0/PyneOVeTCuG6couhrFps7VPPg/5mAOdnFlrit/3qMo72zeQLb7Mvxyu+66JIp0eBAAxsqlKAY4ltMtevq1bt+L666/HKaecglmzZuGGG27gnI0PB/Lz8wGAs644z06YKo1f/FxoHkq+APD9738fdXV17r9t27b5lk+FRH0C2TtT/p3KYsF2Rv4zLnmpiw3T5et0pqr8dfmJ1hy/bkRvhYHQ2frTEQcV2Vqjy08clLLx55TJKxsbR6wLP979B9rs6cU47LPOyiLLVC6HTEdctlLtppIHLnkAF9PrndjVbVwNfhmXzzuX78MvrTzoixDbDi/PbO1PLSO+HeitHbqJDc+/6llXnlzajgqyjFRyUyt+vDLFQhffX/njf6vbhj5PHh36dfQND3Bsoc1K0HvvvYchQ4bggw8+QKdOnVBWVoaFCxeisrLysB6WWFZWhpKSEuzatYt7v2vXLvTr10+Zpl+/fr7xc6Hp/D2YfAHbUlRcXMz9O2gY3sxLVDIAsePRDw78b3Y3i58iofb7YPNTdeAiX2DiQpNG7LxUPPF5Zx/wxbJmG9zYcollUMnHf9ARLRVqHnWKkEqh1JdJNSjr+M7mX+M/uKnei+Xx8lEPpHp5Zm/jKn5FiPTVcdXKPoHXKv3rWmeJEdPoJxUq/xhV+xO/E5F2NlmpwlRy0ddnbv2AioYXT7a6qOLq3hENH37fqxxP7lvEfP3LobBkUftfUbdgi/zxhDYrQT/4wQ/w6quv4rPPPsMLL7yAF154AZ999hlefvll3H777e3BoxazZs3CkiVL3GdKKT799FPMnj1bGf/UU0/l4gPAkiVLuPjZaHbo0AFjxozh4tTX12P9+vXafNsLBR0LmKWHbCZoFdRmai9MFY8Pk7d3s3TYDiibKVrMSxXmx5sqD11aldVGZ/rnrTZq3lU8qOoEGVpQ1pc+j1zqVm9NyI2GKj/VczZ6Onno+HJkklt7c5717R1SGn6p2O+78OeBPw5CjMPXL19WtTz0SpNf3at5k3kVeUSW9FDkyyqs4jZ/1XeW7btU8SGmFeWo/kbUPIj1K/Kib5+6ZT+ZB7G8XnqDaSMm0jCI/W/vmt0IcPygzUoQpRRz5syR3p922mlo4+77rLj99tvx+uuvY/369QCAZ555BqZp4sorrwQAXH311bj88svd+DfeeCPWrFmDBQsWAAAWLlyINWvW4Prrr8+ZJgD86Ec/wtNPP42amhoAwKOPPorhw4fjjDPOOKzlzesYA6Ce5bDgrQLsh6uG2IHyMyDdQKODvAyiDlMvNeg7If2gp+445U5MbS3RmdnFPOQyyDNaOS6bl/+MMrs1Q+ZPpJuNH5aG/FvmQz34+dW9jkf+vezH5i8fPm+ZZ/Vgl41PFX3xnVrJVOetb0dsXHlQz/Zd6mUj58vnx/Mttm0dvypLicyn+huReZYVIf13qLMI6ZcOeaisVLKFTOSV5YEvD4FcbyrrF/OPAg1fHvymlwBHD23eHdbU1IS9e/eiUyfeG37Pnj2+jsLtgaqqKjz99NO45JJL3NOd33zzTRQV2ebI1tZWJJNJN37v3r3xt7/9DbfeeisikQji8Thee+019O7dO2eaAHDeeedhz549OP300xGLxdChQwf89a9/hWEc3uPSHYc7A1T6VJXxM38pWDOxOjbfyeh2Z1DuiQhvnGeZBpXSy2nkdywP2Z/9+JaHOv/yitRt+mL5xLQqHkVkU1L8wuXBiJcnK0dRpl5MdR1k54Mtnbe7iLpKJ5/CvxyyzPkwmZ6KP69diyWThzIvNnX/V7UzKNI7JxPz9NRlYimovgBd+9S1bTGOjl87jFcWVCqFLB/52/TiejRkRZaFxaUVc/Xrn/zlIvc3Khp+kL9rnrauDrw42emy7yiAln2NWbgKcCyhzYclPvjgg3j00Udx1VVXYcCAAQCADRs24Omnn8aNN96I7373u+3C6ImGQzkgq2blLqx9Ybnb4f0lxZ5QnYvaAKg/X9Xsh+TwXhUHinh+0MVT0fIb6inzP5Bbef3oqv7y6XMtYW5yUalSOtVNxTMUzyyy1amYn0hDr0b6y0uuL1kCujbH5qNrB340dHWZLd9sfIhp/fjTfSMQ0ok0dGlzyVPH98HJQV1PIs+qMojxIYRle+/XjsR4ev5ze8/np2+lvDIo4vyw6VLKK8vHuOunaWLKCA5LPLposyXo5ptvRlFREf7rv/4LX3zxBQCgV69e+NGPfoR///d/bzODATy07mvOfIT2zFQ+VVnfmXhvss1uqBuP70Ko+1eXljLpeZr6IUuntqjzEWdy3m+ifK/LWRfG0hKv+fQbHPSQy8LTcd44deknY1WZ5bQeRT9Z8Pmoun3/4U910WR2mvIgIqbxk63X3lV1IdcTy5s6TNemPd5FCjqa+nLwtMSaYtP5tRX/cujeZY+brS2LfYCKz1y+V/n8Iza1uh51fYqqHet4kvmWafu1AZk3nRrkJTOjbR5WAxxBtEttXXvttbj22mvR2NgISim3dBSg/RDtmAdbAZLBKxL6jlScA6ljyXTZv6JixFLRdRG5zBOJ5rfasK8CvwTh5Kejpercdfyw9Ngw3XxYR0cVRyVjnj9/W4H41+vc+dx0ebPvc1FaVO9V82z+Wa1UqZ796l7VfvXypUrZiTzLA728VEeEJR91fvrfPP/qHWT23+wDLV/3uarjrFIgtiE/5YrnUSUznhdWNRdbn1qZZuOoJKz7DnXfDRTP6jjq8qrbmN0yclCD0GFgcFDi8YR2dWIpLCzkFKBrr722Pcmf9OgwoAwmAEKcz9Fx+mOfvXf2X7/Ogacjzn4gvBPjymnYuBaXhu0EVefD+CGXjsuvQ5OfKfebl5E/fb948g4WVRy/PFRx+TzVHTCfr648uSo0bBsS60+XtzgYijur5Hao44ttF7KSrRso5fqBEFfcEcTWBb8jStyurodcRllWYlv3/27UZeMh16/ftyTnk8tZXGxaWYY8HbXs/fsdXulTfVvq+vRo+bVNlcKt6sf8tvvLNJ02rbPU0swhtiW9OyjDAxybOCRL0Msvv4yOHTtixowZuOaaa7Tx3njjjUNmLICMhi37AVAQKs+sAXkGfjAzO74jFSlRIY3Y6cpx2VmeyBNrreDTqW0IMs+6Ob0IHU1VGp5vlb1FXn7U5cHyl7vSJpdWFW7TFgdOWZ5iGr/ceF71fLDxxbgiLVU6LwXPl99w7D+wH/x7sZ375evJxRlIs8nFS6Gnr68v3TcotydPimJa/rf6e1Hl6bQqWanLTSXU9QUq+5EHXl7qPkndT7E0VF+mKk/n2xE5E9OK9io+rtKlnlIQQgCahhHKrl4GOHZwSJage++9F48//jgA4O9//zsopcp/AdoXDdtq3d+ixYeF3wwHzHvVO9E6op8pyXTENDq6cnqqiJvLjJWfBfK0vL8qy4juHUtbZU0R82ItB7r0Ktn5PfN5qOLK2351shfpq+XgzIx1s3U5raotsGFsneeeVt3+RDmq02SnJUMekOW4en5lHuW2yLZlXXsTv2Od3HTt0K/u5XLwxxOIefi1H7GsYpnZ+GK4XBeqb1fOUxWerax+fYsse3V/oJK7V36VwgcYNA0zZ6UxwLGCQ7IEffLJJ+7v0047DU8++aQyHnu2ToB2ACFQD9j6AVP1W0naJ262vHS0D4aOXTK5U9SXS93VOGGqua+foiG+E+eRucrXL8+D4Ue0keQqY907sQxsGf14y7Wu/XjR2XvYgciPF7+0Mi19PDHMzz4i1rsqLFcec2knfrS89q4qgQi9v9Gh/M6Gg+kbsuVxsGn8lDeRlp/N8WDl4ChCrBXJhGfhjtc0Ab2CqzOOF7TZMfqee+6R3iUSCfz2t7/FQw891FbyARgU9iiRZjBthfpDz7ZUcCj58GeOZFug8aelj+coU0YbJXSog0J7ob3zZM/mUdsUDpYeq7j6366dS1n0A71/mvaqY3W4nnp71U/uSpYcU502NxnmooT5ybZ922fu9X6wdc6eCXUo6VX5+/0mAJKN/L2SAY5ttNkx+uqrr5beEULQ0NCACy+8sK3kAzDoMKDc7uQI4AxlspndfycVYeLZz/5meghhanp8/rpwZwaVC5xB1u9ZHaZbgtDxzMokN4uC904sr+co65TV401cOhNN7Dr6qryoIhxMGOXSqE7+VTu4iuEssi0b6HhQyVRl8ZOXafRLQHK4v8KirlvZGVqWr67d+Z1irLaG8HXJ/gMXzvPEtxkWFCpZqXhQ1Zl4NQbPp7zcI2+0EPsesU2x7718xeVJkaZeFiz/+n6Gr0ud3ORvR3WNxqFOOMNF0YOKH+Do4rAccRwOh3HbbbehqanpcJA/aWGETfvUaKrqaHTr2PJAKg+64lq9PMB7nTL7z0krd8CEey93bqwyQLj3kJ7ljkk1eKkHbVE2ckcv5ivyLfMqdvbyIMvT5vPleeN5kAdHkb5q4NH59AC6D1zPuycbItSjSlEgAh1Z4WLLxg8saoWTbz8q2rISycpCH4+vB/GZz9t7J7c1uVxyO+S/P8rEUQ2o/LekhjhIy9+aXIciT7yiKSoncN+JCoWfgsDKgk0jK+IeTZk/jw8i/RXj83yK/YGqHGJefP+SXdHTx7VgwMr8Tbn0C7oGBx4eTzik5bCf/exn+NnPfgZAf3t6XV0dxo8f3zbuAkgIF0SQaGgB3/3rZ1/2b/VMRj1DEuP4zYL4Tkn13g8qZUGVVk9bnA2qlQvnr0o+2Tg1XAqefLzhP1veOj5zSaNO65+fug6z0XLCdO1BLq+s1PJhjnKke8+mIW7eftzplQM+f1kpyh02DzoZ8gNgLrSy14cqjZifuu20Nw5WVh7YxaZsNA81D33edj7Z81Bx6Cg76p1p4N7JCpWoLAIm0kjDQH6XQAk6nnBISlB1dTVKS0tBKcVPfvIT6bZ4wzBQXl6OWbNmtQuTATyECsJINTQrPlvvM2U/WOoOMoSJ6byX7/zhOwG+gxNzokwc1jdE9V6Gx5mXv3iUIbgYLG9850SFmDy8jk48t5Yw6XVy8GRHpDLq8mLLp4/j/WXvshLlJfJGBZnp88gWB0yuYqsR64wtl99QLA8qRKDMl9wpk44m32o9OiqZECFULjNVpHX4YpUxVlnz6sj5LX5PYq4yDfkb1dWHmCvfJljLSfY2oa8zp37E71bMX4ZMU62kqZQJL5V8XCT7TqSqr0uxzVCfMC8O/wWzG+zV3x3bRtRLkx6PJiwEOL5wSErQqFGjMGrUKABANBrF1772tXZlKoAaqeYE4rucG4rFj9Hr2NSzVnFQptzHzb9TdS6iwsAvv+lmVOJMXQQ/uLD0xcFRHrBlfvjBjM9H5oNXoNj8xI5Stmqou3DVIEi51J4ixQ8iotLCQx70nTxVaWRpi4O6bjmD5V+vXIvp5WGFzZlvEzKfFvfEDoOykuG1QvG9HEelPIsKmVw28bdMQf4tKuNiPBW8tKI6xX4JfNvgv1R5WdRL7X2r4iSGL5tqeUz+FsQvWqf+8XTVqi0R4rAlZr9ntpxeGD+pYhUyR5XxOFZNLPyX8TyafN/G90d69cp5X7+pBiUDOmtiBTjW0GafoLPOOgvLly/Hl19+6b5bu3Yt9u/f31bSAQQ0bN4L+9oMld+Fg2ydL//X/i36KrAzThVt/SzR+ZtN+fFPq/JDEPNXDxx6uch56ZRFMUz/W0WTpccqoGLH6rzn33lyU5VRPevWDzReWpauXj4qOVKBJ7nTEP0+/Hlh81EtUXrh/oqsyKufom0Pq4aQVt9G+XaW7TvL1t74NHw9ZufbS+uvqNlv9Qqc6IOj5/FgvwUdXfU37IR579XLZirZ8/5C/Hcl+h3J7TJ7PYl5UqmN5EKjZVdd1lgBjh20WQm66667cMYZZ+DNN990361atQoTJ07Ehx9+2FbyARhYaQu5Ww7E52yzGN2Hrp4t6vPWQ+WMqqKTex65mJ7lzlk1DKhm1c777P4S/OAmKpV6/x25nvR5ie8t33ph3+kG+2z1Kg+GOp5USpuaHzYfw32fXan2z9/vvd9AzvIstqWDGTwPHvKEQR3u2SGyKbBOHPavP21d/qL1WMUzn95vwqLjUQW5DvzSsQqR+J36T8Jym8hki69DOpE6qPgBji7afE7Qe++9h6VLl6JTJ+/SuPPPPx8TJ07E5ZdfjnfffbetWQTIIL9rCQyw/jwm87F73aaoxDhv+UGPXaLxwC/X8NT0SxvygfusqZo1XOv9atgnlZeR2sNIXjJgTdqy7YW4qVTy4iUnGvTZtGwY5cIgxXdoiTXhpWC59+JQgQYrSbWCw9YbuNg6nwt+4JCHXj4/ngbPM1sXOjnyvIjl4GOJNS2GyS1GDiXg60W+MkH865SEMPG9d7K6xi9rqWTFfk+iRxrPvyxdjzN1S2brSV6k5PmUvze2htn/WQ5E/uX2JLY0uYac75GVF0uZhygFeVlLVnDECYdYGtV3xfYUXm7eMhr7Tcn9iR/MvHBO8QIcG2izElRQUMApQA569OiBdDrdVvIBGIRizsfFzrxVg5UTx4PK0sP6luhm/k6Ho7IUiLTljlPNi9xpiTRFevw7uaw6XvgZLTvwyh2pqCTyslBbduThU8WzAwMW1zU78VU3pfPDqpivujNW1zEfrnYzZ/lVKWRiHvKQyuelVvfYvyrrD6sg83mzDqk6lVVMw+YJBU3W0iPyJJZPTiNSZfnz2phKWdPvSFS3fz858/Ed/kTuWYVOdgFWf4t8frr2zfMgy9ijLyrrunpS8aFqy/5Qf6vyt6aWs67fyTXfUDRQgo4ntHk5rL6+Hhs3bpTef/7556ivr1ekCHCoSDbHuc7Y3+/Eg26w8NLJ8VUdRe6dEEtfD/9lJnHQBPdXT1MfT/Q1UpVTTOvX6WePw+etD8uehzo+uxTgl57l1eLkoFK+5DRqutnaRPZlRB2veqVZxZM8iOWmlLLx1fFUvLDx/ZUGUcnyU+5V/Opkq6snA3z7V9WbTm5+dazL029ixL7zlwNVxuXpifF1CrQauu9cD12c3NpztGNBTvECHBtosyXo5ptvxtixY3HuuediwIABAICNGzfilVdewc9//vM2MxjAQ7gwBsDphFlTPzuz0m21tuOq3jnp5E+cNxR7/6sWmwjzi3K/1UOSvCwkLxqwyxiq3Twq3nlrBi8ZNYfezJky6eW5tAyq4YHnUXznyYWXBytjMXeeCuXK4r2TbRl8Wp1Fg5enammHpcrXgpwjm0ZlW5HDPQnyliriKhwWdGXh44tlolyY2J7Vy6L8XiOeFw9iy3RKZQl8ieWVc/cbWlkO+PfsspHKusTWJPslyXyIdPn/VbEc+Cvp4jfmvBVbkcetp7Dw7YbvK9ilOPUN8jroljTlXvTgYfcFofwICnuXHSKNAEcDbVaCLr/8cnTp0gX/9V//hddeew0AMHz4cLzwwguYM2dOmxkM4CGxvxFeJ6KeTcmzNK+zBvhun4faMiAOPF6YSllQz3JFVYfnm6Uhr7vryqfumPmOnp+B8vmIXTWvCqmWgJxf8mxaDM1m4ZJnxmIZZL8H3jNBJQ+5XOLAoc5LNxDyaVQKnTqMV0b4AYtPoaKrU8VFmavKQEBd11rRN0QH/bKcv3WB5YNty97hmiIfYlx1OcQ4fBnEb0M9veDhV8eqbw2Qv0NekdGdPiby5MeHt/TppRcVJVX96S2YurKJ/YU49eAlK7ZHdprE+njJrdIOLZ/QB4QcqiIV4GigzUoQYN8kf9ppp7UHqQA+SNa3uPMeeZuyDdFiIP7WDeAApA6ch34Q5Z+9HAxFLHbeJitzMk1WdfPrYAnXmalUPW9gU9PSD5Zs58/KSD0Yq5VC9exTLgdPS2X5kLtinq66XKohQaXaqeQnz8xFfsUwnYKuKzfPr25w5q0TUMSRlQW+XfFDWjb4lRXSe72CrVbi2XycNskfXppbWnUbOLj25j2LdeikZeN77Ym1lal50/HN5qdLr/4ORJo6BVptZfPqnlfaREdvBwbDm8cra5dk6VCUVnZTlCPAsYx2uTusqakJTz75JB5++GEAwAcffIADBw60B+kADFItCRAABjyfDnmWrB6E5ZmY/U7VcRApnd/siwrx/BQvynWgfHoxX5aGblBjy2OBnxnzFgI+rjiLpm4nxvKhs57IMtP7Y7GQZ6zsX7WPEl8fKl8eT+58+XgaMg+80kaEconlEevGo69qV35lAJyt0Hy52bZHuXgqejqI+fN0xbYo1mU2emK7EeOJbZ8vm5/6Z7jLaCp6BGr5+8NPqZfryfse1W3HqzO2rvkJTjbofK/03yjvRyTKSN32eP5lJVVsDyq+5bbi0KAwQGFk7g0zkIaBNEJIIwQL6aZWffEDHJNosxK0atUq9OvXDzfeeCMee+wxAMCyZcswadIkfPbZZ21mMICHcHEeiDMwEO4PB3lAYh2p5VmcfsBnw+00qoFYNZjzkE3a6s7Ooy8rKir6KuuL2LGqBk71wC/yzNPmbSO6QS2bQiQrG/xfL46aH5me6q+oAPL/si3X6fPkFV5eaeGVYFUblPnKrhCL8te3WTGtrJCw8dTypsry6JRXT5a6AVyVThVXTKeqP49X/WRDrlu9wkOFvKhQLr6MKgWdLT//l+dVVARlxVBWyMXyien5POS06n5RPamR8+dhMPH4umH+ETvO9r99Cmr5K9YBji20WQm6+eab8fDDD6O+vh7du3cHAHzrW9/C3/72N+lOsfZEIpHAjTfeiHHjxmHcuHG44YYbkEgkfNNQSnHPPfdg7NixqKqqwmWXXYa6urqDovvll1/iu9/9LqZPn44ZM2Zg7NixrvJ3uJHXuUTZefIDkD0/kwdDP6gGE9ni4dBiQZi4BF6HIc/AIHV6Kqj5VNHyn12rZ9W5dE66jlJ8VitXunpRWwpy4ctfSeN5kAd7P2SzgnhxxAFJjJM9jZg+F6uB/rc4cOnaZnbZiXw5YapTsXmFTKWgi2nkvFhl3sjwzi4+qpRuWeln49LMrjAVP7Ly66ccyAqU37cgT1T4/FVWX5EGXzo5TKbrxDE4K6GuzasUPH1e/sozr/Qo+SMEydpmNH2xVxMjwLGINitBra2tuOSSSwCAcwgbOHBgVqWkLbjllluwatUqLFq0CIsWLcKaNWtw6623+qZ5+OGH8fzzz+ODDz7AokWLEIlEcMUVVxwU3aeeegrLli3DP/7xDyxYsAB/+MMf8N3vfhe/+93vDks5WZiZc4LE4/8BseNT/dXNRHVWB7XFRz3g8jnp6MnIplipqIu/VXlmG9xV6XWzUD+e/PMQLRksn/Zffru6KHdxwPFgCeEHo1SoBtdc4C8fEbnxwy93qdqBv4+Tykoh5yNaWzzafB6qOB6vshWADVN/CSwd9p0l8eGlU5VEHIypVA9+iqhoYfLCswzqSj7YMFl5EssqWkzE9/pJl1gPMu9qhVw9OdFN6kT4T5h0kyFeMU8eaFLSDnBsos1KUF1dHVIp+Zjw2tpa7N69u63kldi3bx8ef/xx3HzzzTBNE6Zp4qabbsJjjz2mvbMsnU7j/vvvx7e+9S3k5+cDsBWeV199FStXrsyZbrdu3XDrrbciFrO3qw8bNgynnnoqnn322cNSVhatu+u8j5uqO4JcfFNUgyib3v4rPrMOzby6wy8B8bMvItHizeC6zlg1ULODlrgsQBU0xHLJAw/ficuzcd2z30DEll+nAIkdtcy1rKR6stPNwGVeeQsALwNZ7vIMXk1bDldZGVRLB/4Dt1xeli85jdP6dIOwiieHL1F64rKOrHQQJp5TPr4tiUs2VKCrk61K0ZMVKdmHSVSy1cthKmuGv5KvasdEKINKYZNlKCOb0iK2X1Gequ9NVCL5/G1LmQGxTajbF8+LSsFz8uTr38z4CMkKcYBjHW1WgmbPno05c+bgL3/5CxoaGrBgwQI88cQTmDFjBs4999z24FHCggULkEwmMWHCBPfdhAkTkEwmsWDBAmWa5cuXo6amhktTWVmJgoICvPXWWznTveaaazB37lyOdiwWO6xWLweeoY2CEIoKkpY+eP6vOODbH68hxBE7UHWnzHcUBlQdnb4zFwdEAyJvMk/ZICsEqhk9Lx82rriMkE3JUA2Qznu7k9YppiIfcvlUg4CsWPK0xYFRVX8q5YGXt2rgEgdulQIJ8PJkw7OVky+j91ctP/+ZvPxXpQzkVidyuGyVE/li47P55LYEo+KfPfSQpa+f3Kh5U6eRZa8Kl9udf76ycuaEq+uHhbqu1Iqarj2rJn/edynz7TeRUPHkZ33i41kIFUZ9YgQ41tDmLfL33XcffvjDH+LSSy9FPB5HdXU1YrEYbrrpJtxzzz3twaOETZs2IRQKcdd1lJeXwzRNbNq0SZsGACoqKtx3hBB06dLFDTsUupRSfPzxx1n9n+LxOOLxuPt8KKdpxypKAQIQaoFSgnJCsYc6MzLL/Tz9P27A/pB5ew47r9On5kMMYdYjztbUHZA3Q5bPIuHTOmqFfnO8EyqnZ8NEPthnHY8eDyJ/OohWFvE2KMq8oUIK54kqy6rjka03+UhK/QBGBLmy/+vzVSsVrMVDJ2N1el5xYOtLn6dcVj4v3irgPfkrMOowv6FOrzhRzZP8xstD9RXo0uhd8mX+VNaN3L5t9ferssb485BN/qIlSdUK9Aq1up78a13Oi+2PxAMoZUr+CpANS7EyEuDYRZstQaFQCD/5yU+wf/9+LFu2DMuWLcP+/fvx4x//GKZptgePEpqbmxGJRKT3kUgEzc3N2jQAEI3yWno0GnXDDoXuk08+ifLyclx77bW+PN93330oKSlx//Xs2dM3vgpGJIT83p1ggsIEVQwGvFWAN9myAwQ7MLNvVDNuL1w1KxaXuNSDrm4GJ9LmO06vDBYTrrIsqDt8cPKQ8+TzUVlQ2LKp+eafVUtgooVDbT2Qy8LSyeb3wuav4kUVriqDzBsR/kF4r7KW6KwPaguN2DbF8stQ1anKSqSziMnWNlFufBo+b5u+uPTFK8DqsjqtW6x3nmc+H3XZvLjquvFTvuSysN+amF713bAyFPmV+wEqhPPfBa8A8t+J3N5EWYs8eeUR0+m/Y3HZVlzyc+jkovjZaN0SOEYfT2iXc4IAIC8vDyNGjMCIESNcf5kHH3zwoGjcddddIIT4/luyZAny8/OVy0+JRML19xHhvGetMc6zE3awdJcvX477778fL730EsJh/0vzvv/976Ours79t23bNt/4OuR37+D+VnemLMSZDOX+yYOtqCY5v9mOV2V25nnQD3ZiLnynK9JhKRgKmv6zMnFwVpnA/Ts2vgNVm9zZ/FTpPToqnkXrkffeyCh/XhqqSafOX6fcQHrPDjzq+hXbjY6uTtHkB1h2KVUesNjf/BKEv3IJ6OpAtbTmhenKIipunqVAVKCduPw34q8Q+tWH/I4o0qgmBWpFiFcA1Iqd3A5F2ajzU32/KrpiPFERkidsbL6qupbrXFZ0+O+GMPRkWbB16y8LfxAAqeCsoOMK7XJi9Pvvv4+lS5eivr4elHoN5qmnnsLNN9+cM51bbrkF1113nW+cTp06Ydu2bUilUti7d6+7dFVTU4N0Oo1+/fop0znvd+3ahR49egAAKKXYvXu3G9avX7+c6W7evBmXXHIJXnjhBfTu3Ttr2aLRqGSFOhQkauq0o78848v945Xje909kd4A3oKK2M1Q7reoVsmdq1gGvkOl3DuPKt/5sXyy+atpq3hXKYNefJmO423gxORN6f5DHT/79VOM9GVQpfTkL+agKoWYjs2PCqF8/qynBV//TqkNTWqZqroOdAqVLk+ed7k8clxx+Y4N96DiR8+jTvLiVMTj1zuBXPyuvHSyX4uch9xm2VCxXbCyNJi4TosW60TmX6TLhqr4VdUbhCf2mxJ7DqrgS5SZCipZ8Oc/Z5vYEKF2VC36nBA/cY6WF2soBjgW0WYl6IYbbsCvf/1rDB06FEVFRdw2+dra2oOiVVhYiMLCwqzxZsyYgXA4jCVLlrhOykuWLEE4HMaMGTOUaUaOHIny8nIsWbIE48ePBwCsXbsWTU1NmD179kHR3blzJ84991z89re/xahRowAATzzxRNYlsXZBWrWzi+8E2Q7DG8j97CaUS+dRFBUWXqVRXY3KKwPisCTyytNWKQReXmw+/n41oizEvFiKYodrv7NcjmRuLTedR1E3eIryVEFdj7wlQeSZzZcfGnhFVHUBrTxgeLnKrUQ9vLAn9/LS4duFpyjKCgevyKh9Mey6YPOB4klUNuR81IqjWhosZB8tv+9JpbiJVzQ47ZM/G4jNj69NP4WYf89aXXi1w8tRlw+bHztBkC0rbItyaHn1LCsuKt55Bcj7reoBxO9W7HdEGvz3w39PDjfiNyLmpIN6kgEUCUnLJg/OSivAsYM2L4e98cYb+OKLL/DJJ5/gvffew7vvvuv+mz9/fjuwKKOsrAzXXXcdHnroIaTTaViWhUceeQTXXXcdOnbsCMC24PTs2dO91NU0Tdx+++34xS9+4fr3PPjgg5g3bx6GDx+eM939+/fjtNNOw2WXXQbTNLFkyRIsWbIETz311GEpq4hYd5sPcYnB7nT4gVO1tq9eNhE7hNwgD5xOR+V0QHKezo4sfV5iWlW+qiUOefnLSZ+te1OZ4mVLgSw3h67qI/LCWdmy/9i81X5J4NJDoOOFi/L0lhnkMoltQ7esIg/QHh3VQYJyfrphm68bVTvhl0OcX/ySFGXSenRY2nJ5VPIV5Ua4v6IMsn0frBzFQV5U0EW6osLhLYeqcuF/q9qAE0og1jUrDz1ldVvk27VuCVVsW7xaJrZp/rfcVtlwWWVhvx0i0WS/LUhpxL5LV3+5o+PkQTAi7bLAEuAIoc21VVlZifLycmXYQw891FbyWjzwwAO49dZbUVVVBQCYMmUKHnjgATfcsiy0tLQgmUy672666SY0NjZi6tSpCIfDGDhwIH7/+98fFN377rsPK1eulA5mzGVJrD1QPKwX9i1cBYPanaSqs1dZaNj5izzb9v7yS0WiOdihBM07+7eavl7pYWedTlzZOsPO3tj38lo+VaRhOZFnz6pBVeRSpKL6rVZgskGewcsKl+pKWH6gUM9pWVWEAIKs/O2DPH866JZrLG7I59uATFGt7Dpp+F1+OkuCzBNrpVDVhic/L6Y4CPIKnceDbBNg25XfO5EHr6yyoibaIr2aVilTLE2vZcvtlf3GdZBDWPmLoeo2IIbxfOsgyoxXhHku1NZm8Tvny5U9b71U1H2K/ZzfuxxdThvtQz3AsQhCWSeeQ8Brr72GNWvW4JJLLkHXrl255bBZs2bhnXfeaTOTJyLq6+tRUlKCuro6FBfnvoZMLQvr7nkWhFJ8ZplYaYUgD3WKdEyoaohlZ0SOp4JuyUlUmyA8qczaOn5YjtkBjl/GEgd5eShUvxPzk1UCtoP1Bmu5rDxNuXwOfZWvCQv1jNaTs0qBdHKbYCSw2IooZKdXgnjIy4NU85vlUTWgssO031Kmn8eFSEkdQ0eZjccv5Ypp1AO32O5l+rqvSsex/L2w9WhBpY441gex5cl5sXXAThlUS5j8G5WfkCgfMZdsYfq2oqLO17XfUqKocvLWXVG21D2mg/cZkuWi+2b8yiP3bjycsMvCcRiGgQE3z0eo4OD9Pg91LAjQPmizJWjevHkAgO9973ttZiZAdiT21IFQizk4UQW5o9PNBvkhl+9wVMOI0zF4XZJeQfGDmI7ly5kNi1zoltD4jlKdN6uc2GWwwHa9ttrHDqZ27F4khS9oCP4zRN0wK6p1XqnFblrk2qkZlsIgkkbcSGKZFdakUc98WRgCXb5dyBYEql0xVw/pImQfMdbaJdsLeEVaVw5ZWfTi6AdYPT09ZNVS5+nCp2FLwvqRscoLP8iLfIm5ePHZdypLrajesxhspLDOCnH5yCURw9QqpLqfUcnE41GltKvi8t8bq/p4y6HiN83SF0PY2pDrjUoxdF5bLJy3BiHodsGUQ1KAAhx9tFkJGjVqFB555BHpPaUUN910U1vJBxBgpdL2x0d1czkW/nN72bwsWia8gZJy7ywhFUs1F8idm2r2pusIwbx3dteIXHjcsu/5zl1W9jzunHJXkDS+oCEA4hxUnLOKByOyQ4RqyU/mj6XFqk4ejxSF0pCkL6MK3uCpth+Iizz8gM7H5anq7QLqgcd+583kVWXg24CoIPFhvAIv86LaXaRXmryBVkXLH7za6zmRey3GcvPWtVUVP/z3y369/CTF4Z73qrGf2JPbiBCmVyp1io3Yj6jkwOfB5sV/B7aCZ4BmLp8QlU6Rtmop23tjQFaS9Qqa/E3Ky2yEi+vSCpnodsFkFA89+HPfAhwbaLMS9KMf/QgzZ85Uht1///1tJR9AQKRTMYhpgKa9M2T8uip5xiwrPFQZKtKR529yPHYgYinJs1J5yOT9W8R8ZejsKOoZtqhAEea3SgF0YAKIwEJC6OZ1gzPbufNKnMyH6h3/W+FfldGAPY4dq4hKEeFnweJvPq5HV7QKiEqXaqhUKT6ycsovOnrnILEqopxe/N2BWDhAvWHOr0yiVcazRlF4lgTVAC62Yb3Cyts37F9OKnYwdkrJX4Cc28RBVuDEQV2cQFCoBn0ilZh9FvnRfRfse1mZYimLPYBHwZLkIstU/eXLtMT2KSqY6vTq/ZK81YlVhwDAYCaAAEBSadQ8/z6SU4eh45yxnDtIgOMDbd4ddv7552vDnItJA7QfzFgEhaP6QpwVen/F95QLdwYNFqoOFaAoknansDMh/r24A4OnSZk48pDp0ZN58PjOTZnwBiHd8OavyInPA0gKBcRS0OHLQ6CWIysDnbWCHeD5tGqaBtjDFMVBDEKeEN458nTm285fnUxYdUsP4vIk1iFfXjvcAr/13U5rwsqEieXg855tJDie1EM3MNGN5/Fhy87KKCI6Txwb7E5Gry5kfliwdanyDxPbC/87u9Nu9vcyv+q8eH48Oqr6Y9OoVQu/b1T3rXrthe8/bB4tJU22X5ChV/p05WLfqWTmWPJsfr3+UOyzaj9chfpF6zR8BTiWcUwdlhggNxQP64WmTzcIb3lLiq7zlefVcjyHTkdC0eAS4l0P+TTsTJDv+j3rCD9Yy94MXppykkYN9dPP1R4Pzm9xps0PlH6DND/DBQCT8CXUWSjAvGN51Ftd/Oa6qsGQAgQglO+IWW74gZTnUjXzJ4oyeUqJarhROx/LyoEdxvpZQYqjth4YwnuVfPIMCqRZrth69lJUGikszvhPOe7+KvC+JXx79cCXl/0Ln2c/SwRPV7SEin89/tTfLaBuNyqIZfEsmGzbEVUgL66apih/tYrqr0yLcTxORGlSLpbc5llaqtN9+Hp0UlYZSbfNOGGE2+mox4GFK1A8YRCI0W4XMQQ4AjimDksMkBsSO/eDGASwvNVzZ8CSB3rx0+UdK8U5Hp+etyiUkDRqlcqJM2zwg6IzxKqsRE7HK4IAON2I45l0HtcV6wcUfigVZ7mstwO/tKSbTaqg6nC9/9VdLIRwsQysdHQKC/h0lAJUPaDIvjzse3lY08OblTuqhcgzuGe5Ztg25Mn9UOAsWclt7nQzjjfTUU3emXwZURmCjPkWKi8l8fXLUlbzKQ7b6nBV3Yq1z7dbkaa+veUmYe/bVFuA2O/JU2Jlnr14BkMDDA22ZNlVCKXS734drEou+lE5ypt4uIE4sREVJLV634eksBjsFUi6ZXcZ6YYWJHbXItq1o2+8AMcW2qwEOYclqs4Kuuaaa9pKPoAP2FNbowQoAsU+6nVKqvmc2jLBdgxeDOeOJyd0fqgVTyW9O9T0O1v4d6qug5/18ggRHb9ifK8T5Ac2fsYoLgWxniT8kKjrrL0B0SRAmgIXhlrwQipPWwb1oKpyQGWXKNWnI3sx9QOdw79oKeBLaSMGiriQBysHJ8QeeizhrcMzVZZGz5+/BcPPWuD5j3hvuxiWaw0SlWq2tN1JCjuoySgy/C/Vsqk86LOyd5R6ilJiYT81s/CuV0A9RUJVfnVbh0FALNEHjG3j+toQl8sBoJuRxg7L5PhRKbH2G/7oDPaboUxcry2KCrS6/uUJmbpfUW2CkPnRTTZ4xYznjEnBsZhdsRQHUJpKK+MFOHbRZrvd0Tos8WRGXp8K2yoA75u92GhBR8IulciDPztg8d2R7RticPGBPiTNdYhyOv6t1wlmnzt74V7HrFLSWBp9SYrpkD3e7e7ZLgNnCYDaP0JWlNgumOWHAozfDQB8zWzGJaFmFBDVTNpPCWQHFRX8lQkDFBFNOp4PkSYV4mSzysgLGp4fjQWDWDBChhv34EAVv1XKgffekZejkMeU/llOOl6pBaWoIKpBibcO6OpDzZ/XvvO4OJQLU+VocHXBTjZEzkQevGcjGobT3o2Mb5UuT5FnW5YWF7uY2b4vtk3xuxG/Ly8d385E9UKVnoXcF3m/2TxYybH5qhQjgwlnl8fF/FklT/ZhzN6H9SEp78E0EO4UnPNzvKHNStC1116Ln/70p9ixYwfEcxfPO++8tpIPoEC0RydEunZ0dwoBACGUmcywnYcXR4TTQRiw0EUxWBQRC5WGc+I2zfijqDoUnr44iAHiYCHG9ULVnSQ/eIgOuLLiw+Yvl51v9FToCHkFygTbpdtWqojEpCgLPs8QEQdblWLmvJf5vTLUjMvNFhBChbjyAMgqZFHizKB1yi+PnJRXSoHMMQ2i0itEBACca7bAb/CZbCbEhPBrr6WcI7de4WDLIyse+rRq6BzMxfal/t68eKwjMA9noPYsKh5N522oJB/Rrh21iooXXw8TrMLDqxUi5AmJ2vnZa4e6lsNOsvRtRTcR4NsuP8lSKW6qCYf4jYlhBvi2n035EXkDISgc0RdmXnBW0PGGNitB8+bNw2233YaePXsiFArBNE333/vvv98ePAYQQAhBxUXVMPNjcD5D3hnY+8vublB30OoZLwVACNCDpJgPXdXxsynETowdqGWlKMIoB54lh7e8OOFOZ8vO8HQ85ALWD4RXJvgZvcebKh9xAKSCnDPpqDBj1PCjKwchgGHwdcUPBPIdUwRAB/CWQa+jP1gLjopHGwYnC9lyUULSgnLFW00GGyk3rroNsfkDvY1UxgJixysY1B35g3to+ZUtF3yYfrCTQ+QBl7XIiHmJ9emlUqkbxG3/cn6EEBCToGBgD5j5+kGWMP97356foszmrf7m+DhselXZ5InJ2aFmSXHk87YkuerLBlwaas4SU93PsTT80oWRVsbT0aSZwHDHInQ6fVxW3gIcewgOSzxOES4tRPnZkxD7YD3iW3dnBmsLhDkOjZ8del0kuy4udk+Ei83OvgDD3ZnkeV848R16YN6zAxo/DNhvxpA4FtEIBpMk1tOwGzeEJMOFPPCzZRPpUuYtgarbYtOLO63YM0AIF+b6FNDMVm6hp2QVKocD3XDO1gHgyY2tL9GPB2AVRdWs1YLI1GQzjpdT+RDBd+ieJA2F743Io/iOAighFvqQFJZazgCtXxbyo2vAa5mquqs0UqjMKOUEFIQAkfJSENNAcs8BJA80KcrlgG2zlKkDwsXx8lbVicg70JmksYeazLfEqiIqBUHOc6iRwHZqop4aILAktSBUWoBwST6Su/chVdsEf3jWvxJioY7yKrxtHfRcjT3lxoJ+/5w/2D5DLF1HYluZ91BTSOU3kSEoIhYaMv6NLE3HCsvmUW224r10jEmfnVeV3eqMUIvCyuvBVvgtUGFaZNA08rqVwIgFVqDjEcFhiccxjEgYeX27Il3fBDQ0aWcrIpzPNwwKx8tGnIHq5vbOYKJSPpz8VQ6z9kmwfA8zzEiiN0miEBTr086ODHtwM1xlwm/+RsE6h8u8sAqHemavehbL15+ksIRG4M78iVcmzxVZOEQt888pszh7NgQJqpRECoJiYgHMMrN6Ni4qt/ZTB0JxVagJb1tRbLNCivhw/3fk7Tk88/zqngmAeUYzWkCwHGG3LA4F3XEFclnY+vPiOuhppFFlJLgdX+HMwaFNyzbCqm8STgmmIIKSS9333l+2rHrFCBI/ziBeZSTwt7SsaEKIqwMBMMJIYAqh+G2yEM4SLCeN2nokDtQBhDBNQV1HrPp0fqgZv0sWgv0ihpAUFme8y+yJk6eu++1y5PPhZSaWh/1tSGWnbitwJz3EQpIaXNoILLD7SuWJmYe+RhrvpZ1YGZoAPNurV4chQpGiqjJSdCEW98yXU+1vaZI0TGKhZeUmNPbsgqKJQxW0AxzLaLfDEmtqavD+++9jwYIFqKmpAQCcfvrpbSUfIAcUDOsLmLx7pdgZZVOO+pIk9+zOtoXlNK8jsmdFyNA2IPoL+S2deDSKCIV3rAbfkfP5ifD3CxHLohvIw9r0Hm320EgDlBmIHF8H+RA1R35smJNGXl5TDyYGKM40WmDCgumqU/7LRWzZQG2F0i++wyf/RrV8wsdg3xqgKHHbiWyxc2fxrqLlcekd1ijmx/Nwqhnn78szDeT164b49hqk6xvtssJx4vaWqQDZmVdsg+w7Ma4qjQ4e3+olIhYjjQTGm3F8xWxGoeQzxn5/8JRgn7uuWTmrYfMVEpanWciHXer5V4fxz/1JEoSq2pKXT7XZqkjr2SNZnigg+Z066UoI37amGnEhTxujDL6f40lReBtOPBnxB3vqpVz/zxUK/gIc62izEpRIJPCNb3wD3bp1wymnnILq6mp0794d3/zmNxGPx7MTCNBmkJCJjnPG278BqDonVQfHDnemIh3/yVNmEHIGHEC1q0ztZ+SY4S33NyHIchEsT0NsrF5eMt/9SYJ7r5rFyznwNMT4KidYUVlT0SFsmSEuq4g58cgnjCyzykpBlVJ0k5zexXLIioAnVz8l0UkP1zrG5S3kMYCkJHrqgVfFJ/+uy1erYeRFkdheo2UxmwKjUtoAr+wEFMXcbrSDHeBEB2TvvUlsRaircbBbqtUyycVR3ACFSdgjD3jHf4Cd+KjpjTSSGWU2+1ejq1sn1gQzgb6Z8rP9lvg9scqtqeSNIiZYYk2h/Tr0DV8lhW/Tsp+WviwAkK5thNXY4kM/wLGINitBN998M9avX48XX3wRK1aswIoVK/D8889jzZo1uPXWW9uDxwA5oGjSUBSMGQBANYAj895z4nQGVXkAFz50wjQRYVs++zsXq42jLHk8yFBZRNiZoENvghHHmaFmt4MU85tuqBRwu9yT3DB21icjDxZMpGAi7W0R12zz9YPNozdTVaenqCQJriPn+SaIdOmgCGUdYG25GgV5XLkGIynQssOiPcoUsvPiGa6Vix90Lg41cZaKsLJAasVKVNJzs2pRwNmZaBB0vugU5A/uBVAK2qraXcbS8VM5vTjiwOrU0zlmsy+fLMYYCcbSYYF1mFZ9E4cCXmnz6pKC/VY82tPNVjiTIFX+I0jStaJ4eTh9Be8QDdjO9kONpFJR8dqJp0T6+YbZ1meKfI3yowLbxxiRkNun8bwDJhHlxC7jq2XhXZPC0+Inih7yiYUxhn/7C3Dso80+QQsWLMAnn3yCUMgjNWzYMJxxxhkYP358W8kHyBGEEPcj9roUih4khe1U9AdxHJ0pQqVFSNU2Zk6g5mnmV/ZGSVUl8Lv3mH4j9867gFA0UVVnmaFDqWsKihKKuM+MXgzqSNIIcYOWN8N1OkEvFeHyLuYsI87wQcFyR0Bxodmg6OwpqDQ7zD5Eysqa7FvVkaRxjtGMVxQ+JmZxPmhrnMtXXHaimTzMiAnkl4LUNQEWhUG8nFjrR+rLPUxqFvzuM4A/tTmfqCvKvu7EdNNJrsQE6IoUdjJOslRqV2wdeCEEQOHYQegwayzMwjwvAiHwWybyeOEPfVQp294A6YXaCp5s0bE9W/h87WMm2F14bKmom64QFJUkCbFVzzBb8S8rigEkhd3UdA8+9cAq7d4FpHJ5vKeBRgofWlFBRF7KfGLhfLMZT6YKoYJaKXdosAePqsvrTQAMsDVKABQS28n41Ey5R5EE3kjnKXMbZSTQO2NJdJWrVMI1QbJ10Yck0QNpzA814f10Hg5QL2/CWlYZjo2wyRhbZcW5gqQxwUxgqxXCMsv2qbrIbOYs2aGOxTAK1fwHOHbRZktQJBLhFCD2fTQaeMsfKST37EfzZ+sgmnSzwWpqQcHYgYiUl8A0bHNzyKSIdeuAkmnDESkpQrR7eU60ejN+RQTARaEmXGg2opKI5xMzs1bBuqQbzggoYkxoN3gHOZLMEM2t4xPRmsDnzfMhx+tE0ogS9WDppcldIRxsqKwxvFIC8J25DdsCUjC4J2gyxdwiL8+enb/pA/Uw8yMwouGMcsxv3Tdh2bqDklObdpFk8fLalU7nmG20YrIRR4GocIW9/sGpF6fMvKVB3cqc2X7pjJGeApQJCXUsUjMj8O61DxmFsDDb0C1j8Hw6/9wLbO2zC6QSqNqUk+6roUbkEdlXaYCRwmWhJkwy40peWTk5tETLpFPHlURtoSBU7Bdo1iXpUGkhon26cn6HnjzUFjQ1KPfLjmuhlFiYa7ZwS4Ni6UeRBDqRNEx4Ry7AooDFHk9gv58VisMgFspgoTdJMmEUeVw9MnWbSnFlEfP/itmCTkijgjnqQpRb0ZQRwS3yxyHarASVl5fj/vvvR0uL14m0tLTgvvvuQ6dOndpKPkCOaFq8BjBYk7gN+ZPkTdY0mUTi8y9h7dlrdyoAaNpCcude7Hv6NSRr9iPStSxDi+8aphktGJdZWjrdbMYpRisXTgAUEYqppto3zHU4VOx+UsE+uJEiDxYMhQHAs7YwypCy7HJe4qBVBr2vhiiHvkbS3sWlQSGx0BUpsE7AYn68MuT9c/wgkjt2wyyIMXFty8sloUZlnsld+9H56/MQ69eNe28YRJje8xIqQhpXmg0YZvAKrW5pg5VoHqGoNJLu+U8AEC4rQax/Nymdmys3aFDNX4AYBEZ+DCLCXdV9TJG7/CieIs77jgDAMCOB3kaSWf6xQMK2tcpv+dMgBJGyAoTLSrgyiJZDOR2vTPOtkqXEP6mkr/Pdmex8c5QN906Z9nK1P6ShGqUJsK2QsT4VKJ4yHB3PmIRY3wpBppSh6fAF7je/NMWrvUqfqRLZGipvMlApm3a5RH9D52cnYqHabMFpZhO4m+op6wsl86TtRzKdUMG4ISgcN1jiL8CxjzYvhz366KM4/fTTcc8996Br164AgJ07d6Jbt254880328xggNyQ2FHjLmd5Mx/CLcHMNpqxGwZWZcy5hFAQSuwt9oaTJpOeAjQRR+2r74OMGgcSCYMwx+NEQDEoc9DdMJJA2LD7gyJYaAA7Y1RjQGaGZiBtz9Ops5ijt65EQXGVWe8ugxGoDp6TOyz5fnE1X86ANNKIYxRpdeMUKnwm2F0gMVi4INSK3yV5q8RZZhOWW1FUGa0IuQ6p/DDALSEQoANJc3VmZBQKq6EJ6fpmAFG3LAWEIk+zNEXjCRghE52vmItUbQMK/m8dQIGWFRvEmGAXdi40m2Aq1kA8q5u9LdhRYEk4DJkFb4AtmTsJZNGXdlxKOcHb7UxUVvkrXwnsNAUj+8OIsBdb2hav5NadEAfWM81mdIBzqKLqaADKtRwDVsZh2FNQaTKBaO+uMPc2AdoNRRTW3lpER/VH3pBeKB9UBvK7d8ENkrAVL90ZPAUThyGxbTeSO/Yypc6kC5kghNj3UVHRp8Xj/ytmE/6e9paz3JDMcrN3GIBsdXVoTjLjWJ1SX8ziHNBITNNWgNZuBbsM6bVl0ZIiTjj48688axC1LSgkY/WLmEBdAwyYsFy5ZRRUxYfL+tsxNSiphzPMFnREEp2Io+w6SrVN1GbB2+3Jl86CCc9PimaURyMvgo7nn4K8AT0CK9BxijYrQQMGDMCaNWvwzDPPYNWqVaCUYsSIEbjkkksQiag/qgCHAWnecuF0A52IhS8oAFD0NRLoC7hKkA0K+2Zy1bZtCtrYhMTWHYj27Axs3a/MOkSc/pa3wjidpGqYrsw4kdp5Ok7HdmyTiruIvG47TNSdrB7yYotnLWJdSr04Ewx++a6cWJhqtPLWHsKnIaCYaLbi47RnrehMLMwxmyXHTZFrNi+T2Fa1NwW/INpgn7wrbjkGgNFG3D2okJ3B1r/2PgpnjkekZwVCHYqRbmhixk/KDBqeUmD7Uqm4tDHRaIVJGUUtmUC0eylSTXGkG5szjuRRGBkaDa++g0RTPnirHzs4yvkQ4YGYJoqrx3JxWtdsRsuyDW58th4rSEppNWDpTzZa8JEV4/IXLYOJrTtBw0kAPn4eBEjXNsAsKkCotNA281gqmpZXWmoPpIVVQ1H6lcmglCKxbTcaP12H1N46GPkx5MfKUFxYCCuRRHzzDiR37eM4vcKsx3oaRi+SRByGNzC7MTJDeMhEXq9uaP18u8CPV8+ydxMLCiM/D6nd+0ApRapbHoiZfQHBU/f5d2xOJizHboNov24Il5UgvK4W6b21GYXIi2MgrV22sydTNqVQUT4KBnYGTAMtS9dz8QYZqcxyIL8M63Hk7QhsoI5MbbmamfZkMHmFkQJaUmj9ZDXyBqhPLQ9w7KPNShBg+/9cffXV7UEqwCHCarbvaBLBbvcFoOhI+FmiGAIAyS92IW/8UOSXDQEWiZ2pDe+CTW8baoikYHavsMe9ra3wQ3eSxueUIJ9kdjgx/PDzPHEe72EYSWAVjWCYkQChlqvieIN6ZsaX2dZPQW1Li6tYEOZ/fr49RDhfhFAKs7QIVm2Dm2aEYfstvJbKB0BsWbs+GKqBkT0DxZvx2kf3e8s5DnsE/PKOg3FmHCtoGJZwCFxi05fYv3Ebis85BYABEjLdgvGWF1YJZtsBryACwEhDrkdrz14QEIQV13xbDc2gKfs0cINYIDC4OHyecq2GSosQG9gToQ7exZQ0mULty+8CYJfHvDpWXSMCAANJEhuobU0KManaZQJvWYiv3wISNkHjXosdZbRimRVzy0kAhEkKlAKtS9eCzp0CYhqI9qpAtFeFSy768RdAfSuMaASxAT1gmASJ7Y61iCJMgBGZJaw9bvsQT622EDYsJD7fJn0xntw9q2oEFpLg2z8AtHy6xk1Xu341UiUlyOaMDjhLieq66J2xIjuKUdk5M0DCIaQ/+osU1247clsEbOsOGy9c0RFl508DtSzU1DYCm/Z5kRkFiAfbNwAXmo1IA3g6Vezy59dE4ms2I7FlB6J9u/vECnCs4pB8gmpqanDPPffgnnvuwcqVK6Xw2267zT0w8XAhkUjgxhtvxLhx4zBu3DjccMMNSCT8tytSSnHPPfdg7NixqKqqwmWXXYa6urpDptvU1ITevXujurq6vYp1SLCaW2DVyb4h4sz2UDp7J0lq+x50OHsaCsYMQrhLR5jF+QiXFcMsjMEMGzCJfAcQAYW1fSfojl2QZ4X88xSjGVVGC842GhUKFr9eryofYFsp5ocaMdFokXZiqfJ2+DU4BYAdGKAWGiGI9u+B/FEDQfKiPl0kZaxOIh+ic7NdRhPsuSkZ5dIeBZj3drpSxm9J3L4LwLVI1L/6HqzWOIy8KIzCPE6OEVCu/HoHbV5ufDGpfbmuZfka5wiA4aTVVcwdOXzVbGSsBN6/vOH9kD9qoOQL1LLqc25rPD9Q6bak2z5sDNOM0uCHLDEoQAwDTf9choa/fwjE49nTINOskknE123RkM0ox4kkWj5ZjdSOGnDtUpOHIwsTaduKEpf7rm4Z594OhPWBsXCJWYvu7q41eXu8A6uuEdkP+bL7A5Ooj8NwDyklBJE+3WAWF6D5szVZlCs5rL9wyGuo1F6SJoaBTpechli/7lxj8LU8ZvI2iL0r0Dn7qsjHqugkaP50rX+cAMcsDkkJev755/HjH/8YBw4cQGlpqRS+evVqTJ48Gdu3b28rf1rccsstWLVqFRYtWoRFixbldC7Rww8/jOeffx4ffPABFi1ahEgkgiuuuOKQ6d5xxx2or69vtzIdKmhrwt01xCLGOP6xIc6t5uWZLb1ZdSMKpPbVgRACs6QQeZV9UDhxOCpuuAhdb74M4UKfSx0pGBO0eMia9ztKgNFmAsWGvnM3XeuIOo5BgE5II8SdycOWz7LN6kr63nq/ex6QCUR6dJYyyR89EB0vPg2EEHuQLogxdJDxDaAIlXfQ8Cr7Z7DWL+9d5p+jYDDvAYpRJG77JVAr67BrD6IEkd6ikzLjDOzmaaEUaVd+vJwOHRRAHyPl3m7voJhY6EC8uiWgCJUUItypVC7Hvjo0vL4QuqUWceDuyhzQaGa+EUdJEON2y1gn+masfrxSJpeGUNuSmNiwFUgyu4bgySmSpWaaP1vjGx5fv8VW+CivUPspQh7vapxitGC80Yq5RlNmEmAhBHs3ZAfu+1DVdkbGNO2rBJHMf6o2xHFOCIpnjkXts39H45sfcXHGMGd9mXJKiScjYiK1swbJL3eBUgojEkbR1FEomjwCeUP7oGDcEJc3AmAg5wwu0z3HbERfI4m5pndpa74qf4sinbEIBzj+cEjLYS+//DKee+45zJ8/Xxn+t7/9Df/zP/+Du+++G0888URb+FNi3759ePzxx/HKK6/ANO3P46abbsL8+fNx5513omPHjlKadDqN+++/H3fffTfy821/i1tuuQXDhg3DypUrMXz48IOiu3TpUixevBhnn302tm7d2u5lzAXp2gak9uwDTWQ67czyCwCMNeLoT5LYlDH/s93VfLMJ66wwRhgJPGPptxiXwsJumAAoNwizSO3Zp+kAKNOvsAeQZdbuiX0AoaW2YUC1FOO+J5l7hlz/Es+AT2B5KyNwfsrnvDjxB5ME1iCCdGYpqYhYrjMyrDQ6nFcNmkojsb0GxDQR7dcNZmE+qEVhNTYBaQtFs8ajBC1oWbkRocYkQlYhwt06oXhgIepeftflw1uw8XgTkWVY4Z4iGqdoCZQiXd8EmkggueVLeB5hFL2MJDZZEY43Aoqe3HEHssWkhKRRR01EFbPkLkhhP7zzgkQUw0KNW+9Orp4iBgC0rg4ti1bAyIuBREJo7UoQGdQHtf/7V7e9O+hM0thPDaQgXxdTQdI402xCMVglSz1+zzWa0WIQbKFhbIb93cgWRYfXjFJi+Z/4PMRIYi9C6IA0PrXk3W1Wvf5CVNoat/1jGDiKkIE0/FUdfVvKIxSjMwoAha0Eqb828S3rT0NBrKT9i2TO4XGtOLKCL/osAQCJhFD2tblo/XQVEms3S6UZZ8ZRQVIoIPZ9fVxopsGSzJUyBiiQTCK5fTcO/GYdIv17ofirp2fyCSPcuSMKhpSg9ZNVbqmmGy3YkObvUaOUuG2jjFg41WzhMu5ILEw1WlDIviQEZmG2++MCHKs4JCWoublZqwA5uP766zF16tRDIZ8VCxYsQDKZxIQJE9x3EyZMQDKZxIIFC5S8LV++HDU1NVyayspKFBQU4K233sLw4cNzpmtZFr75zW/iV7/6FR588MHDUkY/pPYeQMMr76BhywEkrMzpOSHK+XqMy2yRZXd0OSglFiaacXeNXEQfI4lTjCaECYVBidvB1D71EtJ53WF2LHXj0jg/IA0x4liUznNn1dlmqwbSQH5BxqcJnBInDhrOwhOl9mAZgrczxMo4h3qzcC9fWenwZtR5hOJKox6/S5Vk8hW2+UfCCHUsQbizpwC3frYGTe8tQuteeyBvXJ5AemgFOp4/CwkaQt7ibXbEVJI7y28wSWAdjWCY0YrNVhgtgiFWd4+Zo8ip3qvk28NIooOonBgErcvWgzY5S0K2rDqSNPqZTXgrXZDJxVMShhutWGl52/LPNz1l93SjGUutKEYqTuauMlqRTyn6uYqUTqG1rWbe6cqsYpRZ5m1uAQFBwwsbgLwYrNZEJtij15mkMZzE8Y4lD0QEQFf3cExx+7qTk7cMUuAq7/xSpfPGJBQW1SsYjP5tP1OK2RlLQkeS5i1DGcuqDunGZm2YfUQEu9uKnwywKAJFPRfG2nr8LMGiAmTf0VWbOcTRaX8GTbvSMkqLYRTnI/XFLo4KEXg0YCHaoxNCpYWIL18v5eagO3N2kFPSSN+usBpbYDU0wUwxy/BMsRObtqHuz/9AsmtvJL/YC2IYMMZ1gVGQD6vJlqspZOh+TxS+Vq5K8f4xSpE3epA2foBjG4e0HBaLyTMaFQ7XYYmbNm1CKBTiziEqLy+HaZrYtGmTNg0AVFR4zoeEEHTp0sUNy5Xuz3/+c0yfPh0jRoxo13LlgnRtA2p/+2ekvuQ7Gb/dMABgsmeZUAqDphBylwTEpQWKMLGEWTCQ3LoD8eXrkWTyNjsWc3FGkgTODjXidMOb4Wp3dRA7r2jvzuh41TwYhXluOdjToM83G3Ce2YAQ8WZsIcZ3xlkqc6/jEPSCDsRCX8L6kFD3F8B3ht4gZV8/Ic7wmj/8FA2vvA2rzlMIKAUS6zaj9tcvwGrwyh3q4ilOFLZPyoVmPaaQFlwakpdRnUtsO5MUTGJvl/csWvaPmPKsFL7AXzGbMcnklTkjFoGVUYDEga9EuFvMqa/JgkLYkdkdV0IszDRb3GUsFhFiK7EdSAoGUt6hfgZc52xCCMLlpSj7t/kIFcYYfnjllVX0rNY4x58fjOICN6JDh23PXgugwhsvd35Z0rb8jDOaobr0FbCXkhxafUkCA0gCESZSXyPFDeqgFHljhmjLIG657mmk0DFj2bLDxStoqMsX2yaiPmdYkTy+Lx+oONQTsGVwqtGEzkaKiy/KiNbWSarYZLMFJgEmmK1Mf0MRLitFfO1moUL9rZuxIX0Q7d0VecP6wRC1GBaWheS6zWh6519IbtqOxMYvcOBnf0C4E2/57iDdqweQvMy4RYh0GKYcmSDcuyuiA3v58h3g2MUhWYKSySQsy4Jh6HWodDqd1VH5UNHc3Kzcfh+JRNDcrJ49Oe9FxSwajbphudDdvn07fvOb3+Bf//rXQfEcj8e5C2UP1ZeoeeES0HhcciB0T7B14FxJQSnC3csRHdgLRbGuaHhvCcwU71Rq/+UHA2XNUpt+cuMXaNm5Gy35TYiNGYro4D6Ir98K59byLs5gQD1WvhqqxyYaxhLFsfjpHXsQ69sd8Z5dEF/dKCl0HYVOnD0XRAcCYLLRjO00jFlGC5bSMEDDXDgFRSlNyYkd2SZ4K4fV2Iymt/+pzpBSWM0taPl4GVDSEwAQ7lkBs1MHpPfVAhYFIRQdkZk1E1nCTp8eIsAVZp1dB67Z366j3iSJYaQV5cxZPfZZMDpBEJBYBEjzy4RcFOavKNNTjSa8bRXgFENvlZAIZZYpxHo0rBTMVBxmUQcUjKi0zxhKJEEbmwEUKUlxcCw0hLiy2ErDqCRx7GOu4ig+YyryRg5Cw9sf26eop+z2aERCgKK6i5AGqxYZBTGEizsj9eVuLvMSkkbYLZPNIduBFhD7qpUwKPKJt/zD3A7DFJAg3KsC0UF9VCW1+S0ptAfhzFJ0OVKYG+LbJCFAZ6RQTpKMDMSFVxF2WQtnT0TBpBHY+/D/uhbCziSNr5n1+GO6GBDUmf6m4yvl/+2ldu+1T5fOiLSMWLjKrINBgCVpz7IYHdLXljHTLnuSJLbRMIZl/N1cwYVM5I8eBJNQtPxzGWjass9PUo1gmpvmASD9xU6YhQXai04JgNKzqxHq2gktKzbAamyBWVSASN+uqH/jX0hu28XFjw3rh5KzZ4L4jIUBjm0ckhI0Z84c/OAHP8D999+vjfPDH/4Qp59++kHRveuuu3D33Xf7xlm8eDHy8/OVClYikXD9fUQ478Wb7ePxuBuWC93rr78e9913nzYfHe67776sZcsGmrbQumwtdw4JC7tzss8jMWDv1DGIc8AYQeH0sQh1KELDC/Ihlo4SRUEQ1voIeLCaW9D0+vto/Ww1Cs+Zg+S2XbBaZOUMsPuxUlgYS+KuEpTvKDIEoImkfVbKxi+EJQoVF3rzve134HVGI4wEhiPhJOPkdI7ZgH3UzNxH5OXaCSmXFtL8IN66bK3/RNWiiK/+HJjYHTAMEEJQev6p2P/kK6DJJGB5fXq2fUkhTSENAkwVrDygFJGeFWjZtgcigyQaRvGcSbBeX80F5cFCCwz0JvbSWWeSQl7mEDnHL4JSoJ+RRG9SC5PwAyKQmSVTu1AF08Yi3KsC9a++D6u+wVNUpSUH++yp1Je7EO7bE+kD8mTAv36JS/c0swlJau/ksRUAChKLIL9qOAghKDlrBormTEa6th5WXT0a3/wQYHS5r5iNqIGJvpmDOykoEDLR4WtfQXRdjb2zqq6e40nkrSPSGETiKMgElHIKu9OSCd+SDYLYqMEo/so03zN3SCiEcPdyJLft1sYBpQjBwgVGHX6d7pDJx3b8piVFks+Rw0Pe2EoUThtjO/dXDUfTe0vcb7eQ2dGlaqXdjRQ+s9w5lox4EqHuXYCdX7qvDEFwRmEBIn17AMkk15+dbjShFgY6OgcWUoAQAyXzZ6LxpbeQpBZovFQoDVBpxLEjHco4wouhvLzQ2IjIoL5IrN/KW8JNA8VnTEdsaD8AQNGMcVzSTv82H8ld+5DcvgcwCKL9evguZwY4PnBIStCtt96KWbNmYfz48bj44osxZMgQFBYWoqmpCWvWrMFzzz2H/Px8/OMf/zgourfccguuu+463zidOnXCtm3bkEqlsHfvXnfpqqamBul0Gv369VOmc97v2rULPXrYB1tRSrF79243rF+/fr50GxoasHTpUjzwwAN44IEHAABr165Fa2srqqurMW3aNPznf/6nMv/vf//7+O53v+s+19fXo2fPnrmKxuY3kXRntYDdAbMYZsSxLh1BD5Lgl7KYTiaxfot0oJuD6WYzVltRVBktbgcSYpxvVZ1KetdetH68FGXXXoCGdxehdcXGzMyVwOxYBGt/HTehO8tsRAIEhQxdo7jALlfCm2mWIeUNTJ4EEOpQDHqgVuKjE+P3wfk8EDXvXUg6c+Gl3Q4uN+vQCsM9EJEAMMtK+bLWNih7fm45KZ0GTSZBMhbHcNdylH3jAjQu/BTxpWsYWahGjwzvrMXGqSuSOVVbHHUMglB5R0T694TRvQuSO2sQiRUDhoFI3+5Ib9yE5lf+AZoqcyQCALjYrEcLU95zzEZPYaE2H86z6fJmCzQ6oCciA3vDqm+CUZiP2IgB7rJh9KZL0fj6QsSXLFeUz6Of2r4Hod7dEV+9kSt/DitdLgiBu9xkEDttpEcXbhnJiIaROlCLxuf+njnl21ui7Gmk0JMxDRGDIDbKW56KVfZDtD4EstS+aJbnjbo8zHTPquFjOE9G2ETR2dUgpulagHJ1pI307QGrNYF0zQFPk3DaBKXubkexnRMARksTYpNGAou+gHM7sVFciIIpo5A/0bvnqmDqGCQ+32ZbOSi7XOqoVDy6khTOCTWgGBY+s2JYacluD+Gu5QiTBLB7q6JQYRRMHwdiEEQG9gEpyANtbgUohUmAMvZwUYMgUtkXja+8nTkQVn20QX8jiY6kHsWUP2JCBWIQhEIEKIrCqLUyB3sCYdMCibeCUqo9/TlcUYZwRZkyLMDxiUNSgmKxGN555x3ccccd+PGPf4y6Onv7NKUUpaWl+OY3v4k77rjjoE+MLiwsRGFhds16xowZCIfDWLJkCebOnQsAWLJkCcLhMGbMmKFMM3LkSJSXl2PJkiXu7fZr165FU1MTZs+enRPdoqIiyefoqquuwpYtW/Dee+/58hyNRtvsI0UiYSBkuopQf5JE3Gh2B/NOJI0rzDpE2S6CUlvJcB5bE0oFqJykUEYsDDV4S1gXpNDfSKBEd5cWpYgvX4uCOVNRQv6ZIQAAOLZJREFUeu6psM6YAauxGUZeFCQvivpX30Wc2QbczZDXI/LGDgVCJkg04p5r0oukUG00oSNJZ3bCACAEkf49EP+0TirD2UaD23E7TppcT0gIjJJC7XlK+YQiXyhjfhXv82XkxTgl5OxQA7ZaYQwngnOwyX9WobJSlM6fhXpqIb58HeQDFDPWDdiOyZG+vZHckZltDuiF/EmjQJNJ1D73pr1sYWROJbQowt07o/Tir4B8vB0kGkGkT3d0nGM7aTa88HekNm1jaHvaVZjAXtpx9C5OVoJ8mGezvANKzputvMcLAIhh2NunmWUcB+wVHzSVRuqLHUh9uQX24qtnL+lEUthLbRlONZrds2AyBk1Q5xZWy1PMHN7C3btweVpNzWh4/g2GF40FjhCQcAj5U8cAjZm4hoGS8+cAy55hnKUpJ0t+hZFRwMMhmB2LkTdyMPLGVmrllRWGgdiw/kjXNSLStB8R0gKjqACxUYOR2LAFiY8+VRcHAFIpmFYKRXMmo2lPPUCA8rOGS0s3JBxChyvORvO/lqP54+VAQwNDhylj5toTArh9zhSzBVVGC36XKvUIhkL2qddTx6DEHILmJSuR3lcLEo0iEuuKUNdymMW2EkhMAyUXnIba//1r5q5g1mRLYBQVIty5A1KrN8BrI2wT9WTegcjL5F2RwjJROJQiuXpjJiLj05hIovn/PgBNp5E/Y4KYKsAJikM+MToWi+G///u/cd9992Ht2rWoq6tDhw4dMHjwYF9fofZAWVkZrrvuOjz00EOYM2cOCCF45JFHcN1117nb2GtqajB27Fg8/vjjOPPMM2GaJm6//Xb84he/wBVXXIH8/Hw8+OCDmDdvHoYPH54z3aMJYhqIjRqC1s9W2z4mBjCM8kpLjN02TQASCSFU7vFulpVwlqBLzDo0wUCZxnmSEOBUs0maWXENJ20htasGkX49YUTDMKIlblDxvGrU1tYjuVlxZhQhMDt1QGxMJQghiI2tRMu/lru+RYPFSx0pRaRLRySstGQzcJaPSGZJo3j+bMQ/3wak0ghVdEJJaWfk7WhEYvOXwO7NgJXSL20RINKvJ2JjK7nX0RED0bxgsftcQdKoMBnFiRCE+/T0TmYWEO7eGfFl3qFqfEeesT6VFKH08rOUM9Hy716B+NpNSO6wt+tHBvVGOGP5oPE4rJY4SNj2e0ofqENi1QZuUFFtU5bLTkAIQfF5s2E1x9Hy2Wrb4lNUgLyxlcgbPcRWxv0QCYMV7myzEZtpBCMJ65htIbV1B4hpP3uWS96SVwDKtWlCKYovOg2JTdvRuupze6Av74iCwQMRa41K62/xT1e7ChBhZeBY1TKaldmhGMUXno5QxxKg8YBHgFquAkQA9CYJ/Av57rP31x6ejfwoSi48HeG+3Q/pLimatpBcvQGtH61Ga0McJBSC2aUTzG6dUTBmLDr096wQyZXrfdakAFgUrZ+tBpnd11XCdL4rJBxCwfSxiA7pg9pfPCOHu/+JqruwdEsIwt0728vBBkFsWH/EhvV3g8P/4K+yAIBIvx7o8G8XoOn9xUis22J//5EwYmMqUTBjHBpffx+OAsTr6uo2wz71JCnMNRo5B35CLS+iAi3vLUJswgh70hPghEebr80wTRPDhg1rD14OCg888ABuvfVWVFVVAQCmTJniLlEB9jb2lpYWJJPeboebbroJjY2NmDp1KsLhMAYOHIjf//73B0XXwdKlS/Gd73yHWw67/fbbXQvS4UL+9HGIr97oHqCmhUEAYqDglIlAizcox8YOQ8tHS93nQkJRyDoyZ+m355iN+NjKw6mmcL6JpsMnhoHSS85Cw5sfoPWzNZ6fDSGIVvZH0VkzYURti2He1LGIr9hgb5dXWKuiYyqR3LCZ6ffVDpDRPt0QGzEQsREDPXFs3AuQJkT69USHs8aipP4AaCqFdH0TWpetQ3q3fby+UZiPvIkjkD9ljL18wSBU3hHRkYMRX7FOzpoQwCDImzwK+ELtdBkdORiN//iIO1hPRN6kUdrBk4RMxIYPRGy4V67Uzj1o+b+FaN3Q6J51VL9rFcweXd32wfuzOL5WTLm6dwFNJO2lhwG9kDd+OMzMNRX5VcO1vOoQreyP1n8udZ/7G0n0R0K+kd3lz+NT74liN878mRMQq+yPWGV/FJ/pWX33724Alu+UUiW/3CUogo7PjLeTkBCKDt++xJ280eZWWAfqnH3o9m6hFtsPi7U2OIdqUhCQogIUzpmC6LABWiU4G2gqhcZn/4rUxq1Ip0sAywSNJ5DavA2p7btgdZ0MwFOCaHOLfx8AAIkkqOaMLxVUSlIJSWOk0Sop0Vx3kak8oyBm70RsaASt0J9BJiLcrRylXzvD9g9MJEHyot73R/jbzXobCWzN3H9oH3rJHDNqGPZ1Ngfq3clUL8J+bzksuabTSKzeiNi4g2/7AY4/tMvdYUcD0WgUjz76qDa8S5cu2Lt3L/eOEII77rgDd9xxxyHTdTB69OisS2CHA2ZpMUq/fgEaXn7b3ibvjByGARKLgLbEQcIhRIYNQP6UMTAPJEHX7ARMA5TapxjnzxiP5gVLeMJOjxYOIzZ8IMyKTmh66yMgmeQ6jX5GEv3EczIiYWkZggUJh1B8VjUKZ01CcttOwKIIde8Ck1mmAwCzqACl/3YBGl59B8lNnlMlwiHkTx6N/FOqUPvT37iWA5Pbw5bxeYAFNMkH0FlNLfbAZhog4QpEKz3fsfwpo0GbW0HTaRiF+b47PYrOngUSNtH66RrHa9NecizMR9F5c5DoUAZ8sU2Z1ohFUXzB6ah/7u9QDfSRQX2QJyzB+SG1YzcafvdCxlei1H2f3rkHqR17OCvBQBLHBhrNDN4UJuMLU3T6FIR7iSdJHzpCPbsi1LsbUl/slBQdFQiAiUYL/p4uxDAjDlBgL0whFUF0WH8UzJp4ULwQg/exGmW0YgcNYQBJeK2H2E7sVmMTWl57F02rtiGRtttm/YZFIKEK9fyA2L5IFBQGTSI6YmCbdgm1vvcxUp9nfGg4VzgKJJJoefefoKN6uUqyUVLEWXWHkzhWUn7JneTn2UuIyaSk1KtgdCixd6Vlus48YuFi5jgHxx+n4CszkN5Xi8S6zaCtcRgkZDs5NzYhuc52GWjetB6pslMQ6qbvG0SQSFiyNEb69UBy1TpX/pONZlcJIvAuWTXLO6Lk2q+BJpI48MTzsOobtZtIHPQkSRygJu9CYBDt7rEAJx6OWyXoZEaoUwd0+LcLkNq9D6k9+0DCIYT79nAtKgBAW+NofedDNC/eiETC7hgbt36K6MxJyJ81EUZpEZoXfAKrNtPBRcLIGzvUDsvQiY0chNZl69Dy4SegDfqTbfMmjMi+RALAyI8hOrivbxyzQzFKr5yP9L5apHbvA0ImIr27gThly+ymIcR2nu5PWpGPzDk0zpJYyGvWVl0Dmv/+LppX70QiszOtcf1naK0ei+gke3cMIQSkwOemcAYkZKJo3izkz6xCYt0W0EQCZnlHRAb0AghBeuVmpL/Ybv/eWQqzK3/tRnRwX3T49wvR/M+lwGc19mw1P4Zw9y4ovmhKTjd0O2h+/V1bARKtAc4z83qW0YRmy8B2GsYExvEdAOds3x4ghKD44jNR/+xrSG3dYc/kqTcDVw1LvYwkriS1iIIiCWB1KpqxO9iXcBICRPoc/AWV4f69kVj9ufs8yRAGN4Mg3L8naEscjb95DlZdPSijSNDWOGiqESoTKWtho00tsOoaYHYokeLlAppMoXXxMv0SLaWg++uQ/mIHQr1tOUTHVKL1X0vdKB1JCmCVIAKEOxai9c33kUgAIARNtRsQmzFRapduEoMgb+o44BWNY7tBEOrcCXlVI0EIQWrYADS9+BrQGIcoI1rfiMYnn0fRv38NZudOano5IDpiMJr++g4c4ZRkdjNGiLcXlCDjjxYO2T5O/34hGt/4APFVG93lUKOkELGqEWj9x4cu7QmkBaVGGj1Ya5FFbUUwwEmBQAk6jhHqUoZQF3mnAm2No/F3z8Gq2QekvXVta+9+tPz5ddC6BuRNm4DYmKFI768F0mmYHUokRcbIiyF/0ijERg1G3e9fQXonY13IzEAjQ/ohf9akdi+bWVYq7c4CgEjlAMQXe35Dp4XEZTkgPMS28lgNTWj4zbOgTU0A9eRAW1rR+ub7oI1NyJsz/dD4Ky5E3gTPXJ7eux/Nz/4VzXvqkErbfDc+/inM3j2Q/9UzYRR6Vq9Q13IUnzcH+UXrwS4qHIwClK7Zj/SXu7LGcwdqApxlNKCB2RHmBJjl7e/vZuTFUHLVeUh9uQuti5cjtZy/I4tf+iIABWL21iT3Wg+S4ZsQ2Lvdhg04aD6iIwej+e2PQDXHN8Ci9jLsPzMTAu3ykvd+ktmMlVYMk6Szkw7eB8hBeu9+gLnsVGk5IwTJL7a7SlCoohzR8SMQX7IiwyGTPwFMw4K1YxeQLAYQsnflrd2IxvWfo+Cy8xDqqz7gLzZhBEJLdiG1fY+3zO1YPEuKUfw122ctuWEzmp552UklE6IUSKfR+u6/UHDRWQcpEaYokTDCg/oguX6z2ybONetdtpwf4X7eblujMB/FF5wG64zpSO+rAwmHYHYuAzEIUhu3IrVlO0ApQgSoFH0PwyFEK/sjwMmB4ISnExDxf35iK0CaDr317YWwauvtraKdOiDUpZOvJcfIi6H03y5A0QVzER7QG2bXzogM6Y/iy85B0VfPyMnM3l6IVY2SDx1xQAhINIromKEAgNYPFoM2NmlN4vEPl9hKYBthNTah6XfPwdq3P/PG87tJb9uOpqdfBE3p/IAObeC0DtRxz+UZv64w8fxrnKUL15GVQFKAwpX9YRTxy5LtBUIIwj27Im/SGO79KWYjIoRimuHs1GO41OggeVPHwSg4+PuZSCSM4ivmg8SEnZmZNlRwZjXCfXsisWSF9nshzP8AMNpoxaVmLSdLo6TIXp5qJ5xiNiGPWJhuiuf88O2l4Mxq5J06WSgfQaikAER1pAK1dxU2v/g6aFptASTE3roeG1uJUNdyhLp3QbhfTxSeMxsdvnkJzJJC0LSFlpff9BzMdbAokms3grbK16scDPJPmSxu9pR2NEbHj5TSGfl5CPesQKiik700CqDgtGm2RVnje1cwZ6pneQ5wwiOwBJ1goJQisXhZFodJgsRnKxE7ZUrOdIlpIjp8IKKMU+7RgNmpAwovnofG518DUvwOLxKLoOjS+TAK8kEtC4nPVvrLgRAklq5G3qzc5aBCYtEy95wTCRaFtWcfkqvWIzJqaJvyYSFedzDHbMBSKw9DmasuCAGik8Yg/vEyUEtwSibEPjPmjOp240kHs7wjd/xBOUnjavMAt7GJuvv0BRmGTOTNGIu8GVWHnH+oa2eU3ngl4kvXILF+E5BMI9S9C2ITRsDs1AE0nbadjDMoVh4HwfMljp+xKWPdQfZQYJZ3BIlFXWWhjKRxhVkLQoCFGf8kUIpQ3x48HwZB/owJyJsyBgWfbUZkc629nL38XX3bpxS0qRmp9ZsQrtR/z0ZxEaKdSlE6U7aKpDZuyZz0nQMohdXSClNURA8Coa7lKDh7NppefYs/5ywj88Lzv6K0HCtpdeuM4qvPR9Pf3kV6Z437nhTmI3/2FMTGtN93GuDYR6AEnWhIJLkOvUBzp5jVDhaQo4XIwD4ovekaxJeuQWqb7XMS7tsT0ZFD3BkcjSfcwxcB+64rFVyfqDYgsWx1VmUruXytrASl07Bq9tn1FTJh7SuHUdYhpzzN7hUgxYWg9bY1pYBQTDWFQSkcQv4pkxCbMBItCxcjsXwdkE6DxKKIjhuO2NRxMHL0hWoLSDiEaNVotH6wyNUl2FUWGAShLuUouvZr9hkun3+B8IdfgIRCKJ45BPk9sy/XZduNbuRFkTd5NPImj1YEGkA4bDv2AuhNkphkNKGcOQSTAK4/mpcusyQ8dhiiE0Zl5dGX/1AI0Ulj0Pqedx0PEUwfRqcOMLtXyIkz6cNdO8OspaANjdxp5wXEQo3YPA0D6T37fJUgP1j7DnCO9w6KSBoNVLAMGwRGftvbWXTsMJjduyC+eDmSm7cBIAgP6I3YhJEwO+X23TgI96hA6XVfQ2rXXlgH6kDyYgj17HpQS9IBTgwEStCJhlCImykNJnHsNULoTpgdXYQc9+ZeIz8PeVPGAhirDCeRMHdg3yASx7sQnB0J2kUJYE39SitC5l4xFomPP0PiwxU2f8T2iWl69FOERgxB7Jy5IGH/T5MYBPmzp6HpL29o4+TNmAgSjcCMRlA4fw7o2bNt61k4dEhn2LQFsZkTkdq1B6kNW6TBkxQVouCizNlImaWY0BbbamREszvctxWEEERGD0Xik+WZO96AMaRVihcdMwz5XU3EV6wDjdsO8bHxIxHq26Nd5BmbXoX07r1IrtkoyygWRd4pk3PLR1ienm40gQIYxpaJ0qxtzA8kGuH4Oz9Ui1VWDFVGM36fYpRWQhAeOlDqb7Lt7Nch1KUTQmfNOrTEKnoVnYCKQ3faDnD8I1CCTjAQ00CociBSazbYuxwIJL8CWBbCwwYfHQaPEIhpIjx8MJIr1wJpCyHmQk8DmR1VFhAeWZmFUnYYHUpg7doDUNsic65Zx9xGD3smnLHw0HgCzX/6C6zN2wCr3A5nRoTUynVopUDehdkdSSMjh4Amk2h+c4Ft9XKUX9NEbEYVotPGc/GJQTIHGR55kJCJwq+djeSazxH/ZAWsfQdA8vMQGVWJ6Oihrk8LpRTW1m1Ib9oCWBSpvBbQjsMP+eydXBGdOg6JFWtt52TFCG10LIVR3hGxiX0Rmzj6sPBATAMFF56J5IbNGRnVguTFEA53hdmlHCRHnyiSH7PbZMZvrJBYOMNs4CNRitDg7M6/Ol0lNGQA8Le3QSx7e3pnkkZnsZ8BgEgYseq2LTcHCHA4EShBJyBi0yeice1GgFDloX5mr24w+/RQpj2REJtRhdSqdd61Gxk4F0ySigqENFuFDwbR8SPR8te33OcKIjhBWxTRcSNALYqWP/4F1pYvoQWlSK1cC+uUKTA6ZV8Gio4bgciIIUis2QirrgFGQT7CQwcck6fdEsNAZNhARIapl2Cs+gbE//gXWDt3w0rb9RLfsRbNHy1E7OL5MHsdvjZrdihB0TVfRdOLr8Pas49hmsDs0gnhwf3asPcrdxCDIDK4HyKDvXOsTMUpy1moIFo9GS0vaayEhCBUOQBmjkuvKhgFeYhMGoPER5/YL6iwzgmAFBag6KpzD3qpKkCAI4lACToBYVaUo+DS89D84mu2v4nhXb4Z6t8b+RececSXQ44GjLyYfZs2+D1YxHneuQvpL75s8+AaHj0UiWWrkd62U2lFCI+qhNmnB9IbNyO9ZRvLgRqEILlyHaLVk3PKn0TCiI5qu0XraIKm0mh9+jnQ/ZkrK9xBFUBzC1p//zzy/t9VMMoO3/U1ZpdOKPrm5Uhv22E7zIZCCA/ojfAi+STqYxHstaKRUUNBG5vQ+tYHXgRCAMtCaEAf5M9v+8n2sTnTgbSFxKKlmfwBQm2LKykqRHRwdxil6h1zJ0H3E+A4QaAEnaAI9euFou9ei+TajbB2Zzr0wf1hVpQfbdaOGJKfLAfSll7dMAgSH32CvDYqQSQUQsHl56P1nQ/trdYZB1uSn4fI5LGITptgHyy3bLXr/yOiEPzWdRpv25bi4w3pNetB9+5XB2bOm0n+8xNEz5qjodA+oyohBKFe3RHqxR7MeHwoQSKiUycgPGIIEktXw9pfCxKLIjx8sO1U3w5aCDEM5J1xCqJTxyOxbA2spcuAffvtM44aG5FashQtK/+JyDlzERoR7LgKcGwiUIJOYJCQicjwwcDwE9v/R4fUpq1ZzzBJb9rSLnmRSBh5c6sRmzUV6Zp9IIYBo7yM82WxmpoYfrxBaLrRiIHsTfSWlfMusRMFqVXrlLuNXFgUqRVrfJSgkxvUspDe+iWsLbsAw4C1uwOMLuUwiosQm3FwV40cLIySIuDLbYBjxQPgXk6bTCLx4l9BCvJh9utzWPkIEOBQEChBAU5cCANqD5LAPhpCVzA75Q5xl4oOJBJGSLON2SgpgWUQUMs+HPBCsxaN1EBfQz6xNjx8SPsydoyDxtUnOpezuxqTSSk8AGB9uQPx519CqjYFy7Ivvo0/tghG/76IXHCOdKZUu+e/aw+sdRv1EQhB8t0POSXoUHeHBQjQ3giUoAAnLMzePWBt/dLtcc826uy7Zh0jjEFg9j5yDuLhscOR+myF+1xOkihXLEvEzpojn3B8gsMoL4O15Qv3aIerzH1oBeHOdyInmXUMsHfL0eZm+yiFhOxfY+3bj/jTf7KPPkCM0y6sTVsQf+Z5RK+5vE0HOWZDavU6/gBDEZTC+mIbEn/5K1LL9gNpC8liE6mWYTDHjj7sO/8CBPBDcDJUgBMW4fGjbKfwDAgRbtywKMKTxx0xfoye3WGOrBSvmfR+miZiF85DePSwI8bTsYLwuFHcIFpALJQRfldfuGqMmOyERuqz5Uj87HGkF32K9JKlSDz3ZyReed1Wipw4Hy0C0im1aYVS0C93wPp88+FlNJ4Au7xblNmN2d9d4qUgoLBWrLIv66UUtKEBqdf/D4n/fc7nSpkAAQ4/AiUowAkLo7gIsQvn2YoQq/1kfkdmTUOof58jxg8hBLH5ZyA8YzJIJOINGwQwh/RD4S3XIXyS+m8ZXcoRnqnZDUcIjL69EBoj3w11oiK14COkXn4N9ECt9zJtwfpsORK/+QNoi33wYXrFKr0FBgAMgvTK1YeVV9Kpo3soKQBcbO7HBeZ+9CNxOAqQfWOuzCfd+gXSH/zzsPIXIIAfguWwACc0QpUDkf/Nq5D8+FOk1n9uOx337I7IpHFHdCnMATENRE+dhsj0iUhv3wmk0zAqOnO3zJ+sCJ8yDaRjByQX/svbKZafh3DVGISnTzpplk2sA7VIvfO+OpBS0P0HkPrwY4RmzeCuhulMFD5TFm3z5aXZEBoxFMk33sksyQFRQlEBz7rjuxGNUqQWfQpz+tTgyooARwWBEhTghIdRXoboWXMQxbGzs4hEwgj17XW02TimQAhBePRwhEYNy9x/lQYpLgIx9coPpRR09VqkFn6C9PaE7YS7fwXMKRNh9Dw+DwRNf7YcGdOJOgKlSC/51FaCiouAevs06M4khfNCB1DIHg5qEBgdSw8rvyQWReTsuUj85W/ydR+ZEyFEPSjMlq25GWhoAEpLDiufAQKoEKjeAQIEOKZACIFRXASjQ2lWBSj9+ptIvfAXYOdue1kobYGuW4fUb59G+rNlR5Dr9gO3BMaAO0uqpRVIJhCaMJYztXQjSRSzlwVbFObYtl3umgtCo4YhevlXYfTo5r0Mh0AquoAwfnmnmPXoQpKYZDTyBHzqOUCAw4nAEhQgQIDjEnTNOliLhWsbANdHJv3qazD69AbpUHrkmWsDSCzGWVTOMg7gS0RQSZhLeA0DCIURqhqH9Mo1oHtqlD43oWmTYJQfmQtCzQF9YQ7oC9rYBJpIgBQVwvpyB5JP/9GNM9xowXCDv0yYdC4HguXgAEcJgSUoQIAAxyXSHy/Oev9C+pPPjhA37QdzeCXnaNzXSGC60cgd7WAMGwJiGiDRCKJXXwJz/BggxMxpS4oRPut0hE6deWSZh31nmNGxA0g4DKNPL5CKLsK2TB6haZNPimt8AhybCCxBAQIEOC5Bd3h3tZkq/xlKQb/cfoS5ajtIrx4g/fqAblaceE4IYBgITfd20pFYDJEzTwOdXW3fvWaaIJ3KDvlsIErtay+QTIC20UJDCEHkkguR+P2fQPfu8yxcmXOFQqdMhzny5DsSIsCxg0AJChAgwPEJxtekJ0mgpxFHOYQzZ47DHWWEEEQuPg/Jv/wN1tr1tuKQufwUBfmIXDgfRpfOcrpoBKRrlzblTdeug/WPf4Dusg/rpMRCesciGHPngvToniW1pjzFRYj8v6/DWrse6VVrgUQCpFMZzHGjj9hSXYAAOhy3SlAikcCtt96KDz6wb0meOnUqfvrTnyISiWjTUEpx77334uWXX0YoFMKgQYPwi1/8AiUl3q6EXOk+/vjj+NOf/gRKKbZv344ZM2bgySefPAwlDRAggApk0ADQVWvsYw8IcK55QIpjDBxwFDhrO0g0isjXzoe1dx+stRuAVAqkS2cYgwYctq3kdNVqWC+8mHnq6gVs3wHryadgXH3VoStCpglzWCXMYZVtZzRAgHbEcesTdMstt2DVqlVYtGgRFi1ahDVr1uDWW2/1TfPwww/j+eefxwcffIBFixYhEongiiuuOGi6P/nJT/Dqq6/izTffxIIFC/Dyyy/jtddea/cyBggQQA9zUpX+EipCgLw8GKNGHFmm2hlGpzKEpk1CqHoazMpBh08BSqVh/U3Th1EKWBasN948LHkHCHA0cVwqQfv27cPjjz+Om2++GaZpwjRN3HTTTXjsscewf/9+ZZp0Oo37778f3/rWt5Cfnw/AVnheffVVrFy5Mme6+/btw913342HHnoIsZh9MeGIESPw4osvKvMNECDA4YHRvRvM886xl8VEx9pYDKHLv2bvtGoLtm8HNm4E1q61/9bWto3esYqNG4GWFn04pcCXX9p+PQECnEA4LpfDFixYgGQyiQkTJrjvJkyYgGQyiQULFmD+/PlSmuXLl6OmpoZLU1lZiYKCArz11lsYPnx4TnRff/11FBUVYcgQ/pbvGTNmtH9BAwQI4AtzxDAYvXoi/elnoF/uAEwTxoB+MEaOaNsltMkk8OKLwLp1QCqzBLQnBTzyIVBdDcycmXVn2vEEWlfHbcsPE4okJehKEnzEulqgU9mRZzBAgMOE41IJ2rRpE0KhEDp18pzqysvLYZomNm3apE0DABUVFe47Qgi6dOnihuVCd8WKFejevTt+85vf4JlnnkE8HseoUaNw7733culExONxxOPe8fX19fWHUPIAAQKIICXFCJ3SzlvB//pXYP16+7e75Jb5+957QFERMO7IXb572JGfzy0tfs2swRorH2PEQw3zg/N8ApxYOC6Xw5qbm5UO0JFIBM3MDctiGgCIRvnZYTQadcNyoXvgwAGsXLkS77//Pv7xj3/g/fffx4EDBzBr1iykfG5Dvu+++1BSUuL+69mzZ26FDRAgwJHFgQPA8uV6fyMAeP997iyf4x1k0CAgHHafO5A0ppgNyCOMDMrKgIq27T4LEOBYwzGlBN11110ghPj+W7JkCfLz85FIJKT0iUTC9fcR4bxnrTHOsxOWC13DMJBMJnHXXXchFAohHA7jnnvuwYoVK/DWW29py/b9738fdXV17r9t27blJpQAAQIcWaxfn32pq74e2L37yPBzBECiEZBqf2uaMWd2cKhhgBMOx9Ry2C233ILrrrvON06nTp2wbds2pFIp7N27112CqqmpQTqdRr9+/ZTpnPe7du1Cjx72xYqUUuzevdsN69evX1a6jgXHoQEAvXv3BgBs3rxZy3c0GpWsUAECBDgGkeRvYx9gtGKjFcM4cWnIx/J7PIJMsQ9gpO+9b8vA8RHKzwc54ysgQwYfZQ4DBGh/HFNKUGFhIQoLC7PGmzFjBsLhMJYsWYK5c+cCAJYsWYJwOKx1UB45ciTKy8uxZMkSjB8/HgCwdu1aNDU1Yfbs2TnTnT59OgBg586d6NOnDwBgd2ZG2KtXcCt4gADHPbp04ZbCzjT2o9YIoQN7EKNhAB07HgXmDh8IISBTp4COHw+6fj3Q1ARSWgoMHOB7kW2AAMczjqnlsFxRVlaG6667Dg899BDS6TQsy8IjjzyC6667Dh0zHVNNTQ169uzpnt9jmiZuv/12/OIXv3D9ex588EHMmzcPw4cPz5nujBkzMHnyZDz00EMuPw8//DAqKytdZSpAgADHMfr3B4qL3SUxgwAdScpbISMEGDoUKDgxnYRJNAJjxHAYkyaCDBkcKEABTmgcl0oQADzwwAMYMmQIqqqqMGHCBAwaNAgPPPCAG25ZFlpaWpBkTNs33XQTLrzwQkydOhVVVVVoaWnB73//+4OiSwjByy+/jN27d2Ps2LGYOnUqduzYgf/7v/8LlrsCBDgRYBjABRcApsldzQHAVoBKSoDTTz86vAUIEKBdQSj12wIR4HChvr4eJSUlqKurQ3Fx8dFmJ0CAACJ27wYWLgRWr7Z3gkWjwNixwLRpJ6wVKMCRRzAWHF0cUz5BAQIECHDMoEsX2yKUSgGJBBCLyZahAAECHNcIlKAAAQIE8EMoZP8LECDACYdgWhMgQIAAAQIEOCkRKEEBAgQIECBAgJMSgRIUIECAAAECBDgpESx0HyU4m/KCi1QDBAgQ4OSFMwYEG7WPDgIl6CihoaEBAIKLVAMECBAgABoaGlBSUnK02TjpEJwTdJRgWRZ27NiBoqKiQ76UsL6+Hj179sS2bduC8yUUCOTjj0A+egSy8UcgH38cjHwopWhoaEC3bt1gBEcwHHEElqCjBMMwuEtY24Li4uKgI/JBIB9/BPLRI5CNPwL5+CNX+QQWoKOHQO0MECBAgAABApyUCJSgAAECBAgQIMBJiUAJOo4RjUZx5513Bhe3ahDIxx+BfPQIZOOPQD7+CORz/CBwjA4QIECAAAECnJQILEEBAgQIECBAgJMSgRIUIECAAAECBDgpEShBAQIECBAgQICTEoESdBzjpZdewvjx4zF9+nTMnDkTq1atOtostSvuuusujB49GtXV1e6/c845h4vzq1/9CmPHjsXUqVNx5plnYvv27Vw4pRT33HMPxo4di6qqKlx22WWoq6vj4iQSCdx4440YN24cxo0bhxtuuAGJROKwl+9QkEgk8P3vfx+hUAhbtmyRwo+UPOrq6nD55ZejqqoKY8eOxd13331MHPvvJ5+rrroKkyZN4trTN77xDS7OiSyf559/HqeddhpOPfVUTJgwAeeffz42bdrExTmZ2082+Zzs7eeEBQ1wXOLjjz+mhYWFdO3atZRSSp9++mnavXt3Wl9ff5Q5az/ceeed9N1339WG//nPf6ZdunShu3fvppRSevfdd9PRo0fTdDrtxnnwwQfpsGHDaFNTE6WU0quvvpqeffbZHJ3rr7+ennrqqTSVStFUKkVnz55Nb7jhhvYvUBuxefNmOmnSJHrFFVdQAHTz5s1c+JGUx7x58+hVV11FKaW0qamJDhs2jD700EPtXeSDQjb5XHnlldI7ESeyfMLhMH3zzTcppZSm02l65ZVX0oEDB9KWlhZKadB+ssnnZG8/JyoCJeg4xXnnnUe/+tWvus/pdJp26dKF/s///M9R5Kp9kU0JGjt2LL3tttvc59raWhoKhehf//pXSimlqVSKlpeX01/+8pdunFWrVlEAdMWKFZRSSvfu3UvD4TB9/fXX3TivvfYaDYfDdN++fe1corZhxYoVdMOGDfTdd99VDvJHSh7Lly+nAOjq1avdOL/4xS9o586duQHzSCObfLINYie6fC644ALuefHixRQA/fDDDymlQfvJJp+Tvf2cqAiWw45TvP3225gwYYL7bBgGxo0bh7feeusocnXkcODAAXz66aecDEpKSjBo0CBXBsuXL0dNTQ0Xp7KyEgUFBW6cBQsWIJlMcnEmTJiAZDKJBQsWHKHS5Ibhw4djwIAByrAjKY+33noLhYWFqKys5OLs2bMHy5cvb78CHyT85JMLTnT5vPDCC9xzLBYDYC/PBO3HXz654ESXz4mKQAk6DrFv3z7U1dWhoqKCe19RUSGt8R/v+N3vfofq6mpMnToVV155JT7//HMAcMvpJwNVHEIIunTpwsUJhULo1KmTG6e8vBymaR5XsjyS8ti0aRO6dOki5cPmcazivvvuQ3V1NaZNm4Zvfetb2L17txt2ssnnn//8J7p164apU6cG7UcBVj4OgvZz4iFQgo5DNDc3A4B0Gmk0GnXDTgT06tULY8aMwVtvvYWFCxeib9++GDduHLZv356TDHKNE4lEpLwjkchxJcsjKY/m5mYlDTaPYxGDBg3CjBkz8M477+Cdd95BPB7HpEmT0NjYCODkkk88HscDDzyARx99FOFwOGg/AkT5AEH7OVERKEHHIfLz8wHYHyqLeDzuhp0IuOaaa3DTTTchFArBMAz8x3/8B2KxGH75y1/mJINc46jM3YlE4riS5ZGUR35+vpIGm8exiB/84Ae49NJLYRgGIpEIHnroIXzxxRf405/+BODkks83vvENXHDBBTj//PMBBO1HhCgfIGg/JyoCJeg4RFlZGUpKSrBr1y7u/a5du9CvX7+jxNXhh2ma6NOnDz7//HO3nH4yUMWhlGL37t1cnFQqhb1797pxampqkE6njytZHkl59OvXj1sGYGkeTzIrLi5GeXm5u8R6ssjn9ttvRygUwo9//GP3XdB+PKjko8LJ2n5ONARK0HGKWbNmYcmSJe4zpRSffvopZs+efRS5al/ceOON0rsdO3agZ8+e6NChA8aMGcPJoL6+HuvXr3dlMHLkSJSXl3Nx1q5di6amJjfOjBkzEA6HuThLlixBOBzGjBkzDlfR2h1HUh6nnnoqGhsbsXbtWi5O586dMXLkyMNazrZAbE/xeBz79u1Dz549AZwc8vnJT36CLVu24IknngAhBJ988gk++eSToP1koJMPELSfExZHc2tagEPHxx9/TIuKiui6desopZT+4Q9/OOHOCerTpw995ZVX3Odf//rXNBqNultH//znP9OKigq6Z88eSiml9957r/Jck+HDh7vndnz961+n8+bN4/K5/vrr6Zw5c2gqlaLpdJqedtpp9Prrrz/cxTtk6LaAH0l5zJs3j15zzTWUUkqbm5vpiBEj6IMPPtjeRT0k6OQTiUTo4sWL3ecf/ehHtKyszD0Xh9ITWz6PPfYYHTZsGP3oo4/o4sWL6eLFi+mdd95Jn3zySUpp0H6yyedkbz8nKgIl6DjGX/7yFzpu3Dg6bdo0OmPGDLpy5cqjzVK74plnnqGnnHIKra6uppMnT6YzZ86kCxYs4OI89thjdMyYMXTy5Mn0jDPOoNu2bePCLctyD32bMGECveSSS+iBAwe4OK2trfT666+nY8eOpWPHjqXf/va3aWtr6+Eu3kEjHo/TmTNn0lGjRlEAdOLEidLZJkdKHgcOHKCXXnopnTBhAh09ejS96667qGVZh6XcuSKbfB599FE6bdo0Wl1dTauqqugZZ5xBly9fztE4UeVTX19PDcOgAKR/ziBP6cnbfnKRz8ncfk5kEEqDs7gDBAgQIECAACcfAp+gAAECBAgQIMBJiUAJChAgQIAAAQKclAiUoAABAgQIECDASYlACQoQIECAAAECnJQIlKAAAQIECBAgwEmJQAkKECBAgAABApyUCJSgAAECBAgQIMBJiUAJChBAgz59+qC6uhrV1dWYNGkSCCEYPXq0+660tBRbtmw52my2Kz744AO3rIezbH/84x8xevRoTJo0CePHj+fuUjpUvPzyy3j55Zfbzlwbce655+KRRx5pE41/+7d/Q0VFBa666qp24SlAgABqhI42AwECHMt47733AABbtmxB37598cgjj6C6uhoA3L8nEqZNm4Znn30Wffv2PWx5xONxXHPNNXjjjTdQXV2N3/72t+1C11GA5s+f3y70DhV9+vRBly5d2kTjN7/5TaAABQhwBBAoQQECaPCd73zHN/yqq65CaWnpEeHlRMKuXbsQj8fRp08fAMDXv/71o8tQO+Phhx8+2iwECBAgRwTLYQECaJCLErR3715UV1eDEILf/OY3uOCCCzBixAhXOXrhhRcwZcoUnHLKKaiqqsJ3v/tdxONxAEBjYyOqq6sRi8Xw3//937j88ssxYcIETJ48GZs3b3bz2bRpE+bOnYsZM2Zg2rRp+OpXv4p169a54YsWLcL06dMxceJEVFVV4eKLL8aaNWvc8DfeeANVVVWYOHEiRo4ciZ///OdcOdatW4epU6dixIgROOuss7Bo0SKprDt37sQFF1yA8ePHY9q0abjyyiuxf/9+AMCLL76I0aNHgxCC1157DfPmzUO3bt2UFpkPPvgAF110EQDg4osvRnV1NXbt2gUAeOqppzBmzBhMnz4dU6ZMwUsvveSmO3DgAK6++mpUVVVh5syZmD59Oj788EM3/LbbbsMbb7zhWpfOOeccLF26VFra+/73v88tM7F18MADD+Dyyy9HVVUVCCGora0FYN8sPnr0aMycORMzZ87EwoULtW3itttuc5dRAWDjxo1u+/j1r3+NCy+8EKNGjcLcuXNd+Tm499570bt3b1RXV+O2226DZVkSfZ2M3n//fQwdOhSEEJx99tkAgHnz5qGwsBCXXnqplt8AAU56HO3LywIEOB6wefNmCoC+++67ynAA9PTTT6etra00nU7TKVOmUEopPf/88+krr7xCKaU0kUjQuXPn0rvvvptL27t3bzphwgTa0NBAKaX03HPPpVdccYUb/pWvfIX+x3/8B6XUvqDxsssucy913LNnDy0pKaHPPPMMpZTSZDJJ586dSx9++GFKKaWrVq2i4XCYLly4kFJK6bZt22h5ebkbP51O08rKSvrtb3+bUkppKpWiF198sXQL+6RJk+j3vvc9l4d///d/p6effrob7tzcfuedd1JKKd24cSO95JJLfGXJ0n/99ddpWVmZe2Hn+vXraX5+Pv3oo48opZSuWLGCVlVV0UQiQSmldMGCBbSsrIy7nPLKK6+kV155Zda8VPF69+5NR48e7dI77bTTaG1tLf3lL39JBw8e7L5fuHAhjcVidMuWLcqyUUrpnXfeSWfOnMm9A0DnzZtHk8kkTaVSdPz48fSOO+5ww//4xz/S4uJi+vnnn1NKKf3Xv/5Fi4qKOD6zyai2tpZ269aN3nbbbZRS+0bzn//851o+AwQIENwiHyBATshFCXrqqaeU6dLptPv8+OOP00mTJnFxevfuTe+99173+Wc/+xkdOXKk+zxy5Eh6zTXXuHS2bt3qDoR33HEH7dmzJ3fD9MKFC+kbb7xBKaX0iiuuoFOnTuXyu/HGG+nQoUMppZS+8cYbFADdtGmTG/7WW29xisPbb79NAdCamho3zuLFiykAunHjRkqppwT5KQesTETFZPr06fRb3/oWF+/MM8+kl112GaWU0paWFrp9+3YuvKKiwi0npW1Xgu666y6J1549e9IHHniAezds2DD6ox/9SFs+nRL0hz/8wX2+6aab6Nlnn+0+T5o0iVN8KaV02rRpHJ/ZZEQppS+99BI1TZM+9dRTdPbs2cHN4wECZEHgExQgQDuhR48e0rumpiZceuml2Lp1KyKRiOsPI6Jr167u76KiItTX17vPd999Ny6//HL84x//wMUXX4xrr70WAwYMAACsXLkS/fv3ByHEjT9t2jT398qVKzFy5EgurwEDBuAXv/gFkskk1q5dC9M00bt3bze8V69eXPyVK1fCMAxccMEF7rtUKoXevXtj586d6N+/v68McsHKlSuxfft2ztl87969iMViAIBIJIJnn33WdX42DAMHDhxwl9LaAyLvDQ0N2LZtG5588kn87W9/c9+nUik0NDQcNH2/Ol67di3mzp3LxVfVg5+MANspfP78+bjqqquwcuVKrl0ECBBARqAEBQjQTjBNk3tubGzErFmzcNFFF+GZZ56BYRh46qmncNddd/mmJYSAUuo+z58/H19++SWeffZZ/OY3v8EjjzyCF198EWeffTYXT4W2hrN4++23pTKKyBauAyEEl112Ge6++25l+IMPPogf//jHWLJkiasA9unTJyv/KiUgnU4r+RTfObRvueUWXH311TmVww9+dazjVQz3k5GD0aNH49VXX8Ubb7yBYcOGHTrDAQKcBAgcowMEOExYu3Yt9uzZgwsvvBCGYX9qiUTioOm8+OKLKCkpwTe+8Q0sXrwY8+fPx69//WsAwIgRI/D5559z8ZcsWYLXX3/dDd+wYQMXvnHjRgwePBjhcBhDhw5FOp3G1q1b3fAvvviCiz9ixAhYliXR+X//7/9h3759B10eFYYPH845ewPAu+++i8ceewyA7fg7btw4VwECZFk6MgaA5uZmpNNpFBUVAbAVUgfbt2/Piafi4mL06tVL4uu5557Dn//855xo5IrKykqpHsV6yCYjANiwYQP+9a9/4YknnsAdd9yBTZs2tSufAQKcaAiUoAABDhP69euHvLw8vPXWWwBsC8Qrr7xy0HS+973vYfXq1e5zOp3G4MGDAQDf/va3UV9fj2effRaArRjcfPPNCIfDbtpFixbhgw8+AAB8+eWX+OMf/4gf/vCHAIDZs2ejsrISDz30kEubHVQB4JRTTsGUKVPwn//5n+6OpRdeeAFr165FWVnZQZdHhR/+8Id49dVXsWzZMgD2MuIPfvADDBkyBAAwbNgwLF++HDU1NQCAjz76CDt37uRolJeX48CBAwCACy64AGvXrkXHjh3Rq1cvdyfZ2rVrsXTp0oPi6+mnn3YVkpqaGtx9990YPnx4m8or4oYbbsDLL7/sKi2LFy+WdullkxGlFN/5znfw6KOP4qqrrsKUKVPwjW98o135DBDghMPRc0cKEOD4wN///nc6ceJECoCOGjWK/s///I8btnPnTjpz5kw37Ic//CGX9qWXXqKDBg2iVVVVdP78+fTqq6+m0WiUzpo1i1JK6cyZM2k0GqWDBw+mzzzzDH322Wfp4MGDuTiPPPIInTBhAp05cyadOHEivfrqq92dZJRS+vHHH9Np06bRqqoqOmnSJPrYY49xPLz++ut0/PjxtKqqig4fPpw++uijXPjatWvplClT6LBhw+icOXPor3/9awqATpw40d1VtmvXLnrRRRfRyspKWl1dTS+66CK6e/duVz6jRo2iAOjMmTPpCy+8oJXlwoULXVlOnDiR3n777W7YH/7wBzpixAg6efJkOnXqVPq///u/blhdXR29+OKLae/evelZZ51Fv/Od79CKigo6ePBg+vvf/55SSumaNWvo8OHD6bRp0zhn4ddff50OHjyYzpgxg95yyy30sssuo126dKFf//rXpTpw3rF48MEHaWVlJZ02bRqdOXMmffPNN7Xlu/XWW2nv3r1pSUkJPfPMM6X28fbbb9NHHnnEjcPuoLv33ntpr1696IwZM+g3vvENevHFF3N8+slow4YNtKqqipaVldFf/vKXdNOmTXTo0KGunFnH9wABAngglB6EU0CAAAECBAgQIMAJgmA5LECAAAECBAhwUiJQggIECBAgQIAAJyUCJShAgAABAgQIcFIiUIICBAgQIECAACclAiUoQIAAAQIECHBSIlCCAgQIECBAgAAnJQIlKECAAAECBAhwUiJQggIECBAgQIAAJyUCJShAgAABAgQIcFIiUIICBAgQIECAACclAiUoQIAAAQIECHBSIlCCAgQIECBAgAAnJf4/FfSIM4IYui8AAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8181'>15205</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>13184</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8383'>19463</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>12266</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8686'>13636</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>12610</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8888'>17425</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>17475</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8888'>20988</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>15453</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8989'>18167</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>14112</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>20500</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>14348</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[21][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 239,\n   \"id\": \"6c9d5620-535b-450b-a8f7-4644e1740e47\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>geon</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.490</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>total</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.550</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>eyed</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.244</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&nbsp;TOTAL</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.010</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 13184, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 241,\n   \"id\": \"3629e7b4-1461-4e07-af83-707730261b65\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>ington</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.003</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;comparable</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.743</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>bug</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.725</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>parable</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.493</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 12266, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 242,\n   \"id\": \"8bb1abb4-3852-4229-af31-5fcd9bf1531e\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>Catal</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.873</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;averaging</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.028</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>kid</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.762</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>&nbsp;averaged</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.613</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 12610, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1ad5a30e-321e-4a01-abc8-5f164aa80b23\",\n   \"metadata\": {},\n   \"source\": [\n    \"Token 57 has something to do with statistical quantities (\\\" amount\\\", \\\" massive\\\", \\\"total\\\", \\\" comparable\\\", \\\" averaging\\\").\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e4be8e47-be8b-4c2f-a3ad-9774c2a484c0\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Final token\\n\",\n    \"\\n\",\n    \"Let's now see if we can find anything about the current token that the feature fires on.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 243,\n   \"id\": \"b22d163d-d5b0-49ca-9a1d-3e40900e5857\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- mlp7tc[4327]@-1: 1.6\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 0.91\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- mlp7tc[14119]@-1: 0.87\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- mlp7tc[11293]@-1: 0.6\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- mlp3tc[1866]@-1: 0.58\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- mlp7tc[8696]@-1: 0.55\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- mlp5tc[13393]@-1: 0.55\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- mlp7tc[21491]@-1: 0.44\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- mlp7tc[3373]@-1: 0.43\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- mlp6tc[7080]@-1: 0.41\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- mlp3tc[2745]@-1: 0.4\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- mlp7tc[14110]@-1: 0.39\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp3tc[18655]@-1: 0.24\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- mlp1tc[20441]@-1: 0.22\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- mlp3tc[18655]@-1: 1.6 <- mlp2tc[16571]@-1: 0.16\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- mlp7tc[14110]@-1: 0.39 <- mlp3tc[18655]@-1: 0.15\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 0.91 <- mlp5tc[13393]@-1: 0.15\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- mlp7tc[8696]@-1: 0.55 <- mlp3tc[18655]@-1: 0.12\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 0.91 <- mlp6tc[14182]@-1: 0.099\\n\",\n      \"Path [22]: mlp8tc[479]@-1 <- mlp7tc[4327]@-1: 1.6 <- mlp6tc[7080]@-1: 0.086\\n\",\n      \"Path [23]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11 <- mlp3tc[18655]@-1: 0.038\\n\",\n      \"Path [24]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11 <- mlp3tc[18655]@-1: 0.038 <- mlp1tc[20441]@-1: 0.0051\\n\",\n      \"Path [25]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11 <- mlp3tc[18655]@-1: 0.038 <- mlp2tc[16571]@-1: 0.0037\\n\",\n      \"Path [26]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11 <- mlp3tc[18655]@-1: 0.038 <- mlp2tc[17312]@-1: 0.002\\n\",\n      \"Path [27]: mlp8tc[479]@-1 <- mlp7tc[2901]@-1: 1.2 <- mlp5tc[17786]@-1: 0.11 <- mlp3tc[18655]@-1: 0.038 <- mlp2tc[17312]@-1: 0.002 <- mlp1tc[20441]@-1: 0.00066\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15, filter=FeatureFilter(token=-1))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 244,\n   \"id\": \"af821679-f9db-4df8-a529-b4d4a1e11e20\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffafaf'>4645</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.026</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>11334</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.058</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>10172</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.022</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>5270</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.053</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb6b6'>15493</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.022</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>1808</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.053</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>21714</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.021</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>18458</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.052</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>13932</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.021</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>6787</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.052</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>16107</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.021</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>5350</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.049</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>18168</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.020</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>21415</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.049</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[0][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 245,\n   \"id\": \"ee146247-e7ad-4045-ab49-897a940248a4\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa1a1'>orsi</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.613</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;be</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.233</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>ensical</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.297</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9898ff'>&nbsp;Be</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.309</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 11334, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 246,\n   \"id\": \"aa9482e9-817f-4b99-8922-0ac0eecefc3f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9595'>NRS</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.882</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;be</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.096</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9696'>¶</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.796</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8e8eff'>&nbsp;Be</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.254</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 5270, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"90e292b5-5034-4d56-ae10-6a8ba3a98ca4\",\n   \"metadata\": {},\n   \"source\": [\n    \"We now probably have a good sense of what the last token is -- dontcha think?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"41d6ff15-8659-4028-9ef3-d1bac2845158\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Current hypothesis\\n\",\n    \"\\n\",\n    \"**Current hypothesis:** feature fires on phrases like \\\"amount/total/average ... is estimated to be\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"72ba8ec8-c9fb-41ed-bc9a-a09c6c27dae6\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 668, 122\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 247,\n   \"id\": \"c9229891-330d-4b2a-a1f6-7a16693fd9b5\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[668, :122+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 248,\n   \"id\": \"ceca7c4d-0744-4daa-8cbf-9aaf428c3338\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn8[5]@121: 7.2\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn8[7]@121: 3.3\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn6[11]@121: 3.2\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn7[0]@121: 2.4\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 2.3\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn8[5]@122: 2.2\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- mlp7tc[671]@-1: 2.2\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn4[9]@121: 2.0\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn3[11]@121: 1.7\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- mlp7tc[4539]@-1: 1.6\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- mlp6tc[2484]@-1: 1.5\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn6[11]@120: 1.1\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn8[5]@120: 1.1\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn8[7]@120: 1.0\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- attn8[5]@121: 7.2 <- mlp4tc[18899]@121: 0.68\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn8[7]@121: 3.3 <- mlp7tc[15710]@121: 0.59\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn8[5]@121: 7.2 <- mlp7tc[14110]@121: 0.54\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- attn3[11]@121: 1.7 <- mlp2tc[11150]@121: 0.5\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn8[5]@121: 7.2 <- mlp6tc[20620]@121: 0.44\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bb77c9e7-14fa-45b3-a58e-f07dff334c77\",\n   \"metadata\": {},\n   \"source\": [\n    \"Again, most of the contributions are coming from the previous tokens.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b1f8377a-a549-4adf-9c48-fbf5a1c38658\",\n   \"metadata\": {},\n   \"source\": [\n    \"### `attn8[5]@121 <- MLP0`\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 254,\n   \"id\": \"98c4b084-50e1-4ed1-8530-1edfa471c680\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7f7f'>4798</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.058</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>12151</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.058</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8080'>5008</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.057</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>8192</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.055</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8181'>5166</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.055</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>13184</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.054</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8282'>15122</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.055</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>1300</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.053</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8383'>9743</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.054</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>4652</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.051</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8383'>13774</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.054</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>17066</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.051</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8484'>2272</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.053</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>9404</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.050</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[0][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 255,\n   \"id\": \"2a7a4b10-0c5d-470d-a2ab-fcf534f55520\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec1c1'>vol</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.990</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;airport</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.386</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc2c2'>&nbsp;Vengeance</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.908</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>&nbsp;Airport</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.202</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 12151, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 258,\n   \"id\": \"c7ee2c25-729c-44cc-b370-19895a358637\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd0d0'>&nbsp;adaptations</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.468</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>pired</span></td>\\n\",\n       \"    <td style='text-align:right'>+11.137</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd1d1'>DP</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.371</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>pires</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.887</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd1d1'>&nbsp;questions</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.347</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9292ff'>pire</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.112</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd2d2'>&nbsp;independence</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.259</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>piring</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.662</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd2d2'>asu</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.221</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b6b6ff'>uding</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.266</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 8192, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 257,\n   \"id\": \"0809fbcd-8c47-40d4-a999-df8f790f8a12\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>geon</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.490</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>total</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.550</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>eyed</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.244</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&nbsp;TOTAL</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.010</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 13184, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 259,\n   \"id\": \"f4e51bde-1b8a-4f0f-9aa5-f10aae3011ec\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>ols</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.797</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;resulted</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.195</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>esian</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.778</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>&nbsp;culminated</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.027</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 1300, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"8f4a3cbf-6d08-42b3-b7c4-b4734af59d4d\",\n   \"metadata\": {},\n   \"source\": [\n    \"First two transcoder features seem rather uninterpretable. But we see the `total` feature again, and feature `1300` has similar semantics.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"193b5207-82cc-4f7d-8b23-189f1b83125e\",\n   \"metadata\": {},\n   \"source\": [\n    \"### `attn8[7]@121 <- MLP0`\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 260,\n   \"id\": \"463350e5-45bd-4c88-831e-73901b8f8e5b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8383'>14555</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.028</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16933</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8484'>3296</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.028</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8181ff'>14006</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.029</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8989'>17583</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.025</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>19887</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.028</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8989'>21601</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.025</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>6821</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.027</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8a8a'>201</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.025</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>19223</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.026</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>11049</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.024</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>2129</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.025</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8c8c'>2850</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.024</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>10026</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.025</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[1][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 261,\n   \"id\": \"5d8e0c06-d36d-4712-8a1e-68365b010ecf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>videos</span></td>\\n\",\n       \"    <td style='text-align:right'>-4.659</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;population</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.145</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>essen</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.852</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>population</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.791</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 16933, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 262,\n   \"id\": \"844a2082-4ae0-4e96-b9c9-a9368c7f9949\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8585'>eworthy</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.739</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>kinson</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.117</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8888'>etime</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.536</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>rahim</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.664</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>lde</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.368</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>LU</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.639</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8e8e'>lect</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.171</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&nbsp;ObamaCare</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.599</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9191'>eenth</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.980</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>&nbsp;GEAR</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.592</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 14006, k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 263,\n   \"id\": \"62520541-4d0b-46f1-ba86-4a6c48490b87\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbfbf'>&nbsp;Princess</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.181</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;blacks</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.616</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>Steam</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.042</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>&nbsp;Blacks</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.024</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 19887, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 264,\n   \"id\": \"780eb339-052d-4bd5-9f09-d9d9b5585055\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc2c2'>nian</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.240</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;crowds</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.509</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fec7c7'>opsis</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.735</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a6a6ff'>&nbsp;Crowd</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.285</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 6821, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"2df7b782-6bef-4781-af7b-0225c96d7b74\",\n   \"metadata\": {},\n   \"source\": [\n    \"... Huh. Now we're seeing ` population` and ` crowds`.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b1cb1cac-a4c6-47a3-8811-4e324f7ebe64\",\n   \"metadata\": {},\n   \"source\": [\n    \"### `mlp4tc[18899]@121 <- MLP0`\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 265,\n   \"id\": \"68b3d156-4d5c-4f39-a1bd-a8ad771fb0ed\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb1b1'>23856</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>22324</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.012</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb1b1'>6927</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9d9dff'>1898</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>20120</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>14348</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>14659</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>14150</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>11031</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a4a4ff'>2523</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>1524</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>23485</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb3b3'>21051</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #aaaaff'>8762</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[14][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 266,\n   \"id\": \"9e9e4097-96ad-4edc-9f4b-4ec913a665e7\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>matter</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.469</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.297</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>lear</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.198</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;Estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.829</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 22324, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bcf3b238-7474-49e0-9dd9-e6254629a734\",\n   \"metadata\": {},\n   \"source\": [\n    \"Finally, something more sensible! Once again, previous token is probably ` estimated`.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a5734b31-4554-4c19-8ce8-ba46ec2e4bbc\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Final token\\n\",\n    \"\\n\",\n    \"Let's look at `mlp7tc[13166]@-1`, which contributes from the current token.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 249,\n   \"id\": \"dca16572-bbc0-464d-91ba-86831c458258\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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mZmRQXF0clJSW0fft2IiLq6OigW2+9lXJycmjUqFE0a9YsbatQXl4eXXbZZVp+NTU1dO2119LAgQOpuLiYxo4dS0888QRJksTQBYB++9vf0t13300TJ06krKwsKisroy1btljK8O9//5vGjh1LhYWFNHbsWLrggguYcF1tky1btlBZWRllZ2fTuHHj6Be/+AXdfffdBIBKSkroX//6lxb2888/p1NPPZUGDRpE48aNo1mzZtGyZcu074888ghTv3/6059o//79VFJSQnFxcZSZmUlTp07Vwq9cuZJGjRpFp5xyCo0dO5a+/fZb27YjIqqtraXrrruO8vLyqLi4mCZPnqxtkzPi2WefpVGjRtGwYcMoLy+PrrvuOqqtrT0iOidNmsT0g71799LTTz/NxFe3ThEpq67POussGjBgAI0bN45OO+00WrBggYXGL774gk477TQqKCig4uJiuvTSS6myspIJs2DBAioqKqLi4mKaOnUq7dmzh5577jkaOXKk1t/U/kpEtGfPHrrkkksoLy+PBg8eTGPHjmW2FzY0NFBJSQmlpKRQSkoKlZSUUHt7O/3mN79h+sxrr71G9fX1dNddd1FxcTGVlpZScXExTZs2jT755BOGxrlz51L//v2ppqYmats56DoEIoNP0oGDE4CCggLMmDHje3GxRndCEAQ88MAD2sExDhw4cOC4xx04cODAgYOTBI7QduDAgQMHDk4SOELbwQmDepay8azpYDB4osk64VDPHgeUhUazZ88+sQQ5cOCgx8CZ03bgwIEDBw5OEjiWtgMHDhw4cHCSwBHaDhw4cODAwUkCR2gfYzz55JO299z2NFRUVEAQBAwaNAilpaV4+OGHLWEOHjyIs846i7nc42jh9/txxx13QBRF5uSnY42bbroJpaWl6Nu3b7eWJxasXLkSQ4YMYQ6kOJlRU1ODH//4xxg5ciRGjBiB6dOnOydinUSYO3eu5b764wGPx4Prr78eI0aMwKhRozBx4kTs3LnzuOV/MsIR2scYd911Fz799NOjSmPGjBkYMmSIdum9+m/YsGEQBAEbNmzQwr766qtHrRw8/PDD2LRpE/7f//t/zPs333wT06ZN63RQv/3227j44otRXFys0Xn55Zdzjxxdv349xo8fj6+++gqdLa+QZRkvvvgipk6divHjx6OoqAjjxo3D008/bQlbV1eHm2++GWPHjkVJSQkGDRqEc845h6mrF154AZs2bcJNN90UNd+6ujo8/vjjmD17NkaPHo3x48fjjDPOwOOPP65dFhIrgsEg7rnnHlx77bWWoyWPFDU1NXjkkUcwZcoUjBs3DiNHjkRZWVnMR7c2Njbid7/7HU499VSMGzcOo0ePxqhRo/Dwww9rJ6J1hl/84heora3F1q1bsW3bNni9Xni93qMp1jHHgw8+eFyVxJ6M119/naukH2s88MADWLp0KdavX4/vvvsOffv2Papb33ioqKjAgw8++P05ne2EHu3yAwHvntuuoKyszHLPMxHRH//4Rxo5cqQlbFfukTYiGp0tLS00ffp02rdvn3aPsB3y8/Np7ty52v3BLS0tdMYZZ1Bubi41NjYyYS+44AJavHixdtczr5wqrr32Wpo5c6Z2N3AoFKIbbrjBcud0VVUVDRo0iP70pz9pp4wdOHCABgwYQG+88YYlXfVOZh7+9Kc/Ue/evemBBx6gHTt2aHd+t7a20r///W+aOnUq/fWvf7Wl2Yz58+fTz372M/J6vZSfn3/EbWXEjTfeSHl5edodzrIs0yOPPEIA6Nlnn+00/tKlS8nlctFHH32kvVu9ejUlJSXRT3/605ho6NWrF/3mN7/Rnv1+P3M/ek8EbO6l/qHC7r76Y4nS0lK6/PLLtedAIEDhcLhb81DvSI/GW04mOJb2SYD77rsPI0eOtLx/6aWX8POf//y40JCWloavvvoKRUVFnYadMmUKHn74Ye3+4IyMDNx6662oq6vDihUrmLAffPBBTDcDLViwAP/617/wxhtvaDcTud1uPPbYY3jggQeYsLfeeitGjx6tudwB5Y7nDz/8EKeffnpM5QWUm7NefPFFrFy5Eg8++CBGjBihudHT09NxxRVXYNmyZdi0aRP+8pe/xJTmj370I7z00kuWKxCPFnfccQeGDh0KQDlJ7d5778XAgQPxxBNPdBq3V69e+NnPfobzzz9fezd58mSceeaZMV840tLSwtwXnZCQcNynHBycfGhubmb6TXx8vHabnwMbnGitoadj586d2rm8ZWVl9NZbb9Hpp59O/fr1o3PPPZfq6upoz549dOGFF2rn+prPSjZbsF9++aV2nvHcuXPpgQceoIkTJ1KfPn1o/Pjx3DO3zfjyyy8pOTmZWlpaiIjI4/FYzg8uKSlhzj/es2cPXXrppdoZzcXFxfTrX/+aysvLuXTaoTNLm4dXX32VANDKlSu53zuztOfMmUNTpkzpNJ9Dhw6RKIr0wgsvxEwbz9L+4IMPKD09nXbu3Gkbr6amhgKBAMmyTOeddx7t2LEj5jyJqNss7VAoZDm3nEg5Hzs1NfWI050xYwYNGzYsaph//etfzPnlJSUlNGvWLKaPz5s3j5577jk69dRTKScnhwBQc3MzEbF9csiQITRu3Dh6++23tfS7Y/yZodJmpLmkpIS++OILeuKJJ7QzvP/2t7/RbbfdRpMmTaLExEQqKSkhIsVyu/DCC6m0tJRKSkpo7Nix9PzzzzNtcPvtt2vnkH/wwQd0zTXX0JgxYyg/P59+97vfMfSEw2H67W9/S6NHj6bS0lIaM2YMzZs3jzZu3MiEU88lLyws1M5Y/8Mf/kBer1cLU1tbS9dffz0NGjSIhg0bRqNGjeJ6WyoqKuj888+nzMxMGjduHN144430/PPPcy3tNWvW0OzZs6mgoIAKCgpozpw5DG2x1JldG6hnuqttEAgEiIiourqa5s6dS4MGDaKhQ4fS2LFj6b333mPSKC8vp5/+9Kfa+f3FxcV0++23U2trK0Ob8Tx4NZ/m5mbt/Pj8/Hwt/J/+9CctvMqLzH3w3XffpenTp9PAgQMJgFYXsdBcU1Oj9YXS0lIqLS2lO++8U/MexgJHaMeIsrIy6tOnDz311FNEpLhHi4qK6LzzzqP/+7//o1AoRLIs08UXX0yDBw9mXDx2wjA/P5+Sk5Pp6aefJiIiSZLo+uuvp8TERM3VaYfLL7+c67q0c49XVFRQdnY2zZ07l0KhEBERbd26lXr16kV//vOfo9JpRleF9po1a6iwsDCqqzWa0JZlmVJTU+nKK6+kl19+maZOnUrDhw+nKVOm0PPPP8+4Yd99910CQG+++SbdfPPNVFxcTIMHD6aLLrqI1q5dy83bLLRlWaahQ4cy7t61a9fSOeecQ6NGjaKzzjqLvvnmG4beVatW0W233RZznRB1LrR9Pp+mlHUVoVCIsrKy6IILLuhyXL/fT8888wylpaXRZ599FlMc2Lia8/PzqV+/fvTcc88REVFzczNlZGRQc3Oz1ievuuoqrU8uWLCAXC6XFl7F0Yy/rtKsjoMhQ4ZoCsDSpUs1AXTjjTfSnXfeqQnpqqoqGjx4MD3zzDNMOqpbdurUqXTw4EGtfABoyZIlWrhHH32URo0aRR6PRyvbaaedxtC2YMECEkWRXnrpJe3dG2+8wQiN5uZmGjJkCM2aNYt8Ph8RKf0yLS1Nu8yHSOkbw4cPp/Hjx2vK06pVq6igoMAitNeuXUuJiYlM/F//+teUlpZGe/bsibnO7KBeFmRES0sLDR48mMrKyrRyLFiwgARBYC46URU4NYzP56OLLrqIfvzjHzPpRXOPz5s3jxHa0cKrffDuu+8mIsWVP3ToUNq4cWPMNJ955pl07bXXan1n165dlJOT0yXXvSO0Y0RZWRllZWVRMBjU3t1yyy0EgNatW6e9U4UGr0PzhPaQIUMYoVNfX0/x8fF0zTXX2NJy+PBhio+Pp/Xr13Pp5AmCefPmUXx8PNXX1zPv77rrLk0T726h/be//Y369OlDbreb7rzzTmpvb7cNG01oNzQ0EABKTU2lOXPmUENDA0mSRO+99x653W669dZbtbB//OMftbAvvPAChcNh8nq9dOWVV1JCQgLX0jcL7TVr1hAAzcresWMHJSQk0COPPELhcJg8Hg9dddVVDL2yLHfZau5MaA8dOpSysrIYSypWvPHGG5SYmEhbt27tUryzzjqLEhISKC8vj3sLlR2iCW2ztb53716SJInmzZtHcXFxFivj/PPPp7S0NE2IER3d+Osqzeo4+N///V/tnSRJtHfvXiIiqqyspLa2NibOb37zGxo1ahTzTmX+Tz75pPZOlmVKSUmhe++9V3v3ox/9iGbPns3EXbZsmaYwybJMBQUFNHbsWAutkydPps2bNxOR3o83bdrEhLn11ltJFEXat28fERH94x//IACWm+9uuOEGi9BW611dn0JE1NbWRqmpqXT99dfHXGd24AlttRxr1qxh3s+cOZOKioq056amJuaWNiKizz77jAAwfao7hXZ6ejpTF5WVldTR0REzzSkpKfTII48wYf75z3/G1F9VOHPaXUBRURHi4uK056ysLADAiBEjtHfZ2dkAlBW9sWDMmDHM3F9OTg4KCwujXmz/yiuvoLS0VLuLNxYsWrQIhYWFyMnJYd4/8cQTuOWWW2JOpyu46aabUFdXhx07dmDNmjUYN25cl1dbA0BHRwcAwOfz4cUXX0R2djZEUcQll1yCyy67DM8//zwqKyuZsBMmTMCNN94Il8uF1NRU/PWvf4XL5cJvf/vbTvNbv3494uLitDni5557DtnZ2bjnnnvgcrmQlpaGxx9/nIkjCAJkWe5y2aKhf//+6NOnD9PnYsH+/fvxq1/9Ci+//DJGjx7dpbiLFi1CW1sbnn32WVxzzTW47bbbuhSfBzMNgwcPhiiKWLRoEYqKirQ1CiqmTp0Kr9eLVatWMe+PxfiLlW5RFDF48GAAynqGRx99FJMnT8aYMWNQWlqKV199FXv37uWmY6RPEARkZWUxK6RnzZqFxYsXY86cOXjnnXfg8Xgwffp0nH322QCA3bt3o6Kigns/+erVq1FcXAxAabvExESUlJQwYaZOnQpZlrF48WIAwDfffAMAmDhxIhNuzJgxzHN7eztWrFiBCRMmMPPOycnJGDx4ML788suY66wrUMsxfvx4C33l5eXaWE9PT8eCBQtQVlaG0aNHo7S0VONldm1xtBgyZAhTF4MGDUJiYmLMNM+aNQsPPfQQfvrTn+LLL79EKBTCddddhyFDhsRMgyO0u4CUlBTmWRW2xvfqwidJkmJKMz093fIuKysLhw4d4oYnIrz88stdXoDW0NCgMbnjjSFDhuDf//43du7ciXvvvbfL8dPS0gAo9ZKfn898mzBhAmRZxtq1a5mwZoUmIyMDQ4YMwbfffttpfk1NTejdu7fWlvv378egQYO0ZwAYOHAgE8fr9SIpKQkAsG7dOmZr3rnnntuV4mr46quvsGPHDiQkJMQc59ChQ5gzZw4eeeQRXH311UeUr8vlwoUXXoj/+7//w7PPPnvU26LUNjHDrk+qgre+vp55fyzGXzTw6CYiXHDBBXj33Xfx73//G1u3btW2Ddqdm29edCiKIkPfHXfcgXfffRd+vx9XXHEFevfujauvvloT7OrWwM7Gb0NDAzIzMy3vzfWpKs7msBkZGcxzc3MzJEnC2rVrLdtNm5qauEqqXVt3BQ0NDZAkCePGjWPyXLhwIXJzc7X6eOCBB3Drrbfi/vvvx7Zt27Bp0yb8/e9/B4CYtyp2FdH6ciw0v/vuu3j00UexYsUKzJo1C/369cP999/fpTsX3N1SEgdHjNbWVsu7xsZGDBgwgBt+yZIlaGxsxOWXX96lfHJyctDU1HRENHYFkiQhGAxqAkzFgAEDkJOTownXriAjIwP9+/dHe3u75ZvbrXRhiuzxHjVqFABwGYrb7e50LzigMDOPx6M9FxQUYOPGjZBlWRMKVVVVTJwXX3xRa5MJEyZg06ZNMZSse1FZWYkzzzwT9913H+bNmxdzvEAgAJfLpdWlCvXSkrVr1x6TQ2Ds+qR6KIvZAu8J2Lt3L5YvX44nn3zyiKxIO1x66aW49NJLUVVVhX/+8594/PHHUVlZieXLl2vesc7Gb05ODg4ePGh5b67P/v37a+nl5uZq4VpaWph4mZmZEEURZWVl+PDDD4+4bF1FTk4OGhoaOh1Dr7zyCs4888yjulDH5XJZeILP5+tyOrHSnJCQgLvuugt33XUXNmzYgKeffhqPPPIIAOB3v/tdTHk5lvYJxrZt25hO09DQgP3792PatGnc8C+++CKuvfZai1BUERcXp6XX1tamHbAxZ84c7N+/33Kgx8MPP4ynnnqqO4oCAFi+fLnG7I3wer1obm62uOdjxUUXXYSWlhYcOHCAeb9582YIgqC5+k4//XRkZWVh8+bNTLj29nbs2bMHkydP7jSvsWPHwufzaS62W265BY2Njfj9738PSZLg8/lwzz33AABCoRBeeuklbNiwAddee+0Rlc0O7e3tXKWOh71792LmzJn43e9+xwjsCy64wOIqNj/feOONePLJJy1pqi69I22zzjBnzhyUl5db+uTq1auRlpaGqVOnHpN8VRiVuMrKyqhTUipUC87odQGOzh1/zz33YP/+/QCUrYkPPPAAfvazn2l9eNiwYSgoKMCaNWsscS+88ELNEzJnzhz4/X5L31+9ejVEUdSE26mnngoAFgV669atzHNycjKmT5+OzZs3W5Tg+fPn46GHHjrCEkfHnDlz0NLSYjkMZe/evbjiiisQDocBKG0RSzuoUypqW69fvx67d+8GAOTm5lqUId4hUN1F809+8hPt27hx4/Daa69hzJgxljaLBkdon2B4PB48++yzABTr8O6774Yoirj//vstYevq6vDRRx9FPcGrsLAQhw4dAhFhxYoVuP322wEopz+lpaXh17/+tdaB1q1bh+effx5z5szp1jLt3r0bTz/9tDbQfT4f/vd//xdEhF/96ldHlOZ9992H3Nxc/OpXv9IY54oVK/Dmm2/illtuQUFBAQBFk33yySfx1Vdf4b333gOg12sgEMCjjz7aaV6TJk1Cfn4+3nnnHQDAyJEjsWzZMnzzzTcYPXo0LrroIvz85z9HUVERnn32WSQkJODNN9+0MJCjxdixYzFkyBC0tbVFDbdjxw6UlZVh8uTJICK8/fbb2r9Vq1YxrsLHHnsM/fv318qm4rnnnsO2bdu05y1btuDRRx9FYWEhLr744m4tl4oHH3wQ6enpTJ9cuHAhPvnkEzz22GPd4mqNhsLCQs0yfeGFFzTXajSMGDECQ4cOxd///nccPnwYgKJ4v/3220dMx6pVq/DUU09pdeDz+bB27VpNyAqCgKeffhqbN2/Gyy+/rMV78cUXsXPnTkyZMgUAcPvtt2Pw4MG46667tD6zZs0avPLKK/jVr36lnbFwzTXXYPjw4XjwwQc163r16tX4+OOPLbQ9+eSTqKmpwcMPP6wJvV27duH222/v0pqarkAtxy233KJZvS0tLbj55puRl5eneYTOP/98fPHFF1i3bh0AxZ3PM0AKCgogCILW1rfeeitWr14NAJg5cyZ8Ph8+++wzAMrUwZF4FWKl+Z133sFbb72lxdu3bx+qqqq65i2IecnaDxQNDQ2W/c8ej4cuu+wyys3NJQBUUlJCX375pWVP4EMPPcTsYczLy6Mrr7xSS1tdOfnUU0/R5MmTKTc3l8aNG2e7T/v3v/+95fQvM3bt2kUTJ06kESNG0OjRo5kVonv27KFLLrmEBg4cSCUlJXT66afTsmXLtO+drR6/8cYbqaSkhDIzM7Vyl5SU0KFDh7QwHo+H/vKXv9Dpp59OI0eOpFNOOYUGDhxIZ599Ni1evNiS5ssvv0wlJSWUl5fH7KXkrVzet2+fRv+wYcNo9OjR9Mwzz3BP3nrnnXdo3LhxNHjwYMrPz6dzzjnHsrJTBW+f9htvvEGZmZlUWVnJjXM0GD9+vLZHVe1T55xzjiVcWVkZjRgxgvx+f9T0LrroIgJg+8+4Gvjll1+mtLQ0+vzzz7V3W7ZsoV/+8pc0ZswYGjNmDA0dOpQGDx5Mv/jFL6impiZq3rx92m+//TZt2bLFsg/3k08+scRX+2ReXp62z9q4ReZox180LFiwgIqKiqi4uJimTp1Ke/bsoX/+85/MeC0pKaG6ujom3s6dO2nOnDmUm5tLp556Kv3kJz+huXPnarT897//pUceeYSh5U9/+hPt37+fqZOpU6dqdJx77rk0atQoKikpoVGjRtEtt9xi2e6n7tMuKCig4uJiuvTSSy39s7a2lq677jrKy8ujYcOG0ciRI7n7tCsrK7V92qWlpXTllVfSU089RQBo5MiR9MQTT2hh165dS2eddRYNGDCAxo0bR6eddhozPmOpMzN4+7T/9Kc/ad9ramro2muvpYEDB2r7sJ944glmL3xrayv97Gc/o/79+9O4ceNozpw59OCDD2p1blyl/cADD9CgQYNo9OjRdMkllzBj6uGHH6ZBgwZRcXExXXXVVfT+++9radx5553cPvjyyy9byhQLzU8++SRNmTKFxowZQyUlJVRcXKxtY4wVzn3aJxAFBQWYMWNGj7lIpKKiAoWFhXjllVe63dXbk/Hggw/ioYcessxt3XTTTVi2bBkWLVqEvLw8btzq6mr07du3261sBw4cOODB4TQONLhcLuTm5uKxxx6zveXr+wT1lq9//etfzIIcFX/7299wxRVXYMKECXjkkUeYbSQNDQ149tlnceGFF3b7BQcOHDhwYAfH0j6B6GmWtgM+Dhw4gH/+859YsmQJGhoakJqaipycHJx33nm47rrrkJycfKJJdODAwQ8EjtA+AVi6dCnuuOMOfPfdd0hNTcWgQYOwZs0axMfHn2jSHDhw4MBBD4YjtB04cODAgYOTBM6ctgMHDhw4cHCSwBHaDhw4cODAwUkC5xjTboAsy6iurkZaWhpz+YcDBw4cOPjhgIjg9XrRv3//Y7YN1BHa3YDq6mrbfbwOHDhw4OCHhaqqKsulQt0FR2h3A9TjFquqqri3djlw4MCBg+8/PB4P8vLyjukRvI7Q7gaoLvH09HRHaDtw4MDBDxzHcprUWYjmwIEDBw4cnCRwhLYDBw4cOHBwksBxjztw4MBBDwIRUFUFbN8O+P1AVhZQWgpkZJxoyhz0BDhC24EDB98L+HyEdeuALVuAjg5F2E2YABQXAy7XybEVMxAA3n0X2LcPUHcMEQFffQXMng2ceuoJJc9BD4AjtB04cHDSo6GB8M9/KsJaPZi5uhpYsEAR4ldeSYiL6/mC+8MPgfJy5bcss9+++AJIS1OUEAc/XDhz2g4cODipQUR4+21WYCvvlb8VFYql2tNRXw/s3MmWwYxly6J/d/D9hyO0HThwcFKjogJoaGCFmWx4IALWrQNCoZ4t7XbtAow7hVplH/ZJhxCisPauoQFoajoBxDnoMXCEtgMHDk5qVFXp878AUCM1YnN4D9qoQ3sXCCgCrycjFGKFdrlUDY/chkNyvSWcgx8uHKHtwIGDkxqCwFrZtXIjAOCQVG8J15PRp491HhsAY2m73UBm5nEkykGPgyO0HThwcFKjqKjzed6UFKB37+NDz5Fi+HAgOdleuRAEoKQESEg4vnQ56FlwhLYDBw5OagwYIGDgQNZFbsaUKT1/25fbDVxyiVIOs+AWBGUL26xZJ4Y2Bz0HjtB24MDBSY/LLtPdxqrAEyLcrbj45NnfXFQE/PSnwIgRejni4oBp05T3ycknlj4HJx7OPm0HDhyc9EhPF3DTTYRt24CKJcpirX4ZwNyzgcLCY3uBQ3ejXz/g8suBg72UOe78HODMiSeaKgc9BY7QduDAwfcCcXECxo4FShoUAd03Q0BR0ckjrM0QRb6r3MEPG4573IEDBw4cODhJcNIJ7Q8//BATJkzA9OnTUVZWhu3bt0cNv2LFCkyZMgVlZWWYMmUKli9fbglTWVmJyy+/HDNnzkRxcTHGjx+PpUuXHqsiOHDgwIEDB0eEk8o9vmbNGsydOxfr1q3D8OHD8frrr2POnDnYsWMH0tLSLOErKyvxox/9CAsWLMCMGTPw9ddf47zzzsOWLVuQn58PAGhoaMAZZ5yBl19+GbNmzQIR4Sc/+Qm2b9+OM84443gX0YEDBw5+EGhtkVFbTRBFYOAgEUnJzjxALDipLO0//OEPOPfcczF8+HAAwNVXX41wOIzXXnuNG/6ZZ57BiBEjMGPGDABAWVkZhg8fjmeffVYL88QTT2DSpEmYFdlLIQgCnnzySZx33nnHtjAOHDg4ppAkwp6dYWzZGMaB/RJI7tnHmP5Q0OYjvP/vAP72lwA+fDeID94O4rmn/Pj8kyDCPfyo2Z6Ak0poL1myBBMn6ssoRVHE+PHjsXjxYm74xYsXM+EBYOLEiUz4Dz74AGVlZUyYQYMGoaCgoPsId+DAwXEEofqghKWfh/Cft4P4bEEQb70WwIvP+FGxTzrRxJ2UCIcJtdUyag5JCAWPXLD6/YR//TOAfXvYo98kCdi4TsKH7wYd5aoTnDTu8cbGRrS2tqJv377M+759+2Lt2rXcOOXl5bj00kst4csjd9+1tbWhvLwcsizjqquuQkVFBZKTk3HjjTfikksuOTYFceDAwTHFoQMyKsplpAhgOJynlfDumwFcMTcBeQWuE0bfyQRJIqxcFsL6b8MI+JV38fHA2IlunHZGHNzurrm0N64No6WZuCfYEQH79sio2C+jcLDTPnY4aYR2e3s7ACDBdIZfQkKC9o0XJ1r4lpYWAMBvf/tbLFmyBOPGjcOaNWtQVlYGSZJw+eWXc9MNBAIIBALas8fjOaIyOXDgoHsR8BMqKzgHeEMRCgKArxaHcM1PHaHQGUgmfPR+ALt3sPUZDAJrVoZRWyPjsqsSIHbhpLnNGyRGYDfJPsQJLqQJSQCU7W1bNoYdoR0FJ417PDlyFJBRWKrPyTbHBCUnJ0cNL0bOPTzvvPMwbtw4AMCkSZNw0UUX4c9//rMtLY899hgyMjK0f3l5eUdWKAcOHHQrdu2QQAYZ46cQauQWSJGXRED1QRnNTXzB7kBH+V7ZIrBVEAGV5TJ2bOvadIPPp0vsDgpin3QYO8M1TLpej+Mej4aTRmhnZ2cjIyMDtbW1zPva2loUFRVx4xQVFUUN37t3byQkJGDgwIFMmPz8fOzfv9+WlnvuuQetra3av6qqqiMpkgMHP3i0tsjYvC6IDd8GUV0lQZJk7NkRwn/+3Y7X/taGD95sx67tIUhSbIy83RcxpyPYJh3CQakZVTJ7CXWbzxEMnWHT+hBzsEs7BeAj3QgSBGDT+jAnpj1SUvQEA2SNKwhAapqzijwaThr3OADMnDkT69at056JCBs2bMB9993HDT9r1iysXLmSebdu3TrMnj0bAOB2uzF16lTU1NQwYerq6jBo0CBbOhISEixudwcOHMSOYICw6CM/dm1nGXdcnH6vNBHQcBjYv0dC/zwRl1ydjPiE6Aw9NV0ADPKYIr5YL/mZcGnpjmDoDM2N+twzEWF7uBoAMNY9CG7BBSJ02WNRMs6F5UvDtreyEQFjSk8qsXTccdJY2gBw991349NPP8Xu3bsBAG+++SZcLhfmzZsHALjuuutwzTXXaOF/+ctfYseOHVi2bBkAYPny5dixYwduvfVWLcxvfvMbzJ8/X7OsKysr8eGHH+K22247XsXqMkgm1B6SULE3jKYGZzWsGW0+GQ2HJXS0Oy7QYw2SCRX7wli+2I9lX/hRvjsEuZPVvyQTPnyrA7u/s1paoVAkDLF/aw7K+GKh3xLejGEjXBCjTIcKApCXLyKj10nF+k4IjPumyaAJhaGPq6Skrik/4ya6kZ4haJe5GCEIQEGRiKLBTttEw0ml0kyaNAmvvfYarrzySiQlJUEURSxatEg7WMXv9yOkjnoobu6FCxfirrvuQnx8PAKBAD755BPtYBUAOPvss/Hcc8/h4osvRnJyMsLhMJ566ilG+Pck7NwWwvLFfnha9EHUP8+FmecmIrffD3vxRs1BCSu+9ONAuaLICAJQNMyN6bMTkN37h103xwLNjTLmv9WOpgZZuxZz7TdAei8BF12RjJxcfp1XlkuoquiaskkE7NwWRtlZMlLT7Jl6fIKAwsEi9u22KmyCoJzlfcZZcV3K+4eKU4rdOHggaPtdEIDRJV0TIYlJAq6+PgGfzA+iea8hLREYU+LCmefGQRAdL0g0CESdXR/voDN4PB5kZGSgtbUV6enpxyyfrRuC+Pwjq7UhCIDLDVxxQwr69P1hCqeq/WG8/0Y7iMC43gRBcblecUOKrRDpDjTUSWhulJGQKGDAIBdcXdwKc7Ih4Ce8+rwPbT7r9h1BABISBVx3cwqSU60C9tMPO7Bja1hbMNYid6ADQfQV0rXbuDxyB/bJjSgUs9FLTNLinndJIkaMji50//zFbhyuldFY6UZThzIHmyjEYdbAPJz1o3gMyDs5xsifv1A8inlZybhk/MBOQnc/gkHCqy/40dJCkCQZ68OVAIAx7oFIcsUhNVXAdTclHvFJZhv3ePHet4cgCMC9Fw5HSurJP2aOhyw4qSztHzJCQcLS//Ldg0SAFAa+/tyPS+emHGfKTjxIJvx3QQdkAjOfCSh1EwoBiz/x4yfXd3/d1NdK+OLjDtQe0i3HxCQBU2ckoHRS/El1JWRXsH1zCD4vX98nUoT65vUhTC2zrv3oaCNmhfcuqQ4AkOKKR3pk68+OyLtdUh0miwV62jHOePTpK2LM0DjsrgojHAb6ZsbhurOTOo/oQEN8vIArrk3AgneDqKqSmQV+vfsIuOiyhKM6ejSjl4DeuYpS930Q2McLjtDuIQiHCLu2BbFtYxA+j4zUdBGjx8Zj+Jh4uN0C9uwIIWTwVAUpjFbyI1tIgSgIIAIOlEvwtMpIz/hhzQlVVUjMdIFEMnwUQJqQqNXNoQMSmhokZOV0n5XVeFjC2//0IRxi3/s7CEs/8yMYIEw+PbHb8utJ2LWVLXSN7IFEMga6egFQBPeOLXyhnd5LhChKkE0COIjOXeb9umAli6KgzV2npThC4UiQli7i6p8moqoqhMYvRICAS6fHY+TQxO+tQtrT4QjtHgB/h4wPXvfhcE1EmyXA2yqh+kAHNq0J4OK5qfB6CIKoWxrbpVoESUKHGMIgV6aWls/z/RHaUpiwd2cIDbUS3HFA0fA49O5r7bLmFaz75AY0yx3oK6Yj31A3LU1ytwrtFUv8CIdguxJ21VcBjBkfj+SU70d7GOEP6IUmIhyQmgEAfcRUxAtKGwUD/IoZMzYOm9eFuN/sIIhA4WAXemUeWV06s4BHh379Xdq0Qv+BLkdgn0A4QrsHYMnCDtTXRgSPadVsfa2MLz/pwMDCOMY1GCTFKmmhDgyCLpiSkr8fAuJAeQifvd+GjnblFiAiYNVSP/IHu3HOJSlITBLR3KB4FvymVeLNcgcA4DB5kW+om862C3UFHe0y9u0Oa+0lE6GB2pAuJCBRUOZciYCdW0MYN+X7tz0wp7eI5kYZJLMzElLkSRCArN78vth3gAtjxrmxdUPse3x7ZQqYc2HXvBaOmO4+OHXZc+AI7RMMn0fGnu9CjLVGRJomSwTs3h7CpOmJEF2AbOdBFIDcfiIys09+oV1fG8b8N32a+9ToRj1QHsYHr/ngdhNqDyqVoVSdC8ykmwkpqQL6D+w+K7u9jRhOVkseHJBaAABT4pTdCYIA+Lzfz21nxRPiuVu2VBABpRPibb+fdV4iMnoFsW5lEIgY3YIIDD/FhT59Xdi2QkAgQIiPF3DGGQkYMy6uW5WuaGjzydi+IYD6mjBcbgGFw+IweGR8l8/ZduDgWMAR2icY1VXsQQPNcjv2yk0YImYjM7JqlghoapAwZXoCVn4V4KYjADh99vdj/nTtCr9SJ9xLBQj1tWHmpCYBgKDtJOUz1mlndO2M5M6QbFqA4yFruxABKZzV0z0ZkkTwtijTNMrcM7/OBhW6MHpsHLZt5Lu5h450Y+hIe/YiiAKmnJ6ACdPi0Thf8SJdMD4J4wYrRwyv9OsCf/xUe+Hf3di5JYAv5rdpuxAEAdi1NYi0jA5cNDcNmdknx8rzgF9Gm5eQmCRwV/A7OHnhCO0ehl1SQ+RvPaaI7KlsU8riIYrA6mUBzToBFCvyrAsSMajo5G9OWSbs/S6kTQUQESrkFmQICcgSFYYuABaBLkKGDFF5LeiiW3QB02cloHh89zL+pBQRBUPcqNxnf7oTAAzvZHtST4EkEdav6MDmb/3oaFcKlJImYNy0JJROTrTsnRUEAWedn4jeuSLWfBMAIqeEpqQImDY1AROnxce039btFrQ1GIlJJ1a41FSFsOg/bcw7tW19Hhkfvu7F3FszerTF3dosYdWSduz5LqiNoYEFbkydmYx+g3pWX3Rc7keGk5/Ln+Ton+fWjmy0gyCo4QRMPj0BYyfH4/D7boRDQG5mHP73vNRutSJPJKQw6w6vpzbUyl7UwoupYh5jR0sko4k60EtIRJzgggsyCEDvXBHx8QKSkkTcdEnaUW1LiYbTZiWiqsJnO2Ux8bSEqAeBmOFplrB1nR8H9ytnPg8sjMPoCYlI73VsrTtZJnz2rhflu1iruc1LWL6oHY2HJcy6IMWy+EgQBYybkoDiCXFo+SweRMDcM1KQnXZyzuGv/8bPLPY0ggjwtsrY+10QI4qPTfmICP52giwDyUew2r2lScK7L7ciEGC31B2qDOP9Vz244Mo05A85fl6LngoiQu3BMHZvDcDfTkjrJWLU2ET0Okm8KI7QPsGoOxSCKMiQSHHymiEIwNBRcUhN15l/fIKAnD5KB8tOdX1vBDYAuOOApBQBHW2KFhNtG9ABuRW1sg9Jghul7n4AAFEAUlKAfnluuEXhmAlsAOjTz4VL56Vg0fwO4LD+Pi4OmDQ9AZOmx87c934XwKL3vczhMIerw9i4sgNnX5qGwSOtaRnXPhwN9n4XtAhsI77bGMDwMQnIK+JbaoIoICFRocPOnd7TQUTYv1v38MhE2CU3IF1IwABROSRDEID9u0PHRGjv2uLH+hUdaDys9PeUNBE1vULomxc7i1723zYE/NbDbtSppi/m+3D9HZnfK37RVYSChP++70HF7pBylGqkrtav6MD405IwdVZyj18Z7wjtE4gDe4P49B1v5EnV8gjavi8AvfuKmHXeD+dQCEEQUDwhAWuW+aN6HwCgiZRV4h2G24KIgLj44zfo+ue5ce0tqcCSBOypCcPlBm66ON1CQ0tjGJtWdWD3tgDCQUJGtgtjJibhlHGJ8LTIWPS+17JvWRXg/33Pi6tudqNXtgu+VgkbV3Vg5yY/An5CcqqAU8YloWRKEhKPcOfA1rV+xtvTTiEIEJAU2boliMC2dX5boX0yoFNXLLEenkZqR4vsRwv8mtBWDjHqfqfu6qVtWPt1B/OuzSujqikEb6uEvOn8q4eN8HlkVOzWFS8ighdBpCAOrshB3+0+QsXeEIqG/3Ct7S8/9qJyj1JPZo/K+hUdSEkTUTK5Z/NbR2ifQKxcosyfCQBckECapR1ZDy1IuOAnaVHn+r6P20/HTU3Evh1BNNZb/ZSqSmMHlxvaYqHjpTALgoDMbBd6k5KvWWBXV4bw0RstkGSdUTTXS1j2qQ/7vgsgs7c7ajsSAVvXdmD0hER88I8Wxppq9xHWLW/Hrq1+XHJD5hEtOmpukLT0wiRjU1i5znZanHJPPMk4KS+m6UrzC6KA7D4uzdKVOGJeEIDe/bqXZTbUhi0C24iWRhk1VWFgYvR0WpvZ9jlEXhyQWpEhJuIUV28ACv0tjSdfO3YXPC0Sdm+1P0sdANYtb8eYCYk92hvhLCs8QWhtklBfow8giWQckFoggrR/AhEqdkfvZCcb6qtDWPapF/99txXLPvXicLXVLZuQKODS69NRMjEBLsM0U1aOC+OnRV8hP7ksqUed+y2FCZ+90wpJ4s+VVleGsHtbgLkC8TupATukBu1AECKgcm8In7/vsXV/eltkfP2JF0eC+ES9vuymI4xhzOg5tX10KJ3cidtbAE4Z27lrPBQkfLehA/99txWfvNWCdV+3oc3Lr9dt6/3MjVchkhjPEQTg4P7OeUC8SVGskxWDoFXWjz4m6p6zCoSTtMXNvLRF7sB26TA6SOdB7T5ld0pPhmNpnyCYr43cL7egXm5n3gki4G//fpjSskT48iMPdm0OaIt9BBHYuqYDw8YkYOb/pMNl0G4TEgXMODcZ7sGpWLbTD1EErjlPuVCi30A3vlzYBnigzSS44xSBPf7URKxYfMKKaUH5zoC2GhtQhHIYhLgIpyYCgn79ewgyWiKMNiwS4iIMMhSS0dIgM+mEICNecGnplO8MwueRkJretQU1+YPj0NLoRzTxO3z0ybm4rCsYNTYBlXtD2LuDVSTVqYPZF6Qwa0t4aKwLY8HrzdqaDACo3B3E2q/bMPuidAwdk2gJb1Tm1oZrAAATIms0QLHt9c/JdSG9lwhPi31YQcQP2jUeDlOkLQkiZOyQ6gEA+6gRY9y9QRABCJB6tsx2hPaJQloGy1jbyGpxkgykH+GxjT0N337Zhl2blb3M2nauyN/dWwNITvXh1DlplnjuOEE75U1dIDJkVDwKh8ehaX49mr1hxMUBP7sk87gdvtEV1B0KQxT1+dJdchMa5Q4Uu/sgTVAYqLqgzM5FLohAeoYLba06Q66UPTgkezHYlYm+YkokHaCxrmtCOxiQse871RrjEUBISRMxouT7L7RFUcA5l6Zi+4YAPlneBjQAEIDCYXEYNy0RA/Kjz+kHAzIWvN5sUbTVtQlf/MeD9CwXcgfo6cQlCMYlLBraDfzAFYOrVhAFTJ2ZjEX/8dmGKZmYcFR7tkMBGaEgweeRkJF85OsbSCagkx0zxwI5uW5NYBsRghw560EGCSIyu/Go42OBbhXaTz31FH796193Z5LfW6SkicgfGocDe0O2nTc+QUDRiJOfWQb9MjZ/2x41zNa1HZhwegoSYtyr63IJyO7tRkLk9juewO4Jq0BdLpYfN0aOWD0kezHClR15SyCyp5VkIK8oDjUHdEZ+SFZc4RVyqya0AWVO34hQUEbFrgDafTJS0kQUDE+EO07Pa/fWADp8MkQAss1sWX6Ru0cqRMcCoihgzIREUN80xH/XDgHA+WdZlUke9mwNMBa2BQKwaVU75lySob0aMipBWxhlF6fvgNjY9PDiBPj9hBWL2oAwu6ZjzIQEnHbWkd1y11ATwvLPW7F5tzKG393cgML8JEw5Mw1982Kz3MMhwrY17di2th3eFgkuN5BcJKMjWUJSSvcKSU9zGI11YbhcAvrlxyEuXunXAwvccAsyIjoDA1VvSkoiJPXwuwKOSGh//fXX2LRpEzweD3MQ/6uvvuoI7S7gtLNS8N6BVoSC/IFedm7KcV0JfaxwqCLEuJx8FMR+qRUFrgzN2pTCSrgiw9amloYwKnf5UX84iNSMnq392mHQkHisX6EuNCIIERGuaPuKhh8nygjLBBkuGEW8uiXljPNSUDAsHmu/bo9qncQnCOg7ULeAtn7bhtWLfQiHSHPxxiV4MO2sNIwar6xILt+hWNlChKYaudVAozIPe2Dvybmu4mgNua4qfRV72FPxKiUPfAhilJiteFJkoHI3G2bY6ASs+bodPo9sXfMgAKKo9KFYUTIpEcPHxKPpP41o8iqeqmt/3AvpmUc2fg4fCmH+K40IhVniaqtCWPBKE867JhMDCqMbFqEg4ePXm1B3UFdOpDBQuSuA76R2xMUJeHN7HfoXxiMnNw4QBCSliMgfltgl/udtkfD1x62o2qf317h4AcVTkjFhRiq2retQTrmziS8ACLQTmurDyOrdc53QXabstttuw9///neMHDnScsl3S0tLd9H1g0BWbzcuvSEDy/7bho279feJyQLyiuIwouT7cSypJLHsc0tkkdWWcD1OjRugvQ9HttN0tElY8p9WHNwXwAG5DZWSwugWNDdi1sW9kJrughQm1NeEcPCgH6GgjM+bmjFiXBLyBvcsz0T//Dj07udGY20QAsmaQAQAd8RNRzLggvJN+U6aW3bK9FRNEA8vTsCuLQFbwV06NUmzorevbceKz/SFaWqcUIDw9cceuNwChpckIWS4iUsAUC+360wt4rY/FtucYkEwIKOpLoQVn7YiOUXE0OIkpGUeGTM9Hq5Ycz0djHhDmgQ/siP3hEum9WjuOAE/npeBj970oLlBYqxjtxsYOjqhy5ZfYpKIfoPcSI3MehypwAaArxe2QpaM9af0T9Xl/9VHHlx5W05UBWf9Mh8OHzJ7E0hNCqGgcnTuro1+7IK+cC4uXsDk2WkYPalzD0G7V8J//tGIDp/J9R0krF/WBp8nHN2jYUBLw/dMaC9atAhVVVXIzs62fLv++uu7hagfErL6uPE/czPQsLQJ1Y1+uN0CklL4B60cb6jCNpY5tWjIyWW7md01iTm5boRDhI9ebUJLg3U1SG1VEAteacT5c7Ow6J1m7DnYgRCU7Ur7d/pRvsOPghEJoKzuOXSkOyAIAsZMiMeyj/3se05YEQQXJIgRCzyzFxjLecZ5aWhvk3Fgb0iznNVijhybgAmnK9azFCZ8uyT6SvLVX3gxdEwisvvGoa46zF3ZrtAPZPWOnel3h2wkIhzaH0DtAcVi2nFIOQt87VIvRk9OwbQ56TEdkXqsQUSo3OXH1m/bUH8ohLCs+Css4SJ/7baMpWe6cNUveuHAvhDKFyvb/04tTkZyW9IJPaymsS6EhpowNOka2ZRKkJX5XwjwNEuoqQyhfwHfGyCFCdvXsR6iIIURH8PGpVCQsOJTDwQBOGVidMG9aWUbOnyyrXK2a1OAuZsgbNfh0b23AR4LdFlojxgxgiuwAeBPf/rTURP0Q0VCkmhZnHYiQEQo3+7H5lU+1B9SmGZOvziUnpqGolOO7OL7XjluDCiIQ/WBEFc4CKIinLL6uLFzYzua6/nLN0kGvM0SPn2zCa2R/ab6Vinlb8XOAKr7BTGgqGdY3ESELavaOg3npzDaKYxU47WeGztw+pxemoByxwk4/6oMZZvYwlqEgoSUJBcuu7AX+vTXhfvB8gAChhXpfgqjRm5HfzEFCZHV5u0+GbUHQjhlfCK2r7PfJ0wEjJnU+eEe3YktK9tQW6m7OI2Hnmz7tg0JiQImnJHOiXn8QET45rNWbF/TrilQxJwiYB0nRECxTV0KooD8ofEYVKEIv8EjE7B5g2CT0vFBa5MEdUpHNKhju6QWjHX3hggCgeBpDtsK7TaPxOyOaJUD2Co1IFNMRD9Br4top/utWeLFiLHJtls5iQg7NnYw2ybrqQPJQpw2nhRtQ1OfsFtu5qYliEC/QT17hX2XZ9z/93//F3/84x9RXV1tsZh+/OMfdxthDk4M1iz2YvH7TWg4FIRq7zfWhLD4/Sas/K/HEr6pLoR1X3qw8rMWbF/jQ6CDr8HOvDAdiUlCxAUsa/9ESEhIBGb9j7LYZ9emDoZL1ctWgdJiOAyEh8OHQpCl7rD5jh6tTRJaOAeTtJpuBVsbPoztUhOaDe+DAUIwwJZDEAQMKIhH4fAEDBuTiMIRCYzABsBsMQOAbVIjDsk+7JCaTOFk9O4Xh4kzUiJpW+kfPCoBQ4/jdq9wiLBhWXQvweaVbQgGom+DCvpltHskSGEZx+Jqiv3f+bF9jbIwS+2L6roABYZph0i9jihNxNAxx1eZJCIcPhjAwb1+eJq6tpdJPZrWrIa0UZh51+6zbwvRJGirSVFgm2W/di8fAGyTm9BBYQRIQoXkgd+wVz3gJ+zZ0o7Vi1rxrz/W4JXfV+M/Lx7Gzg1tkCWCLLHbJlsoiN1SCzaF6w0VYWQrhCbj/nVj/yDZcjJhT0NMlrYoiowWRET4zW9+c8yIcnBiUF0RwKZvFIbJO3ls27c+DBwcj/xhSQgHZXz5YTMqdiiHQwhQLKLVn7di+nmZGFaajA6fBH+7jKRUEemZLkw4NRGrP/cw87ouyHADkEL6fDYMGnM7mRmNri0b4aWgvqhNIrT7ZCQmHD/PhZ0DImyzyDBk457zkG5hiiLgtlmIQzIhHCa4TPUghQneZnbuzk+K0uAzbStULyKZNCMFmTkubFjRDlQp3+ITBZw2OxXFk5OPqyu6pjJgUVR2SM0YJKYiJWI1hUOEg/sCKBplPW6ycmcHdqzzocMnI00IwBspc05mPCqyO1AwsnuOqNyy2scc/SqRsstXFAABkrISP1JtvXq7MHt6OoYVJxzXaZvG2iCq9wewYKUuvPoXxGPauZnI7NP5lq1+g+LhEqlTIdZ82H6hYkqaiMzeLjTXRz+JrUUOYJ2sH+BfT35MdPeJPBG++bSFmVtvqA1h2UctKN/egbN+koW4eEFb0NsGzty1urOOrJwtQLpHAQQEOmTExZ94r6cdYhLaJSUl+Mtf/hI1DBHhjjvu6A6aHBwF1D2QR8Ictq32aVsfBOiCJU4QtW6+epEH+cOSsPTDZlTu9Efy1EWpFAa+mt+Ebau9aKxVBo8gAH0GxqO2ir8QJNgh45PXG3DFL3OR1suN1kYp4m5kIagLtzgOwx1SMya5+0AdkHbz5t0FWSJU7OzArg1t8HkkbJc9kDJlZJoWsKT1ctneHBUNggAUnZJgWU/Q7pWwcZkHm1Z7lQVsgoD/Hq5HRpYb+3d0oM0jq4fgqilxEgcyc1zIMcyvDh2diKGjE1H1WT0oclhNyZTjf3kCbydFg+xHEwVwqjtXU/h2rfchNV1E7wHxGo0717dh+cfN6AhZK9vXIuGLdxpReloaJs7OsHzvKuoP6Vs1QyRjdbgOaUIcSt05kWOJZWRmCRgyJglnF2dgWG73LiptrAli6yovKnf5IctAdr84nDIpFUWnJEEQBNRWBrTxCYN8rqkMYsE/DuN/ftYHvXKiC27RJSAuTrAoUQDrzm6ss7fgBUHA+NNTsfiD1i6VT7e0FWEqKXLVQIDy52B5AOu/8iI714XaqiieBAL6DopHzYGgYcGnkrr6LEBxjydEOf2vJyAmof3b3/4WZWVlnYZ7/PHHj5qgzvDhhx/i0UcfRVJSEkRRxF//+leccsoptuFXrFiBO++8EwkJCQgEAnjyyScxffp0bthnn30Wt912G5YuXYoZM2YcoxJ0P2SJsHNDG7771ouWhjBEF5A/IgnF09LRe0Ds8zM1B4KawJaJsCpcBwA4zd0XYmSAtjaG0VATxP4dfptUlMGgCmxA0Y5rq4Kwm50jAjraZOzd1oFR45NRtTfADSdGHFmKTaMckqC6IxVGqVg4gggkp7ogS4RAh4z4BIGxFmWJEAzIiIsXtXkyKUzYt7UdO9b74G0OIzFJxNDSFAwfl4LEZFbrDgVl/PfNBtRWBjVrq0UKo7E2gMOHRATLZMQnKjNPCUkihpySiL3bOr8ARYUgKP9KpqYy79s8Eua/XKcsuDHIpao9AVRBrzPVTStDvcbIuEJcYbann5fBFcjH6wjYjrYwdqz1od0ro74pgJx+Sj/NzOGzJJlk5lCM6nI/Du3zY8DgBMy6LAeyBHzzKX+e0ohNK7zoX5SAAUVHJ0QFZWM7AESmNAheCmrb5ABl9bt6bWtHm4Tt3/qwe6MP/jYZSakujBifglGT0rhnExARWhtDaKgOotofAFa7UDQ6GSPGp6L2QABL3lemOtR+cLgqiLoDTThUnoxJZ2agcjd/fBIp3p+1i1tx5k9yOi1nQrKIYCC6lRwXF73PDB2TBG+LhG+X+I5ofl4AGO+bDEVZjbzAlm+8JkXVmsDgkQmYPDsNbz1Tb/qkL08TBKBwZCLiEr4H+7Qvvvhi7feLL76IG2+8kfnu8/kwc+ZM3Hvvvd1LnQlr1qzB3LlzsW7dOgwfPhyvv/465syZgx07diAtzXoAQmVlJX70ox9hwYIFmDFjBr7++mucd9552LJlC/Lz85mw1dXV+OMf/3hM6e8MJBMkieByCxAEAbJMkMIEd5xga/GQTPji7QZU7dEHqSwBFTs6ULGjA7MuzUbe0CRU7GhH1Z4OyBKQ0y8eQ8emWA41MAqVsIFBNpAffQTdrbhnSzvjGmySAzhMHRgipsEt2K+ejQoBqNrrx6xLsjBwcDwOlQeZiAKzzEcGSOJc6qCsvo5zE8q3t6OjRcYbKw4hKVXEqImpGFqSjG2rfdi1oQ2hIEEQgcJRSRgzNQ3fft6iLH6KuBr8bTLWLmnF9m99OP/6PsxWo1WftaAusrJZt+gV4djukfD5Ww340bW9tTabclY6qiuDaO/kOEq1ieMSBBSNSkJikoj925V50z4D47FqUWvUFbI6HeoWMhkyBEbYxSEEl0vAng0eJMSnI7ufrtTJEqG1IYRAhwyXW4C/XUJSypFtfQmHCPWHApAlQlZuPJJSI8etyoQl7zei4jt9rUJVyI+De/wYIqdj1NnpyB0YB1TA0P66JaS9iXyrLg/gqw8a0b8o0XKvuVebDlBXPiv1sPS9Bpx6fhYKRiYdsSchd4By2I1Ch265AfpBHX6fhB3rfJjWL4h1i73o8OlrMdo8EjZ85cHuTW04//pcJKcZxiIR1nzRin3blHEmCi40B8PY8JUHW1d5EQpaPTdqurs2tCueL8P3AElopSByhESIkZP3Knf54W+XLAqpGUWjkrBlpc9+EAvKGOoM46anYvApifjHJ20IN4SUrYbRz1uKJE8Mr9kre1Ajt2OsOwdpkVvoVL7gggTJJLiVledJmHZWOlxuAadMTMb2tdaMBUFRWCeUpVq+9TR0eUS+8847FqGdmpqKhQsX4sILL8T//M//dBdtFvzhD3/Aueeei+HDhwMArr76avzf//0fXnvtNdxyyy2W8M888wxGjBihWc1lZWUYPnw4nn32WYuAvvXWW3HPPffg5z//+TGj3w5NdUHs3uBDZXW7sjdWFOCOE/DqqiqQDCSmiBg5IRWjp6Uj3qQF1hwIILzHDfOoUgftl+83IDnFhTaPsgeUAOz/rh3rl7Zgxo9zUHhKMvztEvZuaYNL5I/Mw9SBPtAHpiyBGUjbIguc3BAw1KWv6pWItLlmsTPmSEq6oijg7J9kYc0SL7au9QERj5dxE5wLMpZJhy2bb9Xv4SDBGwxrCkSHT8b6pa3Y+LWHua+aZGD/9g7s395hlA8MTR0+CUvebcCF/5sLQRDgb5Owe3M7y6xJ19YJQF2lH//912GcdUUfuNwCUtJcuPhnOVj3lQ8r1uiroQcWxWP8jDSkpouonN8IWQbG5qfhYFBA1R4/3numGm7DWlHeiWUWtYWU7WJ7ZR+yhHhkiYkMbYCyfmDv5nbs3dKO0y/MwtDSVBzY1YHlHzWivKVdC/zWHw9hzLQMjJ+VEfPWI1kmbPy6FdtWejS3qiAABaOSMfWcTCz7qAlVHCuQCNi60ouhOWk4/YJe+PD5AxGXKCsQzSUnAg7s7oC3RbKZhlDCyQahH+iQ8eW7DRg1KRVTzsnskuBurA1ixYIm1NcEQXABEfeqCvOiraBfxoqPmpElJ3AvevG1SlixsAmzL8tBTYUfzYeDaPNICNXoZ8qriann1BvVF8XyJO36TVX5FQwNvk5qgESEQpeMPEE/8rbdK3cqtE+ZmIzta9oQ5k0TC8rahxFjY9tdkJHlxpDiJAiRm9Sm5fbCvgUtzCIyIzJ7u5Hdx4X9Ozq0stRE7mc4IPtwiqsXo8gJAFwUhguSpqDFuyRMmZ2meZBOPScdCYkivvmK3ZXQK8eNmRf1QlYMc/0nGjEJ7QMHDqCiogKAcoDK8uXLLXOGzc3Nx/xwlSVLluC3v/2t9iyKIsaPH4/FixdzhfbixYstrvCJEydi8WL2RomPP/4YcXFxOPvss48N4VFQVxXAZ68dRmMgoDF/kgmhAIEi/cffJmPTMg8qdnTgvOtzNdcrQKjZH0Bv6IMmRDJcEDQhKUvQbhgyNpksAUvfb0BjbTq2rvRAlhE5LSjaICak9xJx+ICfuzglYLohapfcigbZjwFiMopc6eAvb1MgCNBc+e44AdPOTsfYshTULWwBCDhU7ody7oLmJ2Pi2y3sMoo1WTbmrzJ99Z3BfU6k1R+Rcoxj/aEg+gxMQF1VUBMMAgjNchC75FYESXfTA0D1vgDWLm7BlLMzAQDJaS6cfn4G1sanIhxUvCnnnaNvnewTKXtWrhtffdKOdq8EcukJ2hk6sqEeDsk+lEteZIrxaJKDOIR2lIm59puQCFi+QFG4li9o0quU1PoCtnzjgSwTJs/JtKGAxZrPm1Fjuv6QCKj4rh11VX60eaL7XdZ83oJ59w7EyPEpqK4IoOlwiCl8kGTsllvRT0hCtpgAdYVD02F1+oWxx7VfvP7x3Rof+hUmomBkbEKnpT6Ehf+sQzhIhikIozqkllef7yVSvA7E3OQl6xfGyMCBXR14648HEeiQURFqB0FAX5e+L9m4upm0/yvpb5Sa4KMQprh7K5fHECzeGCny0EwB5EFPN5b719N6uTHnJ5n47J1GIASmehNTRJx7VbYlHZIJDTVB+NtlpGa4kNmHP0WX3TcOxVNS0OaR0Xg4hHCI4BIFpGS4kJIq4rL/yUFNRRDl26NsSTSQdFBuQ7nsRbaQoL2TwoTmwyH0Gais2hdFAZNmpaEkmApPcxiSBCQli7jsx9EPiOlJiElov/LKK3jooYcAKAsLzPPbgiCgT58+jEDtbjQ2NqK1tRV9+/Zl3vft2xdr167lxikvL8ell15qCV9eXq49t7W14b777sOiRYsQCPDnUo8VSCZ89X4DpDDP5WkWLkDL4SDef/ZQhIEqWx0CHRIiXiK0Uxhrw41IFdwY787WO7QNnyQAm5ebt3GxmrzxvQsS2lskKJs2oix0iqAhsq3ikNweEdr2YQUBFo09PkFEWi+lcL16xwEHFaLNqdilKoPgpxASBTd0hk4AyWiHhGS4Ij5pPYUWOYjNUhOKXGnIE/WtUHUHFKFtZp9bJft51J3rfBg3I8OgZClMI9o1l3UHAmj38OYQO59k2CcpK/+bZV1oElGkRdkFekYGtXZxS9R0t6/2Ysy0dNaFy0G7V8K+Le1IFqxshQho88gw1nWzHMBu2dj/COGghM9erUWd14+s3nHoMyAOuzbo+9z3yx40ygE0IoAZYh/tvTJ9whdCao4yyZBBmgdGALBpWWvMQnv9ly3MbgCR47b3UgjbpGYUivzzyqvkNpRLXgx1paO/mAxlbQYh0GHfvi1yEPvhRaHLmqa6I6CRAtq+585kjyAAffPjue3Z7gnjuzVe7N3chkCHBNElIBQgZU2BICM+yYXkVBfOmNELQ05R9k6HgjJ2b/Bh1wYffM1hSBIxHo/sfvGY+qMsTXCaqEFKugspnEtuBEFAv4J4ZOe60VTPHgAkRNa0kEFRK4/0/0Yy83H+2o3M3rpVfbIIbCDGfdoPPPAAZFmGLMs4/fTTtd/qP0mSUFNTg5tvvvmYEdrerrhFEhLYhk9ISNC+8eJ0Fv7+++/HTTfdhH79+sVMSyAQgMfjYf4dCQ6V++FrNTNovRMSydp2HbVL+dtkfP2fRlTu7FC2R0Fn54cjQtIXWXlp7oYH5DZsk1p068zEJxTrQXctGeGCfsSiamVwE4kK3V2q5Skqz2f8ODOqUMjpF4f4eIFj1+jwUgi7Jb0tZCKsCTdG5jaFCO2EWvJjXbgRO2SPpY5UIaIyAJVqleY+A+Ijv/mqjRFSmFB3oGuK4KF9fqbhGuUAGuQOaMebdlLfZprWSY0w3n+8QqrHesN+beJYZiwIRIQ1i5pwYGc7wpyV2RqttUHmbmgfhdAg25d/i9QMP0na6l1VCNZW+NFUF8T+bW04sLMdoiHNAFiPhvo7YrfCXD8GRzLWSI34JlyPMOn2cVNNEJu+brGlUUXQL6Nyp27xyUSoltvhpRCzLXGnpHhddkmt3HTUfrVH8sA8Fx6tbQ9E7sfmTxUYQRgwOBF9bQ47UdnLxJkZlk9NdUH856812PqNB+1eCVIY2jG3SpcnhDrCaGsNYUBBPFxuAYF2CQv/Xotv/9uMloi1bHZqNNUG8ekrtTh8sOtGkSAImHNlNtJ66bxBFdjRPHcq4hMEZOX2fJd3V9DlZXJvvPHGsaCjUyQnK1qk2RoOBALaN16caOE3btyIb7/9FjfddFOXaHnssceQkZGh/cvLy+tSfBX1B5VVp6ytp/sot8ot+DbcgEYO42uqVebBgejd1jjE90s+RQhYNFHFZbddakGT7IcLUmReiLQBYrbYRWbgKBAEICObL3hVGoePTUJymrINyuUSMPiUJPzPz3pj8Gj2dCQz3HEizrmmN+Kj3AK2IdyEGsNhLCqDUwVHO4XQSkFURebF6uVoV1IaQEC/yKUIyWkuDBqWYLnezy6itzmElsNBy2EvRISK7T4s+XctPn7xEPZv88HTqCwC09zTIGyTmrFdajWsno7irbDOcKPDtM9dJkKbZe+7Pf2qMN2/rQ1L3j6Mt/9Yhe++9XDbKORnV7WvDzdhu9QCD7M/3CxUdaHAjINIsECHDNGlqbHQt+soAfZIHmyVWhSPAoVBxCqTxv8HIgqwSo+a14alrdi/Pfqpdf529kCfamrHHsmLDeFGTaBaS6e8oSj9yzjuVfrsYRTypLm9zcgd6MagoYnomx8P87rQlDQXzrkqB7mDWGOGZMKSt+sRCkRf6KisPpex5nPFw7Tykya01Ec/05uIQBLh89drsGphA3at86D+oB9Bf2z7IFMz3Ljk57mY8T+9kJImanVgp6gp9aQsxExLIxzY2XbCzs8/FujyQrS5c+fiyy+/PBa0REV2djYyMjJQW1vLvK+trUVRURE3TlFRUdTwCxcuREdHB2bOnAkA8PsVJn777bejV69e+Pvf/44hQ4ZY0r3nnnvwq1/9Snv2eDxHJLgb66J3dtXNWU3tyKZ4SCC4BXVfYWw2Lo/Fy5yYFbIPDbIfDfDjDLGPaTuVOjCU1A7IbWiUAyh29YJbECLWOSCShLZGP9wuF8KScriESqcoAhNmZqDktDRsSG7Q8p15ZpZCk0TYs9GLHWs8aKlXVjgPGJaENlERZG0eCeVBD047NwP1tSEs+8q+fHwQ1oYbFMFgMPV3Sx4MElMjx3taUxNEoO+gBGT3VSyX/dt8OLy/s2NJdeGy5rNGAMr83ylTM9DuCaPugB+tDSFkxenWkCccQmtDCAMTU3UvvqGdwiAkggD14A5bC01vJ4Hzjkcr/5sqINhvoQDh28+a4G8LAwTUHfCDANTJfohuQbuZzIg2CiNdPU7SMO1jFNi2IEAKyRBdAtzamgkBqrJbHVHSqoUO7JG86C8mQTAsO4ulfwgCsPUbDwpPsT/fOjHZxSy+9Bi8WWRT56I21cSOH6ZwhjrYIDVryoktrdC385XLHkO6pOUZnyBCCAnoX5iIPgPjcbgqgHavhJwEF0aPTeRanofK/fA2s8qcRASXIEAmgg/6N3WNQvPhICq+Y88VV9eDBElGEwXQW0iAuoswFASCkowOWcKhvR34svEwQiPkmLZYueMEDCtNgXsx66mTKAxAjCzEMyp1CryNISz7oB7p2S2YM68vUtKNIk/ZLdFwKIC3NlRCdAvIH5mCUZPTkZ7dc63zLgvtVatW2QrJuLg4FBQU4JprrsHVV1991MSZMXPmTKxbt057JiJs2LAB9913Hzf8rFmzsHLlSubdunXrMHv2bACKa/z+++/XvlVUVKCwsBB/+ctfou7TTkhIsLjdjwRSkKdp8tnMOqkJbRTGqe5sxGsdVHejC5ytVl2BuoiMtWj4FJVLioV/iNqRLyRbXJWQJLghITlVQFpmHOITRFx1WT9mpaoUUo4LVC3Qr947jAM79WkLKUyo+K4Ne0IRb4IA7Gr0YudaL9Ky3CgYmYSDe/3KtZOW0hgZpmrB6eGMVmKN3IEOSCh2ZWlxjYXOyHLjjEuUBWObl7Vgw5eKhSFGRIOVGRNEjgvX3yZh/eIm7A7xj+hUSQoHZYZnMykTYZvcAjdEqFvgRBDcCMfgrLcTGkBKuoh2L9/C4qdK2LKsVRNiMhFqpA7l+knRNhJEAUjp5YK3WYJ5LhgAJBDCJGO7zE43CQJAEkE/ZIyndCqKlCrEBSiLH9QrMY04ILehXPah1JWJOEFUFhtWBxEK2AuQ+EQRg4YnGVzk+hYyo4+jnUKWstnVoWgQuARoixmVrzzeoAt4ETKaSPUUyRHPlwQByrWWaAFCARl7N3sRaI+spBaBjYubsXFxM7L7xWPouDRk909Edv941B8MMKvv90peHJTbUerORKXcxqyTAJRwB/d0MH3msOzHd1IrhrnScVBuRzuF4RUTMcyVxq2DDp+Eyh1tGFKaZkiXEPTLCi1ECAcJvtYw4uIEpPRyKws0I9UWJhkrw/WAIOB0dy6s0w36uPI2h7Dk33U4/8b+EaWdULW7A43VAQgCEHArBd+1zoM9G7yYdUUu+g/untPzuhtdFtp333033njjDVx55ZUYNGgQAGU/9Pz583H11VdDlmU8/vjjaGpqwm233datxN59992YPXs2du/ejWHDhuHNN9+Ey+XCvHnzAADXXXcdwuGw5sL/5S9/iX/84x9YtmwZTj/9dCxfvhw7duzAu+++2610HSnUy9lZBw9fy1bO+yU0URB9hUQYLZb1UjMSBRdSteY0aPCiwrR46yzSernga9XdfipDFEE4IHe+iZJMV00aIQDwe8PIG5qElHS3JrCr97Vj70Yv2loVzf2tLfuRmOKGt5njGjQkTaQMaADwNQVxqLENg8ekoqUxjMORPdMq+9OZoYIQZOyUWmFnVXZE5lXVDBOTRcTFizh9diaKRifDHSei5XAQGyMC2zg/rhOqp8vm0DW3nH41p6AJZrVd9ss+NEVc/UZXslHRUi07O0Fh7DcqhpSkYMdan+GaTnbKJkwyqqkDvYVEJAl6nzUb+EQEwcXuq9XKJSiC79x5vbHmi1ZUbG+ztMZuyYtmMWgSEGRSYjobKYawREhOE9HmZdNojbjHD8rtKHTp+3I7O/xm5IQUHNjdAcjGg1401Rl29W526bNQ3kkGgS0A2Ca1MC0puoBBQxJwcC97/7krQocypaUM9EHDkyGvIuxa50E4xC9UY00QjZ8oXqCMnDhk5yUx5B2MjP/9kk+rLzPdbtOhKt9F5vGN60oaKIDhMAhlYwoy4GsJw98mIT5JRF2FHw3VAcgRV/ZbWysQDutz5Jm57Dx9m2r9k3rQkn0DkqxMKdZW+NGvMAnNdUE0VgfU6Ew4SSZ8+XYdLvv1IGYRaU9Bl4X2li1b8O2331pu+rr99ttx66234t///jd+/vOf4+yzz+52oT1p0iS89tpruPLKK7UT0RYtWqQdrOL3+xEK6R0sPz8fCxcuxF133YX4+HgEAgF88sknloNVVPpXr16t/R4xYgTefvvtbqXfjL6Fidi/I4YTBmC3AIXgJ8XKaqMwUkVXZC6HEIcwCEB2bgIKS9JwcG8A2AmAgNQMEfl943G4oh1ELiY9FQeZizqswolHT6McgFcMa4ceCAJQV9GBpFQX1n/eCEmWsWO1F22hsJZmKEgIBVXXm5J2kGS4TezP7PaSw4S9G73IzI3H4OJk1FYElL3opvoBBG2eO9qUgsp4M7Jc6D9G0bCHjdUZ+q71XsYSCZHMHECjW0GsoPVSGCKAFM6K6gBJ8JGE3bJufategZQMN+DT0xYho0puM4lcjjs/ShmNMVWIAjBmajqGFKdi9X+blT5iwh7ZhzrZj0qhHdPdOTY5q8lLSEyOQ4epW2f2iUPZRdlISXNj1qU5WJkMLFtlJbY+ysI1FtHn9tW+4veGIRDPrmezTs9yI87mSsZAu4SVHx1G1c52uGAWzUpr2yuvhEYKojzchjwx2TbcNtPCNV0hU8KnprkQaJci/UtRTIMkwVgP6pkBC1+swtbWZkZg88aFitaGEFobQwZeYF8WlR4XJFRs9UAUEfMFG01ykLs+x9scQutuZX+6MWvzkbbNdUHIYRsLxAaH5HYMEJM0utf9txHTLuyNw1UsHerZ8erUWThE2LfZi5GTM2LO63ihy0K7urqaezVndna2tpe7V69etovDjhYXXXQRLrroIu63t956y/Ju+vTpmjCOhs7OVj8WGFKcgg1fNnPP9mVhp6GTxuQVV6nEMAUBQHNtAE21AZRdkouxfdJBAHo3xqF6l+JOdCPMPbSDzYlMx2La25Xrwk04I64PIqYXvE0h+JpD2FbTbAmrxjYywXYK49twk7JtzZXJhD0gtyNfZPtVc10QLreAYeNS0dYaQsX2NoSCCtXq1YH6RIJaV/w5XADoZTpcgWRCTXkHDu5uiwhsJdw34QZO6dkaCZGMdWFlnrLMbd0HujLcyImtoM/AeIxITcO3qxu4jN4snGsNtxZ1Lrh1GsfP6oWEZBcSkl04+5o+2PxxE9paw6g0KJMtkUtM1IVPxmmGLXKrdjeyAIILhHB7CHECIEBxNw8bkYi4xhA+eeGAUrZBicgtSrEhkrX2eW2l1Affy2NW7tRDcDqb3T5lajp32w/JhM9fq0ZLnfGYWEHzRJCBZru+VRdpmz0SOzVitNCVOrahUQDSsuIQatfHu8xcfMG2i7cpjGDYqtY1y0E0CwFkCPHgnZXjjgPksAyBrCuzBXUxqgENBwMgEhHrembztIdKd7snjDbLLho2jOVVjHJ7j+RFnpioRWmuC2DhSwfREWLzWy41IFuIxxhXREgLyvbLkZNjy+d4osu2f3NzM+bPn295/+GHH6KpSdlK4vf74fVGv17PgeIuPOuqXMTFCazyGPnde0A83G7j9ioW5ii8xqSIV27F/MOQJGVutWpHGxPPBRkumE/k19EshyIMOawxxc6sOSvjNOZojq0/H6YABJC2bU2JoXzfJ/EXgDVWB1C7vx37NnoRDsoGZqjWi+qa1FfDm327AiS4EIbHcGNRY7Uf85+pxJJ/VUcW6cjatiS7chv/Bg3b4gRBXcUem7s8Oc2N4RN0S78zHrVTMs0DI5pLVsHoaWkoPo21JOITRWTmxkfOwzYqgOp1qvo7H8JokoOolf3WOiGFBikgYf82L3MTVH2VH1u+alRuMBPYSOpqdXVqXD3GUv+utgEQh7C2YFIQCEmpIlyczQuCrSWsvBMFwuBivpHRfDiI5rqAFttuTp23aI/9xgdbp3waRYEQ8kvo8IagKCvMCg0AsF15zk4mCNgkeVBFHQiQjENyB8Kq64gAORSGGNkOZ+znfD+FMq7FSL9QvUGxbmEzwu5cAgHKeaweCiJs2BrI9AnB3vDmnVRnRxcRMdsTBYDZatiT0GVL+4knnsBll12Gfv36oaioCIIgYN++faitrcV7772HpqYmTJ8+HdOmTTsW9H7v0CcvAZfcNgAHP2xH5SHFmktOd6H3gATEJQhoqvZDEFyMFq8yMzMOkm5ttZOEBIjawfpSiNByOABfSxj9oC+i81EIHRQ2DEw+41Dzc5usefuBaQ5jnUsFFO0/QXBjn+xDvpikzdHZpd1OEvbKPuYdEXC40ng0ppXJmFUFsyCPi+TrbQpC2kPIGZCIL147pB2modZ/Z/ulzXOuavgOCmGr5IlqBQsR5UEUCA0HO4CxhOQ0Fzq8+nSCYEiVD3W7C/uGXVpIcCOEPv3jlAV/27zYu74Vba1h7A22Ii07DsGOMOBWFjepbSIYUjTSEMveYaPmppy8B0jBMOIS3JG5dKOSwfpx1FPreIsj1b8ukiEHYXOPuuprIe1JT185CtDbGEZ2f6vEbzjkx9DIEb4CgDo5wNRu52Xnh3PFCThlShp2rG6xESi6VQ0ZaKoOQIqTYGdnVcjtKHLZr37X0xZQI/tRCz/aSUKrGMKoyNHDgvo/0mk2K2oqJBDESK26IEWuJFXHibme+QqNCBkuQY4cY2qeclDQRCFskTxwCQLK3NkaXbl5cSgpysD+rT6QTDhleApWbRBsj0Q1ph2LkU4E9Cv6nixEu+CCC7Br1y688MIL2LVrF4gIV155JW688UZtYdqaNWu6ZXX1DwVJqS4MHJqExL4i/G1hNB7y48B3HkVgaP1ZZZRmK1GH8ajG1eEmpAhuTHYrLmZBBLxNyraifi51QQdhbbgZABAvqCuSzV3aTluNruGqCoDq4qyQ21EgWq2ZwxRAdWQ+r1EOoNCVrMXlzRVukzyMFW5PKd+lbKYTYOtNANB4yA9PYwgD5SzDIj3dESowzyYBYGBUO7UDNBRlg7XEWWqYFedEaDjox6cvVwEJRmunc7+g1SsjGOhla2jFB7XIzE1Ac61uYbSHwmj3hiPWlhxZJa/nqkyTRD8ZbZ/UhiQhcna2QckJkWJFuwV9qWBCPKFvQRJq9rVDDms1wIH1IBIifSwQ1DlQ+/oxTpEoZVEXLQLBgITtK5pQf6ADggh4esmQSEawXdZWrUtE2BZxcWeK8Uy6em/oXIwLIjC0NA1DSlKxc3VLJA3rjgMr5WpJ7VW/Q3IHJKh7vnmqq4L2iGXeQOyqcHOyHu4iNGCl1IQyt35LmNGbZrTQ9WWLbBlUSz7a4j8BQKPd1IwMJMQDAW8QQb+MPWtbEA6pZbbWT6McxH65DSNcqUgV4mx4nY7EFBGFoztTgk4MjugKn/z8fDz22GOW942NjcjOzkZKSs8sbE9H46EOVO/R5xKN3VT5v4xdko+7z5oH5hANIviazQNQTydo3hdjgNHCMZ51bd/lyfJ9v9QGN0QMFFllrjrqASfWuTU/Z6qAMxNpS1lnUGOG/JJ29jsRYb/cgRTBhT4ie6Ujz7WpMgQfhRmLUBd8qjWixBZhrVN1WsPvCxtiC6Zwxn3AdlYfX5ARKTGba/3c72oeBLZvKFTIUK9HNcNLYVRqOw/0VegSyVgeURBnxeVoObZ7JWSClAVGTA2wdLBflHy/iZzsZvxu5//QYRQoEkRIcMcJ+OrNQ4qVHkngoOzHLrkNMgnaASXG2jYa9JzW05RVM9xuYODwZAgCocOnjk/rfDELVYEFwhFhzAsfIAm7JJ82Xo2+M+MvYx3pB7SoNMRihxrjmUvJtoBqiQMyXC6CIAIS5850u37KAwHwNYewcXEDgmGWH+jX97LYLLVCgKJ0TXFnRWgztqiqbskQRBFnXt0X7rie6R/vVqrM53w7iB2ehiAjsHlQrZ+9ks/03l5IiZG5WoEkyJJurUmRuSJrHgRoVqF1/naTxB79aZ7vEqCc68ujaY/k1Q5iseZrFEoU0bL9lrDhqMqFCnv3tZFuI+rloM3WFsVFVyG3YZukHmahp6HNqYIVHrz5ZOP0g6DF71zBsJubVtMQOG1lFu/Q8lbDWhUi3ilnfm2uVIl3SG6DG2G4ENmPzOoSkCAxdaKiLcoJcocr1Z0KsVrZCkJEpjq3tis7nUFMnavuXzkkKUoDsWFB0caWfduKWj6y1j5CZN0IhSVUbfdi95oWLH3zIGJz1yohJCKsCDdhRbhRs+yNCBv6Ca8udMrN78nmt/pspwqZ25Ttf2qdaKcnSrLpbArjGhNrfABoh3W+WwAph/vYINq4Cpk8ler0jyvSb+MRRlqyDFE4csX/WKPLQnvTpk0444wzkJmZCZfLxfz7+uuvjwWNPwjU7lMXWUUbUArMK2TVd+Z4OtMwQ8Z2uRXrw/wz07+RGmE3l9XCHAHJDjKXG+idl4Aik1tJd5eZGaMVujAhfBdxRfLKysy3xaagR8DPd4vkwbpwKycsIQTjYSCqDRN9QdrKcCNDlgydmUbDIZmdm+8MiiJnZVLWJ+PMtlr/OjWNchBfG84kV7Eq3MzE3y21RawnijA6CemRu8atC5H4+CbcjIBB+Qr5rUybD+PiKF5pDf1K0BVKo7tWBT8d/avVrjd/ZQWk/ldX4PS24e8hVpVw8zs7HDIosXxvm1mB5i+6ZMPLESXMeOeAbFBIebxG1vaIu0xC1SisAUKQZG5NmsePXb9ptyyw44ezU7ijwaxYqvD7wvj8HwciXqiehy67x+fNm4fZs2fjV7/6FdLS0gxX0BHuuOOObifwh4LWxiBY5qN3pybZahEDRsYhGJ7NzIkXD2iU+Z1cACFssGDUFAMko8lkmQsRxh0fT8jqn4j07Dgc2t2G8tpWWPVBJc16CkJnLtZ5Jf6MlOrKUq0Y/bsAgnLmipli/Tc779yZBc7SLIKY0+L0uUc7pYPgoTACxDKEKvloGYDVxatDily8IkS8KcZQ1j5hTi9McsSDYnZR2vUjQ5qkHHYjcsPx4ScJu2XTTgABAPFimy1Hs2uYtDLo4WSIbhFySI1rdlbz64SIsFX2IR4iUg376pvlABooxKzJYISjYf++7myNBaxD2j6OkqKq0PFVCsGwuJJNyawwqAseBcOzvi1S9w6wVCpHw7JpWRevEqz1GiA5coqjrvACQDUZV2uTRoddHQiQbMOoCje73JI4R/4q6OzuAClEWP/ZYcy+blDUcCcCXRbaaWlpeOqpp7jfnn766aMm6AcLpl8ZbToWuivUOmSirik2uD7t5sR51rqK9VIL/JE5WjWc6lKSQjLqK9pxuCKSTpzZBaezhFbDPK+ap86WSb86kjM4eXO/bBr2dcYqOMY82bKr1ruR9ZVL+hytCN4CHxYSmVfYqwt6osczW3+qJaALX57VA7hBEGSC4LZT0uw9AoCA/XI7o/DpPgWZyVOlRSYyCIjo5dFntY20EIIUgn61IjjbAvlP7CJEngBRIIfMB49Y41TIfvQVE5EiuCAA8EFCfUSZHe5ya/E2Sa0ArDfNCwKQNyIFKelu7N3kQThg9DTweiKLEMlopBCyBfONXLpyYhSHHdp558rRtcbFi8YVAbxc1XpXBa+5n6j8hO+ZMypN7DtAcTHrixOtuVfKfgzVVrbr35s4hoOaB6uas9MafPDLpG5JE10ASboCYgf1vHVAmbbxNQeRmmlzY9oJQpfd48XFxWhoaOB+27Bhw1ET9EMFe3uVsbMaFwHZubutDN+ILZIX30gt2vMuid2nbcyT57YSIMNPIZOrzGAlkJFmNl0zvTWcG8aMloZZGMdSPpWh6P/YNHS3rZmJK2UTLdaFKmqs7l6J7Nzi+rs6ThnNYaxlMIs3cxxWeFrDGhdzQQtnl6dXuwCCbBb3EYKGvfvG9lwabsJWuS0qtda3bPsYlQRrnybukwDFajPPyfLbg2+1m8N+J/mwR2rDAdkfmRNWEDLUu6iOAbBrPXoPjEdmbgLiE0WkprsMQkVgwtlhq+TDdsmHnbJ5jYqSr1ltFU191Vhv7NhklRnjNBn/nAEBIZIhk4Q62c9MXdhBgLL9rYPC2rnnOu0s2gwu9Ng8EOx4t/MoSmTsQ8Z4+j9FwZGQkemG260qPPblK2dOggTaWmK9Ee/44Ygs7cmTJ2PWrFno168fXIbTDF599VXcfvvt3UnfDwaZuYloKlfdz6wbSe+ARvCsRCvT9JOEw4x7nXXJsesnWSFpFHN27Fm1xsz5mu9RVtMO2+zxiOZu1v/aD3kz0ydLHao06yW3aqzmGrbmt1JqwRjDedVGOlVKa2yP4mQVHhUiYyfpYaMLNmOadmW0r7F14RbMjsviug/VfNcaFh2a+8dhOYhBnC18ypy3tS3NyqD5qy6ozBYWW4roY8IO9n3HQ2Htxq5kQedl9bI6jaOPLePNdyJkNFYFkZKh7HX31JvOS+fSxtLRHDkFrS4yPtnxpnuFeFYuL806w7n09tMiVtTIAWw3LW61gzHtrZE4Z8ZlwgXVwLCWulEOokO0E372baOu7ud53RrkIBoQNPQre8+GAIKnIQBAgEu3MriopQCGQu/X0a4CPlHostB+6aWXUFpaij179mDPnj3Mt5aWlu6i6weH9hZ20MeySEP5ZgY7CHbIbTAyELMT1F4od64VK+cfy5bh0kYStkjeGFKwwt61FztY7Zx931lNWm08VmCEiLAh7AFbNjI9GVPV60etb9WGIljnG42xZQMNHSTZsrd6A7MmQxz7kuqCyAXzQiFdTKprG8wC21xG41vWy6GGZF2bdpSprkujkGJbUZ337Lxn6fO0ZgXOPmY7haN+59Fbu9cH7WQR0tvX6qplFVuWLlYV0cdl9DlenQrl936TlRirByI2ga33AnMbG3mI1YZX3vD2e5vrxPzNxdnhYI7L9y4Y6WHXMuiKeGe9iJCY4kav3J533kiXhfZpp52Gjz/+mPvtiiuuOGqCfohoaw2hzbKHujPwOh1ZBk6jwcpWmSF7F1S0zhtdzFXIAfgEyRSStP3h/Dlyfl5q/LApDt9S5lusXQHfa0Hwk8TkUBN1Hzkb28hIdMuYdekBgvadmNjWPA7Ifo3x7JTbmDSM4Tcz0x3WvafmhXisIDae8hY7BCjWjpF2IwM3hnNFjt40Uu7hCkjj7m+1doys17jYrHOK2Xl6lk5WjWW9MtZRpEC1iI0u2JBfMpWcL7D1spu9WWz/4Ak9VtgrYdZpx9ZGT8+K2NvZPNJ4yhsAeCkUuSSIrVu1nlQvBa/f85QTfeyYx3s03mClXfnLF/jRlSIl3/TsOO559CcaXbb97QQ2wL+ww0HnCPjshFxn6Cy8lZEqc7y8+UV9KLGWlz0kklHHLCbRB6g9LUYBoc+3qQwhjDDstpvp6fAGcXRaBe1fLOkq4dpJwvbIYRXW9OxccfrZ2DpdVqtIfbKjFSC0aMqPcfGgvWVhpEEvk5F5kqn+BfhJRohZK2EMQzDXi5Hu/ZFDVOxd93Yw25X6O9ae0xm7AJk54jZ6a+vCwviPB7V+jGNBsCk3oLf7kZXXnK+an7rgT44oOPxtYEbl0E/sVi5W0EWvHfPeeyOdxjJbrWpePyB8J3Voh/XofIS3vkSdWuhsHOrpGN+xBztFuxaYLZcU5di1aOPYdURHjx17HJHD/ttvv8W8efNw+eWXAwBeeOEFZ4/2UYB/XnLnUDsna5mYGbM5vPLL3taMJV8jY1WhD7Y2ZkCRaYCxSgMb33RRhI3wZ8tiTN+u3DzajQoNnwH4SL8ghcew+GWwA995aKRZp0dJp8OwgCdIbB3a56LEdWnzr2q9GmlVcgmQhOXhZrTIIUN52HLZ9ScjreyzGQSjhWxOw1p+O6tKt+zt8hLA9qHO68nYh/SUdcXT3rKz5s/LixVcPAVCMLQPb9ucte6NNAiW9KJfaKPHFyCD7W+ytt/fXjExl1959lAYe7XtaLqz30hFO0kIk71BYBTyZGgXowrxneyN1JVsKbcxHSOFALDUsAjXji+alTUBhKTUnim1uyy058+fj1mzZqGpqQk7duwAAIwYMQL33HPPMb9/+vsGIsLmz2ux9J/lsArdzmEUbuY9mma3kNXNbE7L3rqIUgLtr5Hh7pPU+6tJszrNDItlZnxhx7d09L/WgWY8pKNzxmWkXU9VL9M2ycvkZxQuOg2x5GdPRzSvhmx4pTPSaGqBUaGxMi9z3l7T9jtjGmw6ZKoHlfbOLGxF0dAVDp7wN+57J+aLkVYA2GS55c3Y/6JbwOb8zcqbOV0vsfuYeWsPrAodv1/ZKxCx9VG+gLLWj34oir0FalQK1XjGW9X0Z6PSwrYNr44rmKthrX2jXLZe6GPnyVDjhYkMK9kJh+Ugt52jKewAIhfUGBX1aMqc/n3AiDTbcCcSXRbaf/zjH7Fp0yZ8/PHH2r3aM2bMwBdffIG//vWv3U7g9xk7VzRg90r1XuYYb5KPwNjxWA2dHZjRhTVrtQqG/8cu9Mx02VtLnVk+AFBjmDeMJhAIVqarulEZwSMYc1WsvtjcpVb6otVMtDT5sTpjynbMhZ3a6DyOXRqdMa9oQtlIg52bUl/gFrTxmCjxO7tiwyww1HPbydJW1nSs3iS2rq2eEmt+0S1u9dnc581KDkuJ2g/tBQ1f0Ntb3WblozPBZM6DV3NK20raYkVrGcz5xaK48hRL5b15Wq2BQuAph8a4uneIn4/qRWANiM5pFQRgwPCeKbS7bP+7XC4MGTIEAJhJ+pSUFMhy1wTPDxlSSMbOFfWRJ7UDqhcxwPCeXQFrhHVgq92Xz8h015MIGDb7qOkY89AvtRChr3XWc2VpJMN78yIScCiHKY49jHXCKhd8y0pXWEjPRqPDzKDMtMMUjkeftSTqJQW8dPQ6FZj30N6yh8uwv8z56uXQW4OgLt/iC2x+vmrNmhURviJgpJW19Vl3pv7GnE604zr1NKzWo7nN7PqWYOqD1hIY0zXWtbnWzHVmTskqnPVRYqbVXKt6Kc052NU7S5fZfcy+hyU82+95MCsx1nHMfmP7nvrXWBc8TmWmVYBe8zJ4rWCmz1qnRnpV2qz58caEOU0eXC5AdHXOn04Eumxpe71e1NTUWN5v3boVXq+3W4j6IaC+og3hgD7n2BY5VlDdC6qc7Ws8GEFxgSvvog1C2TCI2L86ZNOAYxkRKxCNi3T4DIBVHnQmZFYYrPnYlYGNZzwAJZb4ZtrspxysjInvmTBr9cZnvriz0qoyLLKEiWYp8CwStlz2Z37bWV5q3LCJNnMePPDqUm9bvgUTAOHbsM8kHIwU2lv07G9dQPHq0UyTsQ14FjXPmjXH09+a284YRxfYVrrV/JW/vLUFegy7emcFcyxjSfVgWF34doimRKuz5+oTu+bBnI5eFvt6MPdjY9oqAjF4I/hC2TrWjHHM5WDrKMJro98+e0LRZUv7tttuQ0lJCX7yk5+gqqoKDz30EHbt2oWPPvoIL7300rGg8XuJcIg9IpK3wFHv/FbrJrrVraZrtbKi6Y5Wm5BNx/heX7pDprjWQWRkekZLjbjfrWeW69uAuqb5GhUTc3ydGRg1dWudWlmZdV7QWAI9bZYGwI718MBaKwL4AoYNz68bq/dGR5PlXvJojLtzi01NwxxKORqU14Lm+rba7Pw8jPSY31rTNH4ztlm0eLF8s3qx1N/mkuhh9PTUHmP0JZBtP+KnZTfWrGF4Y8AePKVF7UvG8csTmFbVjKWnc6i07pE6GEUlWgvxFUkrAhRtZ4oeNym550rtLgvta6+9Frm5uXj88cfR1NSEZ599FqNHj8aHH36IM88881jQ+L1Eeu8EjkbPgs/EjKzcLGBZ2HVNfQBEY3pmwWGlwzoo7TRrPV0+EzVa/jITy84CjQa+YLAKbKNQ1m/hjUVo6TVgdPSx7RU9Lb0VjKzeSK9SF3pIVvwbFR+dfjtrn39SVa1hu57IaU9zWkbGzypeeons4gJ6fZnLYlZK1TjWfhCtvxp7qzFNo4LJo9VOWetskV002Lmr7eiP5trt3EaOli7AKp/mNuB5lozKtT5KeOs8jLRavQV6fp2NBWOaxKkRXm+zi28MZTVcCAI+D7XY0qPWR0JKzzsJTUWXhfaWLVswaNAgZ4vXUSKlV7yBEdlbB6y1R6YwsXdmeyFiHNxmAWKfDs/6NNrcfAvTLFT4YOeC9bBmJYWfJo+Js7TzoE45sCzDXN/G/MwKiV6H1tg8Slm7x7i4yt5uNuerpmBmvPy6M1tyfAqj16vOwnW2Hqt1zrc0WSbLF17sGLCWQn0mTumtCoD+zvpbzcV8uKtZAWjmrLw30syWOPpYNbqblZAy2H5mLJldmczz3WalEJFyGefVjWmo/Z41JKwKDE85ZH8b21M0/O5cDWL7mPV97MKfpYev0NrRI0JGfGLPtbS7rE6UlpbimWeeORa0/KAQDlqveBRgXEHJF3tGxOLyVr8bxQhx3guGdzwxa9ai9fytcXkCT8+LT19XYS4TW3c8sIxHp5lfBtaiNAtvXnvoc/9GGnXGaRdPT9dIU6zOTLYP6HXBt/TsBIfOqNk+Qbbh2foyh4peXnOf44UXTPXJUxLZnNn6sjqojWU0trkej217tkTmdPjtoqerCkX92U51taZhDs8KLfaZ19bmvM15Kt+tF4/YK1jgvOd/N9Jp10bWcCytdumy8aIZKmz7smXT47GHTLF1kd4nMUr6JxZdFtqnnXYaXnzxxWNBS0z48MMPMWHCBEyfPh1lZWXYvn171PArVqzAlClTUFZWhilTpmD58uXM93fffRdnnXUWZs2ahYkTJ+Liiy9GeXn5sSwCACAu0QVXnHqQgz6IFJgZGABTB9e/8Rir2mlZZmjXefnMywhzHB5TNucRjTXp8e0WofCZES+OvuDGnAYPZuHImy82C1s+U+SlbSwfoDMMq4JkZ1Ga0zJag2we/PyjKUZ2dcMqMMZ6IW4cfruw6fCuf7RLo6u2U/S6t8vDWB6eMGPLrk/ZqOoqbwwZ+xO//eyFtXXs6GHs6tysoHXe11lEG+PR0jGmZ+Qr0ctnZ48rdcbuz7dOm5kpZPujVeHjw6y4WWkkZvGvet5F4fhs2zRPNLostEePHo3q6mrutwsuuOCoCYqGNWvWYO7cuXjzzTexfPly3HDDDZgzZ47tqvXKykr86Ec/wuOPP46vv/4af/jDH3DeeeehsrJSC3P11VfjzjvvxJIlS/Dtt98iLS0NZ599Nvx+PzfN7oLoEtBvWHrkyTzgrQ4i5b3doLVqw1amwTId9gIH3kAwpqEqFWbtmA3Dy8/8Tj/m07ySNjoDUiFays0XLOb6iXYxh70iw4edgCCAQwuvnqzKgNUqt9LZeR3xwlrTMypzomGFrlUwqEqlHQ3Ga2PVb+YLSIx5Gt/bP7PKAy9Pc3+3qxez8tS5x8dsnRn7vjW/aH2XVdjMcY3eDNFUXmuZrQoDT5Fk//J4AquARAO/7nXa1OtK7eqS12f4iqDZu2N8r+Yhc8avtT1ZfsW+Y6HzDbOiChDcggS/J8iN2RPQZaGdlpaGadOm4YYbbsADDzyAhx9+WPu3bdu2Y0Gjhj/84Q8499xzMXz4cACKwA2Hw3jttde44Z955hmMGDECM2bMAACUlZVh+PDhePbZZ7UwF154Ic466ywAgCiKuOWWW7Bnz57jcjd40aQj1+b4g9bK/HjMyjww1LBmIajay1a3L8tErEzaSk90d52Z0bPaPC9fHsPku9v4zCMW6OUza/jGujIilvSN5eJvaeFbxUbFg6dw8JU5XXAQ82w99cqYhn2ZzGkZw1mFG8C2uTENK01s2cx2Gs+isiqbVis4msVvbi+eQOS5q43lEpg4el/hKd7sWGGP8+1s5by179tZ5dHKYVUW+cJQj2NVjHl8RI1nFspWTwSfdrYNVZ5gVGr47WD2oBBDr9krwPJEY3yGDiKseWsfpFDPPHeky0L7pZdeQmFhIcrLy7Fs2TIsXbpU+3esr+ZcsmQJJk6cqD2Loojx48dj8eLF3PCLFy9mwgPAxIkTmfDvvfce8z0xUZnLCAaPvaZV+10zrFYHwOvg0U5MYzVMe4Fh/hJNG2WPBO0M/DBWK4MXhldW3jyblTGwighf+FiVFSujt6fPyiBYN6kSxqy8WJ95lhTfajIzVDPDY/O1MlXB9M+ufEpc9b9oFgn/2Sp49Zu87KG7Rfk08fIy16u1XAS2bruilPHzNtJrBG+7kFVJML/X24qNwwoPXnvZKUfsb0GrV9kSnq1vuxYyelvMij9/ZTsLo4JCzD87j5z6WzDEMpeLLYsxppqm2dNjdHHD9M3cHnb9RKE7HJSw62vreSQ9ASfN1ZyNjY1obW1F3759mfd9+/bF2rVruXHKy8tx6aWXWsJHm7NetWoV+vfvj1NPPfXoiY4CKSSjYm09rIPMbGvIpvf6V+Wd1ZI0p6O/i00A6/Soq1jVQSIYctfXWRvf6ZYH/+pJdoMNf9DwmJR19Wws6gQbR6dGt4TUZ2Lojn5CkzVdMsRjy8UqCuwmMV65+PTrdcLWqtFS1MMZQ7NpAWzNGfM2WodmBmlMlV+f/HrhC0Zr+5tZc2e08JQuK6PWPUZ6HOuYYPceW6HTYlxRLnDLarflj7Wh9T6nl0bvG2b62HTY0QgmlrkvG99FG2vmdMxlt6MNWs1ZL4Sx5saOKpZ3GScE+d44M/R76gnqWn+zBWqvDFt5oTUsYf+awxg5q3+Pu56zy0L7/ffft7wLh8P44osv8Prrr3cLUTy0tyvXACYksJeSJyQkaN94cboSPhAI4Mknn8QzzzyDuLg4W1oCgQACgYD27PF4bMPaoa0pAFlWTjiTYRzc7EDndRerYCfTe+KG0uObhwd/SBoHs1lYG/O2O2iVFUoEIQpNfLAat91cnFnIW9mzynwQJRWzMLS2icCUxhxHfzamo5faanmZ8zaXRo0nMl+t5VPfGQWGLvLMbJ9X8+b65QlLFsYymynuTDGz1qMxTzMzJU5MNj+dHlYRs9LP1oqaI08o2ZUglvesMsivb14ZzGPDOE1lFWb2Kqt5NOrpWBUANp7xS7RpBWN8vsLG0hhdqYtljt3czsa6YI9ZVt+blRfjjhD7/CQDhVJQQnNVG7IGpcZA3/FDl93j55xzjuWdJElYuHAhLr744m4hiofk5GQAYISl+qx+48XpSvgbb7wRl1xySafleOyxx5CRkaH9y8vLi7UYOgx917y4ij93q37Tf6thrVqk+ZlNWw/DuvP42rGejv02JLMrmBVeAnfu1kq38Vt0QWEMZ/xrVWJYd2V07Vow/ea5Oo3lNGvsfMWHrTNzm9rlyXOd88thZozmvMw02gkMY5/Q8zHTx6or0ZQPliYjjG5kY17GfMzTJsb0zGF4ShMvjlmgs2Wz7yf8cpDpnzEte/BOETP+NdeHtY6Ncezz4k2nmfu4+RsvfbPgh6XOzeF5tBh/8/s+jyY2DeNUQDTFjvc++tSJMV/z3dsttXwD70SiW459SUhIwPPPP39M57Szs7ORkZGB2tpa5n1tbS2Kioq4cYqKimIOf/fdd8PtduPRRx/tlJZ77rkHra2t2r+qqqoulERBSmY8V8Ap4M3pRIMdg2MZgr5a2zwQ+cyms2czc7GGMwseljGbYZyrNsYTuPmY59/MTB9MOHtFxlweu3g8IWonDKMxb+uCMqvgslNadEeuvVBn0+IJIP5vNQ/FEhE57aD+Fix1b4ytpGvtW8S8N/d1AeZLRTqzvjq3zqxCXc/PGEZva/5WNV58hV6eQLXSwE/L+t64itxIvzmd6EoKSyMbzqpk8Gnm9yrrjW6sEtU5eAaCPQ/U33Vu9RvDsjQbvU5dU7AAwFvX84R2TO7x1157TVuhvWnTJsycOdMSprm52eKK7m7MnDkT69at056JCBs2bMB9993HDT9r1iysXLmSebdu3TrMnj2befeHP/wBFRUV+Pe//w1BELB+/XoAwPjx47npJiQkHHVZXXHKiTtsh1KeeAJYCauH1sPYz22r75WwZs072kAxu5DIEtIY19564AlHvZzqL2NK/Cdz3iwzM85Hq7SbKWaZhDF9szPX7OYnpt7NNBjtTl4Y67MdHawlaw5trDc9tDUNPl1mKuzotG8rI9Reau0NMkOVCKvb2Zy+uczGPmvtKVZ6eFM9/LLw82PLpQtLtmZ5406n175trL3PnJ91/YSZRvZ0clZpNY49Xj0bV1mYFQKz+sLG0//y7kGLJU9zD1Rj8MpqbWN+C/L6Ib+/8/KwphVdZAsA4hO7PIN8zBETRQUFBSgrKwMA7N+/X/utQhRF9O7d+5i6xwHFGp49ezZ2796NYcOG4c0334TL5cK8efMAANdddx3C4TDeeOMNAMAvf/lL/OMf/8CyZctw+umnY/ny5dixYwfeffddLc0XXngBb7zxBl5++WVtm9fChQtRUFBgK7S7C/HJIkLtEowDkG+BKuAJHva3VejwrCU23c41eFax0IeBOW0z+9TBDkTWBawzFetAtbrn+eWILgzNabGsla8amPNVLjPlC0G78qq08Vgcy2j4ItA4NylYwlotCusCJB5FViFv/Mun0doHzS53Nn0B5isX+WKLB6t1ae5fxrDm350pkXYw16gxHd40iTWuNX9rv+SJ+Oj9z6yg8CjgqcB6Grx25QksdYyqi8o6bzmzatK514Gly66+jXSaw+i08pRaYzzBFIfNh20JeyRlHltD9EgQk9AuKyvTBHV6ejruuOOOY0qUHSZNmoTXXnsNV155JZKSkiCKIhYtWoS0NOWycr/fj1BIvwQhPz8fCxcuxF133YX4+HgEAgF88sknyM/PB6BcM3rzzTdDlmVMmzaNyeuVV1455uXJ7JeCw/s8Np2dNwiJ8559ZgeQXbjov3WWq77Tf/PFgs6GWIqtQs448IyMSx1i9sIw9oFmja8IOtay0YUqLzf1m9FW0V3TfBpZZqS2lblU1vDsOdfWduPXmVnpst4tFZ15dWbHGMMZ64tHo7m/md3cdqeY2QsPK218ZZTNwy4vthZ4Qs5OGOrhrfTx6pdfJjMtvL7HF0/RaLL+Ne72MPYHu/6nrr1Wl3KZp4METrmNCiZfidb3SESDVVHtbL65a++iKRt2/M+axoBTMm3TOVEQiHiXQsYOWZaxefNm5OfnIysrq7voOqng8XiQkZGB1tZWpKendx4hgu8+P4B9K2sgAlgYaou8jT6AjVaNnahUwApMox1gHHJm97Jux/HYI5mGK0uJlYmRJaYeWhdtfCvHmr4dyzaWl1cfbJ2x9FpjG5+sbM8qOnhlt1unay+QiaGOZermkhmfWZjTNltL5jRYsK5ae4XPutmIjWMtv5G+6DRb31npNypSnafL1hbbEsbSRisPq1xac+X1Dms7m2MbPVf8PhNdoJjLym9tO0QXvHxOEz1/WEKbJzr0eHZ1x0vdPPZ5/Mncfvb80Tp2zWU4Ny4lko+E8x6cjK7gSGVBV9DlhWhPP/00hg0bhlWrViEcDmPGjBkYP348Bg4ciM8+++xY0Pi9ha+uHcbFV9buo4KYv9G1Sn4YdRCx79WwRquQTUP/Zo2rftcHqPGrmV3oedixEh5t1nzM33kaeiz1YWULPLqsi9iMbWWefzSWkaXHuIgsWn1a6ed9Z5+Nfcectr5ojC2LYIonwHz0pJFuto/w+qNeD9b6Zr/bveO1kzk8GehkF0GZ/1nziQZ+v+SXmR/fuoBSr3c2HK+v8VRGa9+yc9Pz6tbuN68v88Fra2Nf4rcrGcJaxyhbTmO/4vMre9r4fY5XL9ayGPuSnUtfhGT77USjy7Ps7777Lj7++GMMHz4cb7/9NjZt2oRt27YhHA7j5z//OXdLmAMrQv4wGva1RBiQVRPUB7D6rM4RWu0Ro1ZrFrpG8Jm+UUvn2wk8jd0ubfbIFaMGrj+zv61l4dtbVjvEqm8bf9vvkbWbOuAxU17Z2Xw6p11P136mkD24g1V6zDSwbWyuY7NVw1o2PGbIZ/I8BYbXD/Q8owsAtr35aRhzMfqBrJRbXZzWNK0eF3NZyFR/1joyKmdkeqf8tvYjY17R1jTwfnf+jdevows9/jeeosurLzP11rwU97p1Qaj+25xetLa00s22NL+t1dbjtYfe1vz0hQj1KlyQtPaWJBkuV8+6W7vLQjsxMVE7+/tf//oXrrnmGowaNQqA9eATB/YIdSgL0MxgtTvrIQL6kwqjsO3sO8uWzG/54c10mbs+G97K5HjMwQyWYVup4zFZ5ZsIXa1h6eEx9ugHK5jjR6fdWqcsU+LVozpzaKSXl5NqBRhDm2lSv1qVGd5kgDVHc1n5ZWdTsVsPEA26lcNfbGfMV7eYBBjXVVj7KFtO4ztjnzWmYIWet7G++GOIFcWsImQtp7WnsOqatS3N6VpT4ik+0VRpniDktRdvWaN9j4n2ne31dv3f2m7WtM29ll3UaJ5YYPPntQOfpxip4Ck5AgBPdRsy89L41XCC0GWh7fF44PP5UF1djS+++AIrVqzQvh3rm7G+T4hPcZs6Fe+UKBVmNm9lygKMXZJMofR4Vq3Tqo3yXNt8BmUeeFY6rUPTmocunHjCntXU+Zq2HTuCKYY5fWMdGmnlCTNzaVn3pXmTEJ8Go8A10mAtpzlfq+VtzIWvCFkZUvSzp4y02gkkwNjPjG+tipe1l/CVHqNCRgzdVsZrZNNWAaBaTdHz5K9V4JWHLyR56hav3e3r0Vgeu2f9HUuRtQ35ZTXnx1PFzf3WXCfmbwKnXGwYa9tY6dRpM28OEyx06IvaeHWvxGPj8JcYsvTZ7UOx4iiXfB0TdFloX3XVVejfv782nz1x4kRs374dv//974/sZLAfKNzxLiT1SkBHSwD62b16x1XA71x8pm2Ma01HjcdLi/edN4iNYXnU8XVYNi5v8MOUTjT7gMcwjb/5Qt9+VTrPZmBXjVvp4SkJ5vhK2jxBbI4XfbmPUYDZpRILfWwdG2veKlrM5bYKNj4zthMqZrrY/muvfIhMO/BVWqsSysvLnD5PaTUrRVZ67MYPWX6zvcpOEJnptMtDh/047iyuThFPITUrJ9b0+PzArn7YNHnCW68n64JJPh2sWhWbyDXSafXzmPkjmGfla1of/umZJxJdFtq33347Tj31VBw6dEibv3a73TjrrLMs26YcREdCqhsdLX4TI7QOKqvwtbJRnjaswuxCthMQKqxCumuDXGdMVvErMPlHo4KNx6OBv1rdWHp77VwNZ08DwZqemWnwvungMTHWemLr0RreGMY8cWL8ywvPz1unWm0ffkvx+yFPndLrgN0SxzqqzWno/YBlqNG24Nm9Nb8TmfblheQrADrMtBv7m/UdOCW1a2MY6p2lx07RVb/zxA5Ls10ftGth/gJO69ZBvS7txglfRRIsdWSuD2tYc5rR82Qp7Ow3m7++PY7lScqctgwBcSkJiDtZD1cxY+LEicyVl8OHD9fmuR3EBr8nAM9BD4RIt2TZv50w0mHUVq0dU02DJ1itDkU1DZ6tYWSs5jys4DFCM2M3p2G1U3ipWq0Xq4VmFkb8VK31o08LGAex7tLWWYldua308Z9Zwa0qLrx670r9WOngKxrGJyMdvLzU93bzqqKhfszpWXPmM2RAVxus/ZsnNnThRaawZHnLxtTLYydi7JRRNQ4rYIiJw7YRX1BY68aoAhifeZTzvvP6BFufvHqHJY61Lcyj3bpWwn6s67+N45H1rJjjml3c5rLaTduZy2Usi11tGctn7+FzgUDBIGRJhtjDFqL1LGp+QGiu9EQGq3IHLqAPXgV6Jzdui9CZrHXOko3PwsiczflYOy4xYfR3+nv+PzNNZMkXNmlFE0j8NFn69TDEDWOuM2u69vkan800W+ucoF4baA3DE5zm+uO1kZ4ODGHZcGT5DdjVB0z1wOtf+jde+Vi6zenx6pTfz4zl4c9bmsttZeh6GXjx7BiztYx8oc9XRGIto7U9zHnb9QddwLJtyR+71jFETBhzH7GWg983YQprVGqNdPHStcZhaeP1G2u+dnxOHdPG8KzyacdfeO3G8gilh8khGR3NAUvoEw1HaJ8gkMwfJHaaoF1Hi7aX1DoIjOEIZiErMGmy6QmGeLy8eOALIOtgM4YxKwDWwW/WwK0auZ6v+a8eJhqDM9PVWfnM9BtjWYWj/TM/jh1j421RY8PYM3Qj1H5gVwc8BsiH3TerMhKNFmtc/YQ1YxoyBNN7+798mlia7YR/Z1Botl4eYt+ndBqsz/o74zoX43ejgsWWwU4w2+VnpdX82/zOyhv4fcU+DVbgW9Pg913rdz0tJT0xYvyY09bD8vKKxouUtHyH2yzfTzQcoX2C0GtgGniWmrUzm3/bWYysQOYxMD7ztqbZmTCwDvLOmCTPW2Cm2ZyWdVCZ49opAub6sDI4I3MxW2TRysKWlVfvfMZtpN+qZNjnabYGo7UtWxZ+ndr1CR7MDI1Xbv53O8XMnD5bHn6/jCbwVGHJ5m9VzuwVW7t8rd+iKXp8AWYtC9tH7McKv0/ylQyeIOXXKe+bOV2+wmb8zTce2Gde/9B5S2e0RhsLfJp5dWPmlzodsfZPE+E9CN0qtBsbG7szue81krOTOB1L73wqk+YJStY6BvPebDnz+lw0q4mv4VrdtvaDlzdQ7MGbu+S5ZHkC0PzXajXx87LT7I1aul3bgPnOPrOMiUy/2frT82bzZAUNX3Ex58lTZswKAp+hmevB+o3/bK5rVqCbv1nD8j0adkzYToCZ49opmzqsdc0+88tvVYjM6RlpsYbtvK/y64U/Fu3GoN5frP3Bqrha/1nbiV9X7Du2DFaw+dqNAWjfo7W1fZnZ/LoS3g5qGHe8K4bQxxfdKrQvvfTS7kzue41wIAy9E8m2wtL4zk7QmuPxBGpnDMA+TXvt244JsO/4lkgsDNOctrG+eHSycfiMn41jhjkOfz7NSh/fOrC2Cc86ioWe2MLGwtCMDJRXFj1cNPp56fHz4vcHczjrsx1tVpjTsxeUPKvcTvBa6TIr1Hbjwz6etRwyt7zRxm+08tqVwxo+uqXJUzj44LUv+9x5PlY67dPQlQm7tRoszXbKZOyC21PtjSHk8UWXhfamTZtwxhlnIDMzEy6Xi/n39ddfHwsav5cI+kIwa8F8TVd/1n+b/9q5mNR0zWGixWXBH+Q8QWwWSHbpWgcgv4y83+b4gF36rFXArxs2fet7o6Axz/t2pgAYLYVoChkrmO0UDXMO9laRtWysUmFlgnZ/zeXjuefV73Z9iqWDZbgwhbd7ZsEycms8vnCzE9LRaLbSzQtn7b/RvrHpmvuI3Zy4lXb7+rHGt6PBXI9sPqLht31fNfc9azpWr5Md/XweZRx75naz9gMzneZy2tFpD5JiC3c80eUtX/PmzcPs2bPxq1/9CmlpaRCESJUQnbArO09GSCHJdCUjYGTQPO3deiBFtA5lZR7RQrPpA/zDDYn71vhbp94a15ofG4847420GcOwqRITxkqPOU8+LcY6sNP8Cbqma7ctxXrilvVUNvYtW04zbSzVRsrs28NYVrt07b6z9SQw+Zi/sdQYaeaX0b6c0U5iY3M39mdeWjzmHe2UP3P7m/+ydJrLFb1s/PLo+ZvTEGDtK3o7sb2fTd+OTmtYnvDj9U8zvVaa+GOGdyhTtBP9rO0gROrf2uPN9FjLb243Yz7RN23ykDW4VxdjHHt0WWinpaXhqaee4n57+umnj5qgHwrkoASQrCk9Kswdy/hsZpC8zhztgD6+pccPw0vfajFad+DapR1L3jwa7PO2PtuVmx+PLaFg+81OIPDpMgt4Ozp4DFhNP9r922ahwsvTjobO646n6MlgD03RaecJXh7NasrR6txaDqtXwFxj5vKbBYn5XGqVRuK+t6PFKtbNygrA1nW0eua3Optm5/VkrnldwJlVmuhTK3odmftUZ3Sbf0frZyyi8x21zVnFwaqoGNOzP9PePh97StivGQOOzfWaR4Muu8eLi4vR0NDA/bZhw4ajJuiHgriUOOUHkdZ7+B2W784zhzFq6ux7I4jzD5y4PAbMj2cVdubwsPlrXXRiHYxqmuayRLes7OlBJE07WOe+rNZRtDoy56WXk5+mlT6Rk48R5kU91u9s+vxV82Za7Oo3dtenNa41rWh0munhTWlE75PRlRBz3nzBaR4/5m/gfmOFrf34UsvFbzv+GOHXPQzpmOeV7deg8J/ZNO3ytN8VwY5la1idNvYv3+UdnW9EH7s8CIg25m3qlGSAlBMrBTG6CnIicESW9uTJkzFr1iz069cPLpe+uu7VV1/F7bff3p30fW+RnJ1scI9bmaRZkzb+FjgheC4hXjgr2Lytdr2u6bIaNZ8Zd/7O3j0cmwAwDyJ2QEdzw0ULy6PTPk0zbbzvdmFhChuLMqKHZq3paK0brQ/w+o75G3G+se/1J4Ui3QK01rMAMy0Cp8/aXXRpfGdl4FbazeC1O882ji4sop3YxR8j1rRYix+mOGyds21t7Uu8/mWsb6uLn61dc13wrdBowtq+nLy+y4e1le37Nlsrxv5mrQt+7RlpUfqkflCQijiEIQPIHtzbhuYTiy4L7ZdeegmlpaXYs2cP9uzZw3xraWnpLrp+ELAbjMZvZpiHAu+deRjYM0LzoZ9sTlbhyheZvHIY45qZEA92LNSeadszVParnVXFFxC8eOY6NVoSvLl2Xn68e72s9PG+xiLc+f2F31f0uVE7mqPVBS/3aEKMF98qANX3nY8BXRgJpnB26iaBRyHbT42qB19gRqdHiW3X/vxWjZ62XVqdPZsVCB6N1vFsvcLUXtTx64YHNl+jqskfp2bFgd8neUoBLO8EU5vqv9l+alcGF4CG7bXARSNtQpw4dFlon3baafj444+536644oqjJuiHAikQBmlanvlGLt6wV0Oqv/SwrAvUfKMV223t7AE9vJkGI4O0smuWDmuoaLSZKRFMMaMJP+M7ABGvhXWY89MwWxLW+UR2LtNsR5kFhh074l0owYtvnyZx0lHjCFoYnppjFCLWtM2/WZpZWqMJCrNw4btGzUKCV55YYKTHqlqYe6D12Uq/eQxZyw9OLP58OZum+sU8gx59fNvDru/zlDzze2Jq2jxPb+xn5nR549uYnlmBsvah/9/ed8dZVV37f/c5997pM8AwDL0JDL3P0GFEFCwoRozGBmiiviRqjCUa86wvP5NnLDEa81JeLM/EEmOJNaIioIkwWCiCgoACCgwwTJ/bzv79ce45Z9dz7+DAMHi+n8/MvXeXtddee+291i5nH+9T7uf8K4Ezq5u6HLneYrvK45hO2m6quIV4YwzhvIgmZfug1XvaOoMNAH/961+/FjPfJOxdt8cddNVXIDp/SBOu2sMS06no2JCf26VMuNqw62jxedPzRoRPOy87UPB1kMN19aLu3rBeDk7ZfulEY0O5vHIanXOjop9Z/fhyxXryYUQbz8pXLEf87tDSyUzFv5ofnf7oaaf7c/I7/8UweSblhfnxnEnfE9Pq6Knppu+jgEzHbwxQ0+L7Tzr+9fyK/VLHr12en37ryvIgn8ORjXj6x8zE8UvHh04uKr6AL975POP0RwqH9Javzz//HL/61a+wfv16EEIwcuRIXHPNNejXr19b83fMoml/k9K7FH1x/aMRqkcv1N/BpIcynUrh1Xk9Tj2IgwSVUui9Wq8+chovXP3GHj1FMb8nR5XnL9JU8aIqN9PHgtSy42coYnupwnT0+P1RXvoivzoe2VSijMTtAD6ODee3WggXk3md5DQsP7IBEKXIt62aX1U5Ypl8+bo25nnjdU421rLcRD3n3y7N02XronrcT+TPcrWM7Ucij2weVV9XpVOVp5avqE+iUfW0RK4P28bynF5XDx2f6eogggKo+6I2g5RHFq2eaS9btgxDhw7FypUr0bVrVxQXF2PFihUYNmxYcLlKK5DdORuiJygaS+e7582KaXQeKZuHcuEsTXV+GSrPXTy56oEyPOtp8rxQyTCLp54Jl14uU6Slqo84w2RnZ6qBm6XN8iR69oTjj5e5ipa4qqHiTccXn083c1CdWFfXiz3Fq84j09frqScXnTxVPOl1DhI9Xr/9yxHlJZdtZcSnnz7reGN/q9pV/C72azW/Mg8E6rqKUJej/4QiXNdWSJWrclDUYwefjv0U6yjqpwi1PHQyEMv0BwGFGT76Xs/R6pn2T3/6U7zwwgs48cQTufB//vOfuOGGG/Cvf/2rzZg7lpHfvQCE0JT+qHxGlf+oHqCd9HqlZDuGrPqykov8sDMo1eDj59Oy9NjfcjrVXhefW+XLp/OZHRr8O3YJxDmen/x1nVz28z1qmbSdXx2oMo3qhLbOeeI5cvLyKWUtk+eYbDhRykd8f7F+HqeTMfuNSGE6vWdpQuBBLFntfOjP3/O0Hfr+aUW+xFR+OqHXD6d2fnN4VbvJBlPVHhDC5PL59GL5Ol7UZcvaZ8d5vMp88eOaSjd1uiZ/J1I7+SOnJC9tmiONVrsRlFLJYAPASSedBEoz82C+Dp599llMnDgRM2bMwKxZs7Bhwwbf9CtXrsTkyZMxa9YsTJ48GStWrPjaNNsCjbvrAep44BbXwZzvOs+a/eQhdww5PXX/xE4te7NiGjmtF6/3mFVGTT2o6ePE2aW8b647F8Dnd/hiDYxKXqz8xbryYao9Yr+Zj6o8rz1UeuCl5dtXNftRtyHfPvL5BVU4K690bcrH+9db1mu1znnxct2o9Kl2CtVIP1Q7NOHKLr2MdfqrW8XQGzSRP7mubD6xbXkafnKWy1L3Y/63ygnQtYPcf0Q56VcnVDzzZajaUSUj/3HFHzlFWa3Oc7jR6pl2Y2Mj9u3bh65du3Lhe/fuRVNTU5sxpsKqVatw0UUXoaqqCmVlZXj00Ucxd+5cbNy4EQUFBVL6zz//HKeeeiqef/55VFZW4u2338Zpp52GtWvXuvvvraXZdvAOS7FnMb1Zgx1ne4c81J1b553K6XlfU+0p+w2cfDnsY2MU4mxO5pFI9L108qlccb7I7mypZESENGx95fL439QdoPVzKj+oZMkOIunNitzebC1Y6jqd8KefucEStY7dD9XTEPU3fTk63vx1TvxU9RueJ/WpfXUZVNIpldOpMxq6XsXT1M0ZdUZTbndxO0nuK5nz7NATT5J7PLCx8jW9Hk9+jzaqeWL7s05/nLJE2h4vmdWRh38fT/XZwz8PbTVaPdNetGgRJkyYgFtuuQWPPfYYHnvsMdx8880oLy/H4sWLDwOLHn75y1/ilFNOQVlZGQDgggsuQCKRwCOPPKJMf//992Po0KGorKwEAMyaNQtlZWX4zW9+c8g02wp5pfb7tFlV5L1V2aOWT2kCfCeXPV2RBqD3euVZLF+GfIJTnqmxv9n8qpmxOEDJvIqzRP0sjs2nciz8T7iqZlNiOjbcb0Yi8sSm0Z16VZWtk41cX39ZQqgbqwdsm4hykOmkO1HO5suEhto10umCKo2uH/iFsTxSpW54/UKUh4q2is/0p/5FeatmnP7L6Z4+6Rw5PdTjhO4ciUxbHCfsT/YlI2rnyU9H2by6tKr+revbbJ38+rKaB+czv3u+D6/tg1Yb7WuuuQY33XQTHnnkESxatAiLFi3Co48+ip/97Gf48Y9/fDh4dPHGG2+gvLzc/W0YBiZMmIClS5cq0y9dupRLDwDl5eVc+tbSbCsU9u2U+qbrQGDixTAvTtXBVAbJo6Ey7uJgoOJLtW/K55F5VtdNTSvdoTh+UJU7sLg0qKo7z5/suIj8y+XLAwbPm+o7P4DJRl522kQ+7IHJUBoGPxo6XnR1FGWSzmDqdFMvD9Gw++mjaMi8dOy8UqUDer1LbzhUfUHFg/ddd8iTrws0v1X8yXouy1PtAMp8yfH6ttLnFXVTV0+93D2o9Fbuv14+uY/66Z46jaqOYlncIVJi619R/85K6u2JQ3rk69JLL8Wll16KhoYGUEoP8zKyjf3796O2thbdu3fnwrt3747Vq1cr82zdulV6x3f37t2xdevWQ6YJANFoFNFo1P1dV1fXqroAALX4wxcqb5m4sUoKUggRYv3z65f9+DAKdgE/HS9ECPFbtvKW3VgKeg+frYs6jZdCX2e1TBxe+DpQLo9/PXgedHJIXwf1byefn3x5fihXV125fi+YEWmJ/HvfqZBeV46/VqoeLVPFsbGEkTdbLl+Cvhfo9Mvv0Scxj0hHpK0+UCnHe2GynPz0mc/B324m6xHLi78DQRVlp9NTUX76a4X1TqOXVjSquhZll+XTOf9i6VbqngwPIcRhUROUEBghU87czvha59nz8/M5g33ppZd+bYZ0cPbLs7L4gwFZWVnavfSmpibf9IdCEwDuvPNOFBUVuX99+vRpXWUA1H9eA/EAGqTvsofvzYR0B7DYMHl5GUx+77dqlsPSUvOm9vh1vOtosGl1KwZOnKp8nqacX8WvenYgLl+zcuJnFiIdfoYqPvbFl6GCmJ76hLN0eLmqBlc/PZDLUbcfWxZfhno2o2oDWVa8zGXjL8tY5I11YtR8OvyxMToZqOomp1f1R1kG4uyf12GxTjoZOOWp5czLij0wp15aZ3kR9Z2ly5cr9gfRPVV9d2h79RX1UdQB2TFWjzts32N/i3nk/iPCSScabIdHE0nkdj66bkJzkNFM+7nnnkOXLl0wc+ZMXHzxxdp0r776apsxJiI3NxcAuBmu89uJU+XxS38oNAHgxhtv5LYC6urqWm24m/bWw4D4mAwLtbKxg5J437PfbEN+SYJYhuo777HzvOp8fzuOSOWp6pdJOhVvqvTUJ14eEvT5/dKoKenj/erO5lCF8+2spuv3nactzvK8GZy/3qkGUzlcxwNJE68vkw9lDxwRoR7Od48j/aNfmeqYKHc/uTrcqOWom02nfyRQxStVSlTmSueg6Oir+ot6jGE//WbgbLifbMQXlnjfeP5VY5sqTic3FV86ng0CUEqRbIzaK6JH2Zu+Mppp33HHHfjd734HAHjllVdAKVX+HU4UFxejqKgIu3fv5sJ3796NgQMHKvMMHDjQN/2h0ATsmXhhYSH311pQi/c41bMTXrlUn37KJ4dTZV59fqqI1+1LsmWqD+LoaKkeKVLVnUj5dGloBnXTlSXLSPWdrYMYpirTo62WlepPpOdfZ31d1PyodUEsj49Xt6dKLunqJuoHH6bSf8+AqvRSPsjF86GSBVuv1vUz9ZaCrt1U8bp0et1RhfGyUpWVrj+JfRnMbxUtHQ2dzETe1P1Rrad+NHVOTiY86foLF0cAK5ZA3bb9So7bExnNtNesWeN+P+mkk/DnP/9ZmW7RokVtw5UGs2fPRlVVlfubUor3338fN910kzL9CSecgHfffZcLq6qqwpw5cw6ZZluhsF9nODMCx3NilUnn26uVPvN4XRpdvkxpqDqCHv77Tq2JyywNv7+ry9eaMlXxmeZxePErP11cJuWlS+8nj0zkki5fpvwfSp50dDIJz4S+KCNd2x264T30/H7hfmkOte+lC/fTnUxk6MWLjm368g91XNStGTo81n1+AEXHdVWkaD+0ek/79ttvl8JisRgeeugh3HPPPW3ClA433HADXn75ZXz66acAgMcffxymabrOwpIlS3DhhRe66a+66ips3LgRy5cvBwCsWLECGzduxBVXXJExzcOF3FJ7ds56ug4yMXpHM9SesQdDkZb9nclApMuvik/XcdX0MpNxa3hti3yHWobKkfHCW6tP6tP/fuV/XbS1vDKlp9obPlSnt62hLzPz9mwrvltLJ/P0re2Hrat7Oj5qt+7LmN6RQqtPjy9ZsgRvvvkmF0YIQX19Pc4++2wpri1RUVGBRx55BOeddx5ycnJgGAZee+019zBcS0sL4vG4m75fv3548cUXcd111yESiSAajeKll17iXmySjubhQv32/amZtnPykd1bYq8MYPfxPCWTf4t7UXBjPCp8XvYXgTcUe1zwL4Z04Az0fvzJJTm0vZRyR/M45HklzDfi1panrfOZeX7kvVGWunjimqXp5RHly9bHkxsrS7ZtVHFiHfi29KjKqbw0Hi3xKhG/yz3VPHr5WL1QL0l6V20QrjZqTtk253cz2bqoLuhhU7OSZnnhuYdAw0shy0m8UEWUH9t6Yu3SQayTqG9i7eDG8RJlOWBrxbYAT0HWJy8nVeT3JMDrsVq2fD+A9EuWDq/rLN9yG7Bjj8yrV1NPH3jdEmul/p4ONGmlTXOkQWgrN6Nnz56tNcyTJk3Ce++91yaMdSTU1dWhqKgItbW1Ge9v71qxGTuXfuL+fjqhSiV3CzkemjSyaVGZ9EzLU3fTdL/5sjMb5NLVWQ/dUOKfHvCXYyb5HRpUUUdx0BNdBtFApJeVaL5UvGdqUPTIVI7+6WQZOaFtyYufrrPOB8+FH9Tyk9tSnVc0In40M4N/Xp3uqfXJfyzwbyPRRTh0ntsChz5WePllnB32wotH9cCgs8ZlTPFQbEFrkdFM+9e//jV+/etfA9Af0qqtrcXEiRPblrtjGLGDzYLyqxTITyHVcawXL4YfGk3e+/VP7z//zawDH3onVPOYLr06TybDAV+fTHx3J43eiGQiKy+NnsOvP1im0y//dGo+DrVt0+Xz1/VM9U9cBfEvx0/2etnpwluna3b54kl6FX1V3VXrRSxdfz4ynaMeboMNfD2DnZ42BdB71uDDWMahISOjXVlZiU6dOoFSil/+8pe44YYbuHjDMFBSUoLZs2cfFiaPReR0td8eY4CCEnF+KC4yij4rldJ5/8WZgLyspn58xn9+x89ZIKSV+VMtJct10S1Tp4e/8eCvWnA4kdcERDmrwF7cIJatmtur28qTtBjHLvvBTas+nwwprVgmb3h4LtV6xM65xPqIlNJDtfR4KGs+cj1V6xoybX5xlefD44/XW15HWV1RyVpVFkuXlTbLL7/VJD+WppeXqo+wJYvjhV/9Wf6dHJm0rU4nW7cGwobJusbLTbVeoSpJ7j9y2bpxzS/crnNW8dH3lq+MjPaYMWMwZswYAPbjTt/5zncOK1PfBHQaUoodr9pvE/M/Lck+6iKbPT6EcmHirJsINNmBR+UIUCGPR4NNKw+SHm3+t8gbXz8PulmoWJYoK55z8btYjlhzdhBTtYe4xwihXoSThlc6P+yo2lplzsVdaV4q7L6ux5/OxLLtwRsDaOvDykfMyzp9qmGRb2N26OWNHBh6bD143lmORa3Q9Rt+X1eUFT8/9dpPlZ9td9kt4vVQfA5c3Q7yp/dd7Md8Pb18vDPA8s3Lm62/R4cHT5t3I9V9FfCkwvKv0hJ1z1DrIgtZpjx/bIiejvwqTnGcASzID5xRGLBADAJCdE5P+6HVp8edt2Tt3LnTDdu0aRMOHDjQpowd68guti+iZ9VFZbDBxamNlZiWTSM/A+6fjw8XDbkqvceTgczmZCp+VAOaWh76+qjz6NLIgzjvbMgOizoOTJwsm3QzEb/66NtA9TtT2VNOJ3QyS3dqWpahLq2sO3on1b+OxP3j9cCPhsinip66bJ4mm+5rXSPJtakY7n36y9efVxYeHX0euV1lGcvpZN7Y593lS2ccerp+5/He2m0fsd96UPVH8Q+pW9Es9y8Eyx7LLIpoTaOWl/ZCq/Xv1ltvxSmnnILXXnvNDduwYQMmTZqEd955p02ZO9YRyg4BoGDf/8YqPBsmIr3/R6XOgAx+ix0zU0dCzxeF/6DhbxxYXlTwd3r86WYiV76OagMq5/Hqq2pPFQ0/nuT0sjxVxjfTOYJq0PPfu7QUupXeYdDrnb9REZHpnrHe8fPPJ0PtjOnQFnMzcdbuz4/a+WAdHP+yMu9DcnnqcE9/0jko8nfV+JfeIc9Mfzx5ZFZG7ea9GdE9kmj1I1/Lli3Dhx9+yL1P+6yzzsKkSZNw4YUX4q233mpTBo9lZJfko3FHDbwVGH5pyVlcEgcJcbfHW84STyard1C9ktIvl3k0xAdAVIM6v7gmP4YmLqmKe8+eZ06Y//zyF1tLtjwW8usD+B12dv6reg0BzwPhKPFpxZMCHge8jJzUrBwdOnwur9VZHsH9Zjnll6G9b6JWsFLw5K+b2bGpweRhW9zjSqUXMs9ijcU8fP29GFGjHH50p7TFB7JE3lkafA7Vkr+oSWw5PCX1bNjjXtV+EOiL/ddL4f2WtUglc1EfVFqmdtf5nsXXi00v6rOoIXIbZn6inm8PNpwfDUT99bRHzJt+l18GRXR/Q8apjxRabbTz8vI4g+2gd+/eSCaTbcLUNwWhiAlH9eS9qfTeLB/mn0eeSanT+MV5nqhqxkS4dOynesjMpM78AC7S1XV2sQyxm8s8yC6Rni+qTKuaHVDut8qRUtNuzRaDbEj8y+N1IJNZp1oe6uFerJuqhURnU7UipKYt8qfnX6bD09CFq8rW9Qm1Huj4lh0iVdk8b2qdQwby8ytPpuGkV40PmdRLlZY34rq+rW8LzyTLTqlXhr791U6oDvyyvQHLWSBHMhrX5movtHp5vK6uDlu2bJHCP/vss0N6ReU3GfH6FltZfB+V9xTeU0S/B/75Tt8arzKzsMzzE/cvcyOko6szjrpyM6OdOY4ETT1dv318p/6Z6UQm4PXm0B2ITPIaaZ1NHe2vg8zkoa+Xf/iRAkHr9tf1KwX+4496HGmdTqnypBuf+DHP+fu6PPD57X1sfowlsN/yBVgI5R59b/pq9Uz7mmuuwfjx43HmmWdi0KBBAIAtW7bg+eefxwMPPNDmDB7LSNQ1S8ZIXLZylsxYePHsYpB+WYjNx4ewZYuLfV5+fslOfKyEX1YD2CU+j3u+dnwqJ69TBxWPEOrF0hTn+KrlQXA5Pe7FMsRUfE7Z9/coqU6j68PEWbiuZF7u/L1VNGWoxcFXvZnizcz42oBLq25PmVfCpWDLUT3joGt3fiWFlwC/+EokKuq8LFWvtjxFmSO+rcR8cq38F2lVPUmldeLWhYpfkbr4Te6ParpsiazGsXl5XWXz+ekM30aQ4sUtGl4H+Xo6uVXjFzt75tfHWC3lx0teU8Vw3eqkU0cTFrJLD+/NmIeCVhvtCy+8EKWlpfh//+//4aWXXgIAjBw5Ek8//TROPPHENmfwWIYVS4C4MyTbZ9YtNelnnGK4F8bnl+nx3SOT2ZyajgzZg+f55Q0D34X93BWelsr7J0wnVUPlxGQ225OX9FgeZbrsIMPWXxy2+bLFwVMsW/wuQ60D8iDtcaAqU2470VlR0RW3MvgaqLY2dO6KuOzKGyGV8YCQXs2H3Ib6PiObBpF/v37nlaNzIHVbJap+w5cn1oePS7dk7rdF49cPZF2V+WQf+ZTdaX3bs/vo6iV3lg/9Y298GOXiW9uHgOieo2/1uNVGG7Df9HXSSSe1NS/fOEQ65SBW08CtjqsHI7Hj6VRNN4zJ0HmXfunleZecL73hY2mwAyif0zvlmRlFr2x9LXR1JD5xfvkg8aifJch8+vPKp0sPnsf0esAPovyMRJ9HjNM5bCrO/U9c+0NldHXlZ0JL1UZq+Dms6Us/FP4yAW+oW1vKofLeur6tpuEHpx/q4lROrNMHxVU7KL/LNP1AASTqW9KkOvI4pEcOGxsb8ec//xn33nsvAGDlypWoqalpU8a+Ccjp2QmAal9KNTDx81HWEyXatPZ33khQKd5LR930as/bS+NXBmH+ZBoyCOc3O2E8H+lXEFje2PT6QZ6fHbJ1Us1IxAGcKuJV6UQexfbSD476Q0k64ym3D+H41M/KxPbS8yS3iT6OL4OnlU43HB1SxwHwiZfB88jLh0jhlAlXyUVuA11/4T9lnoiiLn4zR70hVM8cRQMml8cbPz1/Mu88P2qeeR3haan7uCq9aqyR+ygBr/Mif4fiNGaXHH3L46022hs2bMDAgQNx1VVX4aGHHgIAfPTRR5g8eTI++OCDNmfwWAVNWmjasjulSJak4PzhCH4A8QZiccbK/skdQjQYRCgLTJzaAIi0eIOg6hQiv6o/1gDyHY6lq3IGqLaeKucDAh2HP7HurPxE40wUZUJBT1VnMPR4A06FclSDq659ZfmrP0Uj5GcU/XjidU+O4/VCNEZynJxWdhr9DJqqb0ARJjsOcpuIZYsGT3RMdPrLt4/c5qJDK39X93Pe4SECz2JeMZ6VmSgHUa/EusvjAeXS8vLmZSuPa3J/UOubnx6onTZZL9lPPo3eRfXKKBreK02qI49WG+1rrrkG9957L+rq6tCrl12hH/zgB3jxxRelO8kD6NGwbS+saEwYhHQzqEyg8nj1XnSmUA1ghw9qr15Vp9bIjTco+nTqsvVp0+XRz07UacXBki9b1YZ+Mzh9vB/Ug73/7E4PvzbSpZWdNudTHJB1tPUrBl9Xh9X9KN2sU3SW9fz466Pznb95UCcvf7rpwmXn2eEhkz7TOjmrnWuRVmt0zaPLfqqcbz96ZlYI2V2PgZl2S0sLzjvvPADg7mUdPHgwYrFY23F2jCNe1wyAAtRv0JdnCH5QK6f4qTKA4ncvj8pL1xtMv0FALkM1awAXJ0N90EyciXjfdXLIBJkNRv7toxp0VfR0M2r/wUpdb4eejo9MwlVl6ZZKD4WWH3QDq8qhEA2mJzP9Sou+XHV/48tQOQ7irJLPq1od0PPgF6Yy1Dpn1K9Mf8PuJzcC2Wi0Th9UepmJkef5V/UreZzyo6NzhJmU0SgSx8Jz2rW1tUgk5Jc/Hzx4EHv27GkTpr4JIAQA5ZcoVcuWsnKKg6eztK5asqKKT37pSLc0B+GPCHyxnVhcCuSXAMUlKvXyFV9XdnDkeeDL5ssDlx+gUj623jyP4H6rnRx+CZAf4NVyUA3qfjNZf4cKUMtTlpFqYKJcflV78TrCL3XK7c63P1s/T16qZVOx3urlbdmIiHoqthvPk1hfjz/vU1zeZvPKfUFuL77N0zuhqvTiErPYHuo2V/Vh3nHgHVbZWc58+Vzdx0S94McfcTyS+4mfgyO2pVyOSMvhWdXX1Y6V/UeU8jOQtF8YAqBuw04cbWj16fE5c+bgxBNPxBVXXIH6+nosX74cmzZtwgMPPIAzzzzzcPB4TMLMjYAgpSpE7ljyAG6nzsSbdOlqQ/3oqDx3dRl679cLN4RUXj4ihDnfVU6Ejld1XrX3ruZPpq8acNXeuL6t+DgVP8SnLbzcuvr4OXX6315byLJh0/ttPYjydrhVtZsqv1oH/dqKL1tuCf+6qHgS5ZlO19PlF/ngDb4/n853lfOWrq+r6qjWVF1f8ms3nd6LrZCpHFX9VtZ19rvcTqJcvbz+Y4Sf7EV++HpYLUffTLvVRvvOO+/ETTfdhPPPPx/RaBSVlZXIzs7G1Vdfjdtvv/1w8HhMwgjZV5gCgPPMl93pVJdvAPLgqeuedkdQD3ByuvTINF0m6cVOyvKqNuT+dUhfdno5OLCkvJnAoa8rh6RixTinrVX0dBxnVhd1+7e+ZjJNjwedAchE51S09HKgPlRF2fN5WH6olCcTyEaXKL5nQofPxZqcdN9l6CVCFLJN73yL7/2W9YYP03Pmp9N+9XHSyBx7cV47irfDy2Xo6+ynTWpEunTQ92lzGUIh/PKXv8Stt97qXmc6ePBgZGdntzlzxzKySou4DiEvXbPdzhuGZBPAmnrVTMpTU3aQ5D1d/lN9wxdfukiLaqiA45+NUxlXKsTZ9RLrx3MsDlRiDRwaXjme2WFzwi2HvwPOoSS+1ES8GEX9KhSvfrJ5IVxqtjRxeOKHGvEXKzNWSvrBXRwexTmvyih5EhNnnSKvcktB4k9lWHkpOPT51vBalOWL136VkZFlxubmNVaewREhLTiueK7lGwr5UvkezdbGa0e5bfj6qJwH3pESe5FHn5Uh75SIGsPyIMtU7TLJfLH0WahGECdG7kVsvcQxjafpleW1hzzG8uZbYeZTE6n8QT3kuHbGIb8aNicnB6NGjcKoUaNcg3333Xe3GWPHOkK52Sldkfdh1J+qtE6Yk05egnL+2Ph05YlpiFAuvydF4dHmaRGGHp/XoanmRbVHx5Yj8sDvmao6s0OHzS+bKpFfwpXtlal+bzhV5FGnYSHLmv2UdYCNV/HGl0UVspT1RGxDWaZyeWId9Hyo6iPWid2zVS0DU81v/UxStV8ry1bsW2DqrtMPnoZu2Vyl+yrDJPKi1isq8CTqKL/VQAX+Rb2Xy3FMmKpvyPyJMhL7HRHSqSHWX82XqEts/XV9nO8j4thkx/Bjmq4vWzBCX+/t6YcDh3Qj2ttvv40PP/wQdXV1oMx1Xg8//DCuueaaNmPuWAYx+Pu5tencz0wWu0R4dMW9ZV/e3LSqHCpP3Osg8hzTj75IT+Whg4v3Zi/qtHramfDCgh1E5VmEOp+OLzHcvyX8NYJPx6ZPZ8AyhU6G/ulUUBtFL2/r+NLTVv2Ww9iZLBvmfWdzpaenQjodbi09HhbY1QhdKQbDgzh+qNpMdASpEEfd72qZsHNmMU5VBhW+6/RIdJp08U5s5mMc62BQ7u3wDgxigVCK2MFGRDodXUvkrTbaV155Jf7whz9g+PDhKCgo4B77OnjwYFvydkyDUgpCKefdunFQD5ziMhybjx9o5OVWz9iIL53gy5Dzyy9SkF+YoF+wT98pnS6vf2GD3xDoR1tnFHinxClD5Jkf+OSBhl0e5Wk59RHLEzc35Bml36DD03c4c2jyJcuSVw2qouTFl3zImwKqQVmWER/HL4SL7ezl4xeb1QvLfHt5FMTzCJYip8inKDc2TOwjcj1VOgE3lWqZW+63Hp10zqpa+ixVdX6dkWVlLPYxUR/sWH67Sx6fWLnqxxVdPXl3QtxMU/HJ05e3TxykG4MAx8nxWsFE0qZAgKZtexAZN1CTs33QaqP96quv4osvvkBJSYkUd/HFF7cJUyrEYjFcd911WLlyJQBg2rRp+NWvfoVIRP/qNEop7rjjDjz33HMIhUIYMmQIHnzwQRQVFQEADhw4gPvvvx9Lly5FKBTCwYMHsXDhQtxwww0IhQ5pESJjtOzY56qWN+jz8DtOpt4j1aXjv7MGLd2RNdHEOLx6RkOkzX6q3g5Ghe8OxFmRHOakEz1w2fjxXZc1Aryx4+n5rXzo24g3dHy4l1M0VCp++fSySdAP7eKMhvqE82Wx9GQeVdsDIu/8q0d4Sjp58WWLslVvccjtzvMtmiE+rdzefDurHChev2QXQp2Hr4OKJrvHLNPnnRsKud11DjVfJz/Zi99F8A6Nk9aA4w6pNVG9ksH3P9FAq9bl+L6q1j3C/Rfj9Gn9y+U/AcCIHF47cCho9YL9sGHDlAYbAO65556vzZAO1157LTZs2IBVq1Zh1apV2LhxI6677jrfPPfeey+eeuoprFy5EqtWrUIkEsFFF13kxr/88st4+umn8dJLL2HZsmV4+eWX8cADDxyRU/BN274C4Ne5Ab3BFqHbF9fDv4z0YapB3Y+2nD59HhX08xEW4qBvDzWGEK+jK/PC86vfC9MNgOqzBiK/Hm2+LYlPXOuhyk+F75nK2eHLrwxdWGs2e/ycO96Y6+Sanh8+3N850rd7Jnqs2/fny3f0xuvbOudGX44OKn3z4wmcDnp9WX/+gAh5eH7SOeti/kzq4c83y69+QiAjt5/a1rUnWm20L730UvzqV7/Cl19+ye1nA8C3vvWtNmOMxf79+/G73/0O11xzDUzThGmauPrqq/HQQw/hwIEDyjzJZBK/+MUv8IMf/AC5ubkAbMP/wgsvYP369QCA4uJiXHPNNe7Mu2fPnli4cCGeeOKJw1IPFi1f1QiDv0qx1QMbr3jyIJNegZ3OR5nvDj0xDxU+dU6Dqiz97MiPN10YO1iw8bqBwwF7cEy3L8fPLlXOhlyuR09df/+29Jv18Id8wH36DYAy/XSzP5kXGeowkcd0jgkf3pqBWHSS1O3g8KA6PCfzADc9XydVOpmWfPCR5V5uO3U/lfmReZZ1Rt2n1P1X1iMd/MoRVyn8nDT+gBebX6QhOkB8vMiL38qGSn5qGrKTp+0/lAIECOXnqOPbEa2e+8+fPx8A8JOf/KTNmdFh+fLliMfjKC8vd8PKy8sRj8exfPlyLFiwQMqzdu1aVFdXc3mGDRuGvLw8LF26FCNHjsTJJ58s5cvOzj4i17GGO+UDoCCEOPoBcVkKXJi3uOTAW0byBgSxG6v2wVmIAxhLjy3HS0sh0lYNnmJ6nn/1kRh2L41fgnRKED10fleZ58kJV8+K0u0RsjkJREqqwd6Tnn7pUeZJNYuSB2UCWe6sfDzafPs59FTmWt5vFffHVUvf6iVZUQd5yupdSY8H9nih7rEj/RKopxtqp4jVa0i5ZF1U7fLqZvOyrqlNuNi+ouT5WvBOkFqfZKPn10ZeTraP86dRWP0F813t5Kp6pGoc4DfSdG0o7urL+i3KhJelWBeeG3lcY/nn+xZbK2IlQS0KYqRzeY4sWm20x4wZg/vuu08Kp5Ti6quvbgueJGzduhWhUAhdu3Z1w0pKSmCaJrZu3arNAwDdu3d3wwghKC0t1eYBgH/96184++yzffmJRqOIRqPu77q61r8ovXBUf9T8ayNALWUnZqHei5KHQN2sQTezUJXnt+TmDeIq6Jc71ct76sEg/XeHplem/sy63jCr5CYOznys80s/W1XPdkS+VW2ppid+Nzj5U8UNZ+nrq9r1tcNV5eodMpE33iDKM0C1QeXL0MnPM4cqJyydHqnK0KeXDbJMR+0K6tL78SeaIF5eohugLtejycpJNENgQnWrTrL81d9VDqz+0Keqv+vbx/nV2r4hpxf3zlW8OfnZXfTUKgqhAAVoPAGSFfbh5cij1Ub7Zz/7GWbNmqWM+8UvfvG1GVKhqalJeeAsEomgqalJmwcAsrKyuPCsrCxtnjfffBNffPEFXn75ZV9+7rzzTtx2222ZsK6FmZ/NdUyxI/CepmpOJObhIc9cCJdfLEf0tEW6fCrVkCDOB3nfVjU7Y/OIdGTIZbIDcTqedIOO3od2Or13MlnMp5e9qi0zHXTlcD8u+XJls8k6JB4fFE79ZGOomnVkWgcVTxBKULUDO/DKcz/dzE6sKU9P1pVM+c6kncVwtR6rnrZgwRsf/ow2L/PMoD9jQoWyZKr+4wmf15vXGinahlRHWRoqp1905tQH2dT8qhxqef1IpYMiBdb5d06T25HxmgZkde+Mowmt3tM+66yztHHOXnGmuPXWW0EI8f2rqqpCbm6ucsk6Fou5+9UinHB2Ruz8VuXZtWsXLr/8cjz//PPuHrcON954I2pra92/HTt2ZFplFwbjvan2aAlkheYHVnZ2xX/XLbnyBzH4csSZCB8n86eb1fGDBntYxevsovcr1lUsU5YFC11d2TJVS5o8n1DKRt631PHphXmDrqpcPi0gt5nf4SORT/U+O1tveaYhHyCS25gK9edp83RVe58eDQh1Ew2LnFeeMYm/Rfk49FhDq9JtlnfC/fHtLfc1kU9RH3hjpKofK1OPLisjtm76ukNIJ/ZRh0e57Ry6lpDOS8/yz7cd234sPZXO8DrslW8xtHm6bN3EfuDR9xuvRP759mWNMoT8LAiAEmLJgUcZ2vVylWuvvRaXX365b5quXbtix44dSCQS2Ldvn7tEXl1djWQyiYED1c/QOeG7d+9G7969AQCUUuzZs0fKc+DAAZx++un47W9/i/Hjx6flOysrS5rBtxZWcxREer7Uf5+VhWxk0/nIqgGVD/cGG8LFqbxdA+JM3kuZjg/9oKR7FIxwfBB43ZDPLVITf6vSq4yCTIefkfLyUdEWy/B459tbLFsFZzbD8+zRUdWDv2hCHBCdEJ0B1ddD/ZttI3kg5nlgy3Vo6XRQXlb3y6fe3vBS6Oun1nmV3HiKclrRcVDLWS0Xsb2ctOx+LT9bZUtj+VK1PcsHm1ffh0TD6PHOlqBrb5aOX1m8LvPpxTCxz8vtIn5n5ZBufACAToShbxBEigsVqdoX7Xq5Sn5+PvLz89OmmzlzJsLhMKqqqjBv3jwAQFVVFcLhMGbOnKnMM3r0aJSUlKCqqgoTJ04EAGzatAmNjY2YM2eOm66+vh7z58/HzTff7Ib//ve/x6WXXtqqurQWVnOM6YCi1wnFbxVkpfUzn/7mNX3nU5Wb2a1WYmd1LpWRBxvZMLBh4sEUNt6pETvgy0dT+MFM5kGEbDTkgZKdUfBDt0xLPZjqypblJg7bqjbwp+kH1hWSDbw/9PHssqVOBnI7qejxDhxfKgXxvRNLXZaef9FZ1KcX+5WKTrr+qCvH6xNy3XW8+PHI9ylxK0JlGFX8pe/zDt/+FPV8snG6cjOd4MjxGUyfKUXugB4gITN92iOMVi+PO5errFmzBsuWLcNbb73l/qlOcbcFiouLcfnll+Oee+5BMpmEZVm47777cPnll6NLly4A7Jl3nz598NJLLwEATNPEDTfcgAcffNDdw7777rsxf/58jBw5EgDQ0tKC008/HZMnT0avXr1QVVWFqqoq/M///M9hqQcLszAXhHgDvjjj8cLEGYXKWwcTz3vIqlmC2uOUl7LFOHuJSzYkHi8W2OUofinSAc8PkcrlPXPRrBM3D8sLAWDBAE0ptN6rJgyfrHz48mSnRFzC1jsXclvx8Pj26iLzydMQt0BUdaNSnH5QY9Oy9XPoZ+oEqPRS1Fc+nk0j64g8IxP7gsifn5GSl339BnRRL2WIbcXHqfmVdUyd3uFBbZBVy/aASk4sHT5MZ+zFMkX9lOujqgNbJsuZ56DL9ERa/NK4F0bdMF4/MjC9EHXU6f9wxxAxuVdG6YIpGZVwpNHqmXZ7Xa5y11134brrrkNFRQUAYOrUqbjrrrvceMuy0NzcjHjce//p1VdfjYaGBkybNg3hcBiDBw/Go48+6sb/6U9/wrJly7Bs2bLDyrsKofwcWymJ6KWrB0x/wy36+vpBV/VdXFZ05ivykjg7AxLNqWqm4j8g6QZG8Tt/Kat6lsl6n2IdxZkdm8ahy+fxcoltIs5U1LIWvXkvLVHmpUKJmcxk/AyrOCvTHwDi66eusx3Ga4ssB9FBlGc08iqFSmc93aaCDGXJeLNYNq+YUr1i4X3jjYHzMgmeP1Uangb7ja2HqGN+dWfTsfzyn2J6td6IOiuWy8bx9aaKdCKvIk+yzhDFN5Y3XmfUo4HYDl6YLH01v6r8/HaTBd4dozBoEgQUVjQOFCjItjMIFW9ISYOXXnoJGzduxHnnnYcePXpwy+OzZ8/Gm2++2eZMHu2oq6tDUVERamtrUViY2R4IpRTbbnvUVbmH4zk+qid3B7XvLiuw3M3UzS2afVVKfwrphyNVWexvcUFbNQyxTgw7vIldXj0X0xltNkx+JIqVrEdJZZTYWPU8wHM0iBCmx6HHy8bLjy9A1qBMnQl/t1GdOrN0gJoDuUS/fuJXd7kkndboy1bH6dy6TFor87jMkJkWZVqOX1+BkpL+t5++qeJUfUguPxP+ZQwhCUw1Y6AAOleORefjx6ahxONQbEFr0SEuVzkW0fDhFtfLYzVM9P35cN4P5xWUgt0rlpVX3UHAxMuPh+lmPKp5hhq85y4aKtGlkGc4LB+EyQkphaqebFqPb9a4ii8/0dFVyYrPpxpAqPRNNzCq2jcTiE4MT5u6cWJ6vXFgZ5KOFL19dN64syZevsdcP3DKRk2ePYnOppeXvaxFdSyLr4+YV6ypmieRM8Lk4XXMgignnfPq8Cs7SOzahUObrZ3KMKpfDcM7jl5L+rnu/CkJHl5ZvFZACJHziyFi+RSifMVxhq2R2E76erO88XH+IxUPAiDZHE2brj3QIS5XORbR/Nku5hcFEdQr3TxMHCBF4ycqO+U+df6xGqqBTQ5XGXp2ABKHLBU9uaOne6EJX756TiMvucvGXM2H2qSwvLM1E8sW6yHPM8RBS2Xe+fQqg8KWY8eKLSCWyRoFP/mq5Mb+ZnkSh0dwv8VBWR5kIaXx4nSDt2r5U6XLnoGRW5LP66Vh9QPMd14SPA1+CVxucV6OPA25LCdO7rPq/LotE5XjLfLI6jzrAIrGVu+kq+rOm3wxvf0CElnH/GXK100HuX1kl13kh/8Ewp2PwrVxdJDLVY5FkJBpqw+13+YaAkVClxYqr103uxNnWhSAoTQKXnp/r1ieGfkZU3EQgJDO+26AwnJ3o/WGQ2fmVXuIIvjdKrljir9l+en51zstKpnKMnH21sSBSO2CiIO7fIZcdORU5k/85X84S4TKeOohz/DVNVIbQNFR4WVHuE8IKVRGXN/mIvwlwjtOandO1/Z+LawvVZa1Si/9jZFjiJ2S9a4aqxc6DVI513601NyKzg+VUsn0nHRsWrHneaWJv9lwJwfl+DdgwUASFkzkjzm6Xsnp4JAvV6mursbbb7+N5cuXo7q6GgAwd+7ctuXuGEbhxKEApTBggcDCQGKbbHnglQ0oYU5pQ1A6L61zIhduGkP5uncW/oOI3ylYjw+18XDqYrhpbFqG6gSnL8T0/CCvMlYqGYm88zyrByeWtji70dNWxWYSA6mN9XlE2fOOQPoyZNnxv8UZID87Ujt3lPvzaFKBDis/UX8cfRHz6nSRAhod5+WgdxDltF5+Po4vR9SfTJ0hlU6J5Yky1/GIVFqZd7ktnPFAxT9LS8WvX1msLsp88X1XxSerAzpnTg/1ZEMvJ/XYSUARzg1x57WOJrTaaMdiMVx22WXo2bMnjj/+eFRWVqJXr174/ve/L90+FkCPrN4lMHOzUm+gssHOnuQBxlNovtHEgU/M59F2wtlBUJx9Ox3GEMJlo8EOxnwn88rw72iiUeCX6tR1UtFtzUxE1aH5+vDlqoyyaklRzQc/6PIDvzwQq2aTBpOXd8LEwTgz6HkU+ZDnPeyg6qXx6q43iqILw9ZHbeDkdvYbgMWSRB75eqkdG7VTJ/PA0xD1RqTL1lduX5UxVi1ki/3Lax2dgRLLtnXJkspkdVE07up+xvd5loaqzxDht8oB1Tk/rA4SRl4sXZWzCQUNlQOg6zcEAG2Oon7Vx4rY9kerjfY111yDTz/9FH/729+wbt06rFu3Dk899VRG77cOwMPMDkMckEVvmIXKM/WMvno25kdbNJQGE0e5/LxxA5NPZWhU4X514Y0lPytTmw8ZrTPkOj5bM9tRGVx+oBMHMe+7X110A3FmMze2XDGMNWg6o8jzS4V86QcM9UAoG1BZr1jedU6bjk8vnE3vPbOv1z+VwfVS8k6k457ojYSqjWQDaUBnECGFyU6r3HZe37bcdLwuqg21n16JhtFOKcpY5Wzp6In9W6/PKsdUVa7Iv+ggi2OW840dW7SgFI1Vm/xStBtavae9fPlyrFmzBqGQl3XEiBE45ZRT3JvHAqQHTSSRrKkDQFKaJRpB3q8mQqyYwvmt3k/zcsppvNmSF+981yk2ldKKMww+XD7pKvPN8sl+8zovfyRFdb2jKDPZhLIDoap2Tun8ES3ZMaFSLhUVr/6iDLx6px/oRb7YOFGeukdhWF5kjmUD4kdHX38ipPN/zEpVvlq/Rf68E9t+/FGAOTHhtJt+TubwLNJSc+i0plw2mLSOvuke81PLmtcfNr0M3gj6tb6oS6pfqjxyK+rMncirzjGhmnqrxwZWUqrT8PzLcMBJQhzPPDrpkaxXv1iqvdHqmXYkEuEMNhv+de/j/iYhUdsA+/YdClBPOdmZs8oT9tuHgSI9hHQeDTFMTsvSlePlWZMH9T6kF6vnje124kyM/06Z5T6Wsjjb1clF7fGr9v7kJWh+BsrPgFj6Fic/ouRP/anijU+naxePJ36GpdMjWX4Q6qqCWHf/tKo9Sj69SiYsX7Ls2WVueTatlotYttyPZPjNx9L3tXQUVKm8WTOro7we8TNQVb35thRl7vx3HA+9EeN1m+8Loo55JfgZRb4/W+BvN5TLVzmDct9Ip7vUlWv61S4bRu7Rac9abbRLSkrwi1/8As3NzW5Yc3Mz7rzzTu591wH8Yb9YnR/seGUWB3s/eHScvWg/z5jA3t/iPVA23lZqp7uoluJUg55Tlm7+oe7MrAxEA6L7Lhp1b/Di62KlliIt97fKUOidGdU+pyxLcVD0BgeWlpyHTS/Hq9pEN8Nlf7PLr5Srv7jXaECWn8gHz6M4CIoyVOm0/6xMZ2h1OiY6iPJ3nQFT52F/OyXKDhirD7LMZadODZ18vXy8kycuo6v1SHTe/J1k1vCy/OvK0EO/raeWmx8N3jHRORpsHAsnv+pgnZdT3v9Oh7yxQzJMeWTR6uXx+++/H3PnzsXtt9+OHj16AAC++uor9OzZE6+99lqbM3iswiwqADEMUMtWVlPRoXXL2F6can6qjudhp7QNt5jG6Xz8jFccmtO7EhbYxUmWU93AR6VaeLyy8tANujJNNl7nBPBl+ENcMhdNld8+oZ2ejxcvB4UbruKPnRmp6XvwjIjz7LH8jjG+Fioj6y3oq+stPs8rbmHIPKpieRmodZqXrfyuNMJ9srrPGyT+HmwqSEksl3UsSOrNdqp+wXLC1kvUdJqiwb7YxJOligNH+nYqub/KPAB8e8mQxwonj9fWuhYUpcovyzt6BniPmar6BFsOT1fPtaqPei0urxipnzNPB7bdc0cfl2GuI4tWG+1BgwZh48aNePzxx7FhwwZQSjFq1Cicd955iEQih4PHYxLEIAgVFyJefRAAYBAq6Ss/EAGyl8kPuWpjpp51y7SdPKpOIw6R4qDIv+CeHzx5uk7ndrgg4Guh3r33yiZCuTroZqoOFTFOZwz9uNHNEnXpWB7swZvNr+aQf7rWiaOwXNl5tNWy8+dRnu2xbWS45fGpRJ7YWN2ga0nmX9Y92THjDYyatkrvKVeeTI9IchONCBXKlfsNX54D1o1h9Yp9RExlYPQuMGGkRiSJ6Z1YXifYcuWzFR4nznexlqLTpHLu5PxEosLyAS6GpeB/TMzZ21YZbKd+Xrjf2p/OpBuwkNxfC3Qv9uGjfXBI79OORCJYsmRJW/PyjUPhrPGoeca+q11tesXB2oHuahNVfkgpRSOuvqZSngmIQwA/I6GIgCLmDvQOFX7m5JQkDgB+XdRJyb+wJF1qHVSHU9h8PL+s106lcGCiGUNV0m/vS+ZFZ+BVg4zcVmxazzzIMyDVoCyG6Phgy+NnM/wcTnZ2eMPNm3velPFyVRlp+IT58+2t8ciGS+WoiDNTVufFHiX3Q49H9mUUrOkW9/TF+9b85++A7CarwPdHgu4kga9omClJ5F7Ud6qgJceJklL3IPUhRN750LkbaodOLlu+48E7q8FC7+CLLoIBCyZJ0W3dazmOGDLa066ursbtt9+O22+/HevXr5fir7/+eveClQCZI2f4QET6dgfAdn8HrPKxB9RE8N0foAgzSus8xqWaUYnw238kUCuLY4gBYJbRDH5W4MwS/Pb7+AFAxYMu/NDh7H+xshHpUymMMKFOfcYYLUJa3UEYj4aOJ94giybEv/6iuVel9uOLDSszYgCcPVWggCRdo+O9/tRPbnKZ7Kfqkg1+pqqSm19b6eui+y06n+ynyJv4W+908fXwy8OXqTaIfH5RH9i0bJz33Tvfolo+1pfnYDhpxslmPdRzVXUdnLCzzDqlUbX7nsi3mge+P6hiILWjJyt/HVfpKQHA3qcS7t1NyVd7IyOj/dRTT+HnP/85ampq0KlTJyn+448/xpQpU7Br1y45cwAtiGmg+PyTkTuujAml7h/hfqfyuGGywjr5xYNHcho5VD8YycuGHp88TAWddAOWelBUG3rVPNhDZjerkdThNJtf0VA6pegPwrADKAFgcifY9fL2G+xZ5AoDi9eW/gO8OFj5O2l8aA+S4GhPN5u5up9mNihoqIyoSm6ywVDVhUhyV8uSSvGejHSQy0qH9Gn5vinLneVNX55t5tkLdBz3PZ2T4u+AeeGywRd1VccdRS6x0I8kBCfN6Z9+pVIUE7tfGJqT4Z4jIdZT14fYNlYbZcr8ZzXG0y1RHzU0KEVkQE+EOh2dd49nZLSfe+45PPnkk7j33nvRu3dvKf7FF1/EVVddhdtuu63NGTzWYWSF0fmMWSiYOV7j/atPS/KdUny0yAnjaamh7gCZGBi9N+s3s3boq2amXtnEHfAoRIMsd3DnBnM7rTyzEPPKhsUrV66HbkAR66OaDYl160oSGG+0SHEEFJ1IEsebjUwb8o6E2phQNz+bh8K7Ta0LSQpc8IPWyUaTS5NdKXH+5xN//VDx6vzmT0DbtLtx/LD8ZzZrZ+M9Ofs/ykPc9DSDdHLZOn5Eo8jCAPWhp3ZoeH3MZMaoM+xE+qVz8lX6pZq9U4jtrCvNxnijRXAmVX1e1GkCkQ9vDPR0XOxr+pU4AlavZX55vkApQIBIr6Nzlg1kaLSbmpqwYMEC3zRXXHEFNmzY0BY8fSPhPBPIKicPedAmqcvtxeUmQlQzAcC/o/l5uRDC5c7NOw964+bkP8FohroTUjizYfvPgnhfOcsbO3PWd0wbRhq+dPm8+gEGkjDd2YPYHurBgx2G5hkNGG9E0VkwXOeYdTjTaODazX92zhpGJ4Q3vA4KFY/ClKbuug/BgiGMAga8pxnUddIZPN754bdmvCG/N4lzvOgcNy9OfGbZ/jSYNiBMWPrZnR/8lpLVYHWYbQOeBqsFYl14HlX0vXyyznnf2f5ncfrumF129svKkggzWT8HSYXxZotQb88pYR9BZHXT1hF5JcBk8nt1IEzdVI6iznDzMpaNvZyO0PSTjvZERkY7Ozs7I2LB5SqHDqvO3jviFVUF1ripO/hJZgP4Tinm8y404GcgMvwMtwELZurPG1x5h4G/PMHmIQKKgal9U74cKsxO+HhxIBQvVyHCH7jVBv3MSp5dq5Zp+YGNMP/leqjLAYBcIj9PagAoJBZCihmtGuLARbkTpfrBzSuzEBbOMetxnlkPUPl43zgjypSkMyTq2dPZZp0QBy4NK1fe8MgzTdZp89rGApHosfwQ5rfIs8i/jTxhG0JcIRAN7rjUaolsFBy+dLNLNU9+Th/l0qgdcLG/8zNcue7sXrf9R9xn+v2Wv2XObXQX3lFoCLrsOOF6p8QLj6TaVxy/eBnLesSDXamT48TyRQcoE2etvZCR0Y7H47As/32jZDKJWCzmmyaAHrGNWyXFU/0WZ6aqztWLxHFpqAY9UzMaNi870DkDoCl43XqIeVneqHuIg531yIMR6zmLtKkQwnIvevBs3Ykyl+3F+y+XsxRUAyc/CIszQN2AoDJYTFkEUhpnQPOkI/LgYRCJcXGEACebDShCUtmOsgGxwwqJhSwiOGzMyMUPZvyMl6kNV/MuJInO7h65uoV4UPQnUSYd75TyRo132sS2IMo4hzNdm+jj1O1rUy4z5LFO7Js834RpWzWmG41uuaIhYR0ScXYoz5pT+QjLj954s7QI1PyJhkyVj3NMqHr88gdlEma23SQ7Yjb8nH+uLCUPFGaXorTcthcyMtonnngifvrTn/qmuemmm4JXcx4iaCIJq6bONXSpUADqgUA0WvIABRgE6EkSyny8587SYAd8+c/fs+V5UTscPC/+cOrMU2IHC/2chC+X7cDpnRJ5JiMPoEy7UHm/XT8bshNQeLeRARTnh2oB2I+blGjequ6UfZrZiNHcLNhGdyOBc0N1gsS8QZBdFgUoCLGdLPsv5bzlZYOY7LEjUQe9ulE3zJLSGRrlUC2zG6CYazqrTKz8dGcdeHmo1wIIk150YlSGgMIkesNdktrKcNorCxYKYOHCUJ2iH8iOp80HP4NV5RtmxJBD5Bm56JCIDotXV5F3HkMUjoYeFP0Ir4vsWCQuqcuuHEUZyfytj1x9aLrVRmAY5+h5eXVOt6rdB5EoHGfU3mZMpg6WWkftITQgw+e0r7vuOsyePRsTJ07Eueeei6FDhyI/Px+NjY3YuHEjnnzySeTm5uL1118/3Px+I8AaVv43xSyzCW8ncxV5mGdKmZHbzusFZObtss//eobeGypau3SUciQ4muysTeRKNO7ijE3khB2YOUlIdE81G/BisgCEu11KTmuHWOBvr5Lh7cnxRs6WOks3FUctgHi+MoG9ZO48E5pDLJxs1uPVZD5E+RAAPUgcB2CqZxFEdnEAwKCeweBuwaMUZupMhAEATU0glCIUisOkJgjCUgs5g6LoHHBmhHrhfG47jDek4iNkutmeuk3V+izqjF5zWf02IN5WYJ+srzSb8JdEkUt1tNEMEwnkpkyLyIMJ4ALzIB5JdpI0jF1LUfFuShRl3j1DpNN4uc9QAMebTdhsRTh+TjUb8FIyX8EJUELiAh3L/eb8t8tWz4oLDQqIZyAV/PH5WP3g157A1DUiDpJg5SKHy+0OFJIkDMpu6dn5TVigTUfny0KADI12dnY23nzzTdx88834+c9/jtraWhBCQClFp06d8P3vfx8333xzcCPaIYKETJhdOwF7vfvcPWMLzDYa8KZlD+L5msdbuFlg6kc2cUytas6qpsHOo/yWaJXlU1V3VM2YPG+dfTu43OnUQ63SYEndUjbds4wm9CRxsHvvbH3F/AB7RzsfP8loRr/U9sM5Zh2eTBZyUmZnjByfxAApzAdqvCjC5QJy3Nu8WF5SKVQjkAKs/hACEK4s21iHuFk9dZc0xbJVxRHhOze8cg4j3P9sa4pbPAR8K5SRKD6h4hkZuZ36GzFst7xxx6aTTlupkNKbhasHeI9iPpIYR5pdB8hzgjzzPIS0IEtzPoG4Dg5bF2aGyGXz13vd/rAj80Ekhp0IMbUDTjIbUU0NfGDloCtJoDcRdICRiwEKC0A3Ekc1NRXpvDLN1NkDnn1//r5l1uPvyQIuRtxE8Lhh24hAfsRT1yk8HRO1ULzDwvlOADQ880+EenSDWdxJQ7f9kPELQ7Kzs/Hf//3f2LdvH9atW4cVK1Zgw4YN2LdvH/7rv/4rMNhfE1kjBklhTkfuZngdqxOJa4ckMXwoieI4I4ZZZoOyg4uYYzagwLkNSGmq0kMeWNRpTOHdv2KZzqEsMX8vEuPSs4dbVDM1vtbyshvrYet4V9VhjBFFp5SsOhELeeophQRCKLJHD0ZkcD+QiOgzUwAWCpFU8COuPgBGQR7CfXsga9hAhAf1VZcnGYIUBSpfMclkcsvxnA8ZJYrl0xLEpTARqqXPkPA8cxfhdL2fHp4RqkN/wi798jolDsred9lAOMaKBaGeA7bQrEWIiLrmlMc4uUQ1w6M4K1SLeWYdwyck/XW+TzGbMJQ0Q4fLQjUuz6o6DknJhI3vZ8RRbrZgiVmDBYa9LVFE+JPjbB1MojrPIbdGhOmvbizxazUgF/GUsRefguGhOqfhrXD5jVM8T2w7+fVtJ2/LqrW+/LcXWv2WL9M0MWLECEydOhXDhg2DIT4vcpgQi8Vw1VVXYcKECZgwYQKuvPLKtAffKKW4/fbbMX78eFRUVOCCCy5AbW2tMq1lWaioqED//v0PA/fpEenXEyQS5sLYx5kcRcuDhTNCtfCbbjkObohQnGg2YpgRUw4sLGabjTjOiOP8UK2r4LJC+xt+AorRRjNKSAJhzR4hO1A5A6Q385Zn6YC9jAUA040GzDUa3dmRuuPxqwOquBHufpg401MP9CJdfZ2c7z5pLYrskYORNbgfcqeMRe7k0Si+ZjFCvUvdJDnEHtwhyYSm9t0SMIkF0twENDfDzImgYOoYqVy/IVN+dlsPAxa+Yx6Uws806t3vI4wWjDOaMdVolmZYKufAeeTMkZmzv+gHsd09WkmcZDbiNLPeTTfdaMIS80DqCQP53ME5Zg36SIbexkSjmTuxLusJn4d1bJyzA4TyM7xTzXqcEapDN5LEQCPOnLNQnyoHKHqQGCrNRkQycLhF5BILILbddGrAtkPYgHv24CxDPSY6mGk2+TiQNkpcfWLkRr3+1InRN2eVgv2dDn4TFfUjfmonnG9XH1gUsS2fZ8DZkceRsbhtgGuvvRYbNmzAqlWrsGrVKmzcuBHXXXedb557770XTz31FFauXIlVq1YhEongoosuUqZ98MEHsXnz5sPBelokqw8gumotcwgI4I0Sr2D8DVbOQQrLHaB0MyMnvKswQzrTrMPgVh1SUcMkFqYajfhWqE56axlcfmEv2LleuGe0WXjLdhQLzDosNvdjtNGCMPF/isGRSxax0NuIK+NNd+mSSHF8Z6dSHABuAHLkzy4Jq+ZYDsKD+yHUvSSVmIBkZ8EsyENO+Sju+foS9+pQb2ZAQL0ZKaVAIgFr3wHE3t+A5hVV2gNgqhHvOOLf3p3hDcImLBSRBFSzSQediIUKo5lZFuZXBtjH/ghxtm4c9iiKSVKpB+qqCINuyjj0YvQ6F0nkCAfI2DydicWc4ucx0Wx2+VKtzLDiPCM1a3aMB0ld9CNuLfUyEujB8DfcaOHoi4bbyW+4PKrlkqW7DY4CBk1y5xkkGqmKhIn3fLtK/sWSg8cr1Bj38TcP/GTD1lsvt352rOp7Hh3veyniMAhFZ1cvwX2yDr1ISbvCBKQmGw6Z1jtLRwIdwmjv378fv/vd73DNNdfANE2Ypomrr74aDz30EA4cOKDMk0wm8Ytf/AI/+MEPkJtrH9y69tpr8cILL0j3p+/atQt/+tOfcOmllx72uohoWbka9Q88gvgnnwHN9oUjjqJ7pkXVkeyT4eONJkxJPSpip+W9WLa7E9gHnRYYdVCCUvcUpfoyfoei/BwmG24fbtLvvc8z67k8KkwxvIMgBijyiDczF/Fd84DbOdkZRUiYKYGIC6J8Z9ctdULIM9+sAyEWCLEAWDAippCOpevRMnKzUXD2PGV9s0YNQXhgH3ddVVzu5C+RYZAaWBLbvkidAlcNUekx2eAP3hxnxG0HzLRnYQYR65UJ7MF6SurSGPfYFJVpmcRzTJzTvOLSp+xqUYACISRhgB28ZcPg91QAQDHWsA21c39AOOUc9SWxVH9g29Kj0V2xRRAi8ixdlFmBwvk0CcVEoxHsqpoNfstKRc+F4bywx3INpWOQTZqAkRWCUVQIEPvVmYSwq13OxTrs3Qp8aQQU3wrV4vzQQWXxxDDcGT47geiGBO+4IRPN9GQn6n6YUCwxavDt1AqQ195OPxEdbo9/8d4ICPEAAIMgPKBPWg7bAx3CaC9fvhzxeBzl5eVuWHl5OeLxOJYvX67Ms3btWlRXV3N5hg0bhry8PCxdupRLe+WVV+LOO+9ETk7O4amABvFNn6Hl9ZX2j9Tgy3q7jrLZd3rzCnaaUYe5Rj3KSRNGEd7TNUBh0gSyJ41BqGcpN+jlwUKIeAOi24GohRASqfIB3XvEnIH1W2YdJppNEJcPnc/O3EDn4XijwV5KY5YPCYAhwuMh7EtP5DOkvNcdJklugHCNN6XubMYMEYR7drUPDlGelkMnE1NEANeBIKAwQiYQ5w0GWy/vN0Vk+HEwstRnP4hpovC8+ciuGK0czAwCzDQbFTEMLHbg8h5jIRnMGMSBgBBgtBF1l7G9OrGzttSfM8VPbZWx/I8xmtAFSSZ/asCkjL4IFSawnT9+5Ujem/bo2X3EdJ1N3eNi/IyTFcsIEsPZoVrMMex71s8xazHbqMfY1KEzR4/CrjMhyzQXFopJwj2oxjoKIj8jiTw7BYDhZgxzzHrMNetTht1bhXBo6RwBs1sX5EwZg1C3LsrtZAOAGW1BVkkRSm75AQoXnYlQ3x4wFA6EcmaeCi8lMeQT9ZkUoyDP/WkQinNCBzHRaMZUo8l1CtIZaz6eNdii4bYYZ09F2+N/rNHM6QbfNt5KpdNvQC1kV4xOw2n7oEMY7a1btyIUCqFr165uWElJCUzTxNatW7V5AKB79+5uGCEEpaWlXJ5//OMfCIVCOPnkkzPmJxqNoq6ujvs7FLSsWO2OWGwnEfeTC4iFYUYUo41m94BWDrEw0IghpOkBxCBAbR3y506HkZMFtmOZhOJEs851EAiSMJmBNVPjxf45tB2cYDYow90OI8zUCYDuqdPYxYKhYD958Hvh7BKfbbCT3h5WIgHs2s2sANiDjXdVqsU4LGyZOmnYs0YzbCjrGeIO5lCQ3GwY+XluvNXUDKvmIGh9A6jjwIRM5J8yC5FxI6RSv2sewPDU89lSp6XUfnSFeqs07GxGeSkKAUhOFhAyU0ZXMUATKgmeNWAmsWc12WOHIbeyAnknTUfu3JmAaXADo2hsVdfAMpVxeYdLQ78PKbaXtxpDlc6AswRvOFsaxHMSupCk638UkCSGGDGYSuOnnsWNNFqw0KxDDtP2BigmGk32MjXjJYQJcHlYvUo42IhhgBF36zPHrMdQowV9jJh7s5g9I7aNuWES5Ewdh6zh9mFWq/qA2L08UIrE5m1IHjiIyIDeyJ0yVmtETWbFgzCPLRiAu5rmPbZn/6ZNjcyYZsu03GhyD6o56EoS3F4950xxuitWxOEhtZqnqGdX6XIfikGkmQux24a/6tXjhSJcmAOzSP0oXHujQxjtpqYm5en0SCSCJs3zdE64eLVqVlaWG9fQ0ICf/vSnuO+++1rFz5133omioiL3r0+f1i+j0FgcyZ1fQfdYhIhKsxFTTefFDuJDJgpYFMntO9D0yFMwmhuFAQ0oM6Lc4OtctCHz4Q2Wk5glVEIte8/MuZSgIBckJ9vlpYBYyCHyG44ovNnvBcLhprlGPcqNRpzMHHACAPFy7IvMGnADO1MIb7xVZTsd3jl57t2YxjtOHj3tGQGaBJpVMyaKk42DjDNAQaJRJLZ+jvi2HWj83ycQfetdxD/aiNiadWi4/0+Ib/jEzZ0/fzbMbsW8CJjKdIZ8stoZhFSG0uBkkro8AnGEoo0Il3ZCuKQIJkm6/DqFca4jpZhkNDKyou7FMiQ7gsjg/sgaMQjWBx/BTPrvl0dc2cu6qwrz6iG2l7wdkJNyynqSONe3BhjCLXIGgVFUYB/+JOpynd/i+QzH8TCL8kBysrlwlsapZj3GGC2YSJq1ddKBdVEKCcVssxFdhYt3nItxQOAeYqV1DVy9dbqb/MJ+I6N14KAyviz1sg8DFsJIwKBJyflyPvNIMuVAACSeAAmbEj0K7ya/88yDOIvZovMcKdkxU+uHc25ATvDd0H6cldrSkR1AmRZVhROA1jci+k6VVI+jAe1qtG+99VYQQnz/qqqqkJubqzwpHovF3P1qEU54NMovu0ajUTfuP//zP3H55ZejR48ereL7xhtvRG1trfu3Y8eOVuUHAAjXwg5zl9Qc+BlzXs1UswGAAtEWgLKDmzygq/KJnZMAGECiGEuaUoOm/YyvwSxNkfr61J68h0nC26MAoBtzajgrZXycmuYSiolGC/KJlTIIFCRkovCib3F08whNPW6kXxNQ15Ew9WMHCHG4VXvf/Y0ozg7VuF6+66VTyjwHbaEHiSFXnN0mk0h+8SWaH3kKyR1fcrRpTS2an34RsQ/ssxbEMFB0ybftpUYFV87eNf+CCN0JfD6AWx2hFPhyN7C3mksepnGEEEdW2QA3nQELpUR8nCs1m00kQS2KpseegbVvP7/iIbDSl8QwnLRwDhJbQ1WLyrNpT6fF9BeYNVhiHnBnuw748w0UoBYigwcga8JIhHqWAuGwV0CINzp5hGI4acEo0owwUyEjJxuFl38HJDvLy8ugD4ljitHkOlwEABHalK2k4T4T7M0T0510poD01AmL08x6ZMPCSaIjDAJqWYi9976Up4gkMcPdW2fL5nk5wazHQCOK0YSfOJGYfQ6AMt40AcUJRgO+ax5AIbFAiDc7Z9vFhAUzy0RkVBkiIweD5GvkhZTTIsgmTGyfs48RS+sohYisn15VKWJVH4Gmub67PZDR5SqHC9deey0uv/xy3zRdu3bFjh07kEgksG/fPneJvLq6GslkEgMHDlTmc8J3797tvk6UUoo9e/a4cW+++SbWrFmDp59+GgCwfft27N69G5WVlRg0aBD++Mc/KmlnZWV9/ZejZEVgdC6CVWN7hUXEwiWhA/hTokvqdxK11EQh4Qd/AgJkRxAe0AeJjZtTUfYBljVWTiqNBUqItJfpN4thMcFowhorlxty7dmZt7dmANJY4nVAO98wI4plzG1LZ4Vq0cWlQdzTuwQEecIjIc5feHA/hHp1hzl9AqIr17hpKDOwqeC3xD/MaMG6ZLbraav9bRl9SNx7tIWyHrz3/nJ+ENHQ1Owxt7zyFsIjykAiYZCsCLLGDUdy734kvtwLQpqAJvugosk8x21Lz39DI9TaU7CpulmfbkF45FAk120EIA9wjkGPb9yCZEkY1t59cryAU5WHEOVb0fjnKOzw08w6vJgsVDHs5gwRuNeJsCWIS6Gh1OhOIhGEB/dH59kngDZHQbIigGmg6bl/Ir52k9tWs8TzBIQgMmwQzE6FyK4YjWT1AYSaDwD7d2pWXwAYBAXnnwEAaFm1FokvdsGoz4XRrQtCPbqh0ykjYDW3IPH5TlAQJHd+hdjKVUinm4Q5J0EK8+E+5wX7jWqLzRppFc3s1wuJzdtA6+ohzjkHkBjCiuezWZcXAIYYUQyFuq4GKECTgBkGkkn78CFxXmxj66xJePouYnEkP9lsr7C1OJO11q1VzDPqsd8I4e+JInhrbDxGkRasAj/py2WcPdrcYutE3pE965QO7Wq08/PzkZ+fft9g5syZCIfDqKqqwrx59unbqqoqhMNhzJw5U5ln9OjRKCkpQVVVFSZOnAgA2LRpExobGzFnzhwAwEcffcTlufXWW/Hwww9j2bJlX6NWmYEQgqzJ49D8ilcWu+/jPCtq3+DlKV1kwkjkzqsEbWlB3ZbtrlfLLgebsGBRYiu9MGDnKw6dFDH7vAQUk8xGrLFywe6xu3y7/EOyjO7sjRD3M58k0ZC6TalUOGnr5KGg3F3CAEBysxHudRzMUvvxqJw502F06YTm11cCzV5aP3MkdlNnz7yrkcDFZD+20Sy8xV3hyBpv7/ssowE7EMYwxeEhAgsGoRhqNOMDK5eNaD1iMSQ2bUF49DD7t2HA7F4Cs3sJOp94JqIbPkX06ReUM1gHc406fEEj2Ei9ZdtJZhM2Jfg39YXSGHq3GiHnuk19hWh9AxKbPrOnOJZun1qbGwAwmESxHLmu1FX85RELo41mrKM53mFCli22fAIQChh5OUBjI8ND6jMeR3zVGljDR8PoWgximiD5XvvlnDAN8Y+32GchRKeHECASRmTCqFS5BszSrsgdPBSdehag4fnXkVj/qcsHKID8HOSffar7uF/+6ScAALJe/5QjbeRkIzLU3pum/XohvnIVnLv9RhrN+MhyDAizcpbtTSBIOAyze1dg9x6OXfZHaMgAmJ2L0Pz0i7Zj78bLzqvc6tRNRyDfOsjVhRCQ0mIkqw+ApFZjHBoGLCSknMx4E/Ne3+p3dI0AON6sx1vJfJxoNnj6Q4BSyGdjWESIfRL+3WQuepAEGmFglHCZDQm3q4lUokPsaRcXF+Pyyy/HPffcg2QyCcuycN999+Hyyy9Hly72zLS6uhp9+vTBSy+9BMC+BOaGG27Agw8+6O5h33333Zg/fz5GjhzZbnVhEakYg3Dq8IhtBD2DaoJisBHjHnUyssLInTcLJByCUZCPnBOmpA6KqPdl2MHmdLMWA4woZqZOxwLAotABXBCqST1b6zwKwdAAUJRS/HFG+rt4CZxHwVKHZCh76MtJY0ncOvVz9luNrBAKr1gM03meGbaTkz1hFDr95HIUXrEIWRNHwezRLXVARoa4qHi2WYMuJOkOYDnuEjubw7sP2lm+zYJ9CPAko4E79Ee6dALCYdeh6UOiaWe8LLopHBgYBqyD+kON1idbFAaUL3OgEUel2eg+LnS2WSPd1lZp1kvLx1kq3imFtVW39eO1F4EFa/cejhXnWfZBnKOTcugIAYgBIy/X3gYDRYRYmMiemXDOAghD9jSzCd8z93OcGEX5yFu8EKFBA9z9eKN7N+QsOAmIO4M/rxHOnnpi8zblyodRVID8CxcAztIzc+iDZGch/6KzYBTkwTpYB+vL3bB2fgnryz1AOISCs09B4VVLkHPyLGSfMBV5552OTj/+HsL9e2tkqUF2FowunVxdLCQWxiv6oVHEv9wiPKg/jE6FHt+2AOy03YqRu2AurMYmWF/udqNYGTvnXVRQrrboQClwsBYF378IWZPHwSjKh5GbjVDvUuGefP/n89M9ajjMiOL74f0Y5PItp9NtMpSSBM4M1WGy2YQTTKaPE4LQ4P6+Ww/thaPPjdDgrrvuwnXXXYeKigoAwNSpU3HXXXe58ZZlobm5GfG4t+929dVXo6GhAdOmTUM4HMbgwYPx6KOPSrR3796Nc889l1seX7x4MRYvXnxY60QMA7lnn4qWZ16EtWETrDSzs5yTZ4OEPSWyPtliGy3V8qcwFeltxNEL/AsAcok4kNmzXvY+8LlmPfKRRC6hSDLFEACDjShWW/zyEkHqmVuaWpJULs0yS+wphAm1D9UAMMIGSEg+zGJXh8Ds2hlm9xKEIjmIHTiINEMHAKBryoiwYikhCZxm1uI9KxfVNAzWcFMA2ambwNw7lb1NZeSdOQ/R516CdUC9PNgpzbWm0wzbsA4ymBUGywLJVS/FWfUNSKz72OWRRTbnbNlMfsesQTMIOpEEZ/Y6k4R7Cp3FYBLFTiPMvc4VhIA2qh4zozjLPMAvnzY3A4bnkH3bqEEzDBQQC42U2M4aMREaPhihHiXICZcg9MU+xD/6mHOUHAPF0hYHXPEMR9bk8QgP6IPwgD72SXwKEIMgsfVzIBaDuMzLIRqFVat2lEL9eqPomu8h9tFGJL7YBYAg1L83IqOHAgRo+fuLSK79GMl4CUAIotvWo7lqJbIWzofZszvMyeOUdDMFIQSRKRPQ8tIbzLYBM8MGYBgGErv32PxlR2B07wajpBiRiaORWzwcsTXrYdXWgeTnIzJ+BCIjy0DCodRetrx9VkziKE7pAHFWzRh0cd8cKPfrUhLHHioYuZAJs3MRcubOQs7cWQCA5J5qND30SCoBu5XhtL7Ml/3yHn4ZHwJ//OKf95QAAJCwAUIN6SyRH7JmTM447ZFEhzHaWVlZuP/++7XxpaWl2LdP2FMjBDfffDNuvvlmX9rdu3c/IkviKtADNbA2bALgvf9ZXA4ieTnIOfUEhIcP8fLFE0hu/UJLlwDcQRA3zFV6fvAn0sDvxTv7PKyRzYH9LuYFoYN4LlHk5aOUu8KRPRVq0kQqFQUlBsIEmG3WwwKYx2QojMJ8WPv2uzMBa18noGc3uY7hMCLjRsDcA2CbfSe5O0BHQu4sy6s78yOFfkYcRajDX5LFzPBhG+7uJJHii9lBN03kfGseQn17oqVRvfpQSuIIE2BJaD9MAP+0CvCFxT/9kEUoJplCfsNAaPhgJc3Ehk9SFZDb9DT3tKyHMAGyEU9lkdtbhEnsu+c5UApQL2+Bu5dO3Vv5+JUJuGlDBChIbduEYKT2OBMwtn0Gs0cXGKkzHaHBA4DP9zMUZGPgnIEAt5Rrw+jdA5HJ4720zBSO1tvL4rqaO/zTmoNauZCsCLIqxiCrYgwjForoX/+O5GbmcdOUztOag2h5+AnkXLYIRnFnLd1MEZkwGsmdXyL+0UaA8PfFh2gcJBkHdVZnmpqQPHAQVkE+UD4GkVFDERk1VEmXNjTB7RWMYz2QMAe4FKtYEacvEAJSVAhaW+s22VSzEc8mOnmJ8WiZDQAANL9JREFUDYLwUFmfSWGBvXWX8F7cs9CswdPJztDpqDOWpLhHLuTbDp10RtdOMGMtQF29PRGggBmPglgJhora8AMAwmHkpvr40YgOY7SPVcTXfAQws2VHOU33ZjIKkpfFGWwAksd4HIliNfLQhXvGmQKFhfZhEyPV3S174CN5+aAN9iyKdC6CkYgB9c6z1V7nCDODHiH2DC5JgCxiPx7Uh3iPgjhL3Kx5N1OdxqkbBdwlUQqKocIViITaj0e1/M+jSCbtQ4ctn/0b5nF9kXXWfOk0KQmHERncF8b2T8FOh41YDAaxQEIh0ETqxHp2FsLjRiKxeSvo/gOMvHn+HMNTxF1CA4QG9UPuwlO9x3zi3q6cc8MVATCJNAIUyEm/AMAhMqMChmamTZuaUwzavEUIRYwSTDIb0dXwVhGoewjJYl5aoXojkrNeStT70AaB0bXYvip1fw0A+8USpxi1yCVJ5dDKnr1wtkhSER6amxF/YznivUeC9uwPs0c35M9fgljVWhgf74KxL6o0svZJdWaGZxCEhw1G1rC+9i1cKmRHuLYdbLRgs+Xs7VP3j+7dh+QXO2H06aXdbmFh7fgSyU8/U0dSCiTiiK18D9lnqG+/aw2IQZCzYB7CQwchuuojkJ11QCIMIxZVtEFKe+sbkPjgI9BZx+lXrPLzwJ6+P9/cjy+QZZ/bYFfHFOdi7EIosudMR/OLS4FoTJ2GGAhXjOWzWRZif/+Ha0CdOuQIOjrAiGKblYUxRhM+ElbzpjsXNMFWXRoKw+hUBJKfh8jk8Ui89CrgONSMp+6t4tifJk3YmzCUwijpCrN7N4QG9EF4ZBl3uO9oQ2C02xnW3n1KhXeeZQUA7K+RM0bCIEUFoLX2adxiksRicz+3VEooRWTyeJgD+yK+/hPQliiMzkUIjxkOIz/PPh1p2Rd/ND/yJKx6e6ZFAMw069FETXQSBujOKUPmvIc23cr0XKMOrySLMJm5ahWUAoahvKnLMAAcqJEIW9u/QMuf/4LsyxaBOM/sx2JIvL8WicQXAO0G3gTbi/wkEYPZrzfyF54BUlgAEjJhzZyE5udfQ3LT5tQhPhPsDPtM8yC20CxUGM3u2QACipwFc7nnclGQD6SWVjuTJE4y6pBHktxjQaCUcwSMPj1BDxwEbWzyvISQiawZkxCZqV+OM4oKQRha3zFrsIuGcRxzgI8QivCIMljNUVhbt3nOFpBa4ndWDZz9aCA053hEl/3LPvjjGD/LglFagtzzvoXEuo1oee1tOKPfAENlLFI8psqwYLgzHOnAojMj3f4Fktvsw1KJ/YUIDxsC4/0t8DtmU8wcXTLCIRglxb76Z/bszv0eYzRjs5WNzu4SbwrNzYj97//B6N8XkXPP4g52qZBY97EtK91Sq0WRXLcBdP5c+5KjrwlCbAclPGwwcj/bD/Pvb4PG2C0Ory7uatrBWrTc/RtETpsHc4Q82w6NLEP01bdAqP3q2SJiYRSYQ1iEwOjXC2hshrXvAOtxA4Qg+5TZCI8cCqNLZzT93zO2UwnipQuHkHvOGTC7duHKTX6yBdbmre7KFeugDTNasNHKQbnRhNGkGY2GgVpq4iPhhPdI5rCYQQgiMyoQqZwKAIiveh9oUG/pSHJF6qIfg8DsXYrsBZlfsNWeCIx2O8O+3MGbac8wG1BNQ+jLvtBB4S0TQhCeNAGxfy5zw/LEk+GmifDYESC5OTC7K5aXmctQwiOHIrrdO3Q0OjUDpoyn6n2Tb5tiU7ELkl1JEheGDgjxgNGzFNau3Ty7nQtTBpsvDwBgUdB9B5D46GOEy8cCAJIbN4O2tKS0mLOU7icBBf18B5IfZSNUMQEI5cLIzUHuWaei5bd/Aq05CPEQTE8SRw9nb5fasjb69oZRwD/pEJk4FrE3vGt0B5tRV17cHng4DCOvM8z+vZH3rfGARZHYsg1WTS1ITjbCZcelNRShEWWIvvKGfZoZdlsP4Q55EZDCAmSfdSqIYSC28j3E31juNmClWY9/W3k4yazjH33q2xuRay5HfN0mJHfvBQmFECobCLN/H1vHJoxG/IN1sKoPuDe3sRhIoviCRjA4xYszEBpdu4Du2y+kVszGYD9aZn26BUjmA8jTpnV1ziAgnYukeCl9Xp7ddxL2rKyUJHBhaB/ynYtAwGuN9fkOxP72PLIu+LYvXdokv8kMAErZJdtE0m6rtj7I1NgIelDeDiGq780tiD39HCKhhTDL+Ff/Gnm5iBw/FbE3Vsp+D0ltA82bDRIOIf7KUpif2FsNoRCQM2MiQmNGAADMnqXI/9H3EF+3EeamL2BU2wfjCs6dxDu4KSRSK4uEehfsODie1GO82YSi1GVPBbBQS+2TNnItbT5Jfp47HgBA8uNPoIaP82RRUOa0/dGOwGi3M0JDhyC50Xu72GhDeH+uQWAOV+9LhSeNR/KzbUh+9rmUBxT2AK5ZbpX4GD0csZXv2TN39kYlklpQCplAOAI0NbvLasolUqIcz7gEoYH9kHPR2UjuqUYy5SiY/Xoj/sKruncWuUh+uA7h8rGgDY2gNSoDL94tnMr39kokV61BZMkFMLp1RfKj9UDNQWHg9mol1i1r9nSJl3D5WMTe/wio8QZR9rAu6VmKnIvPQ/aHuxDeUweYpr38ahKEy45LU1MeJDsLWXMrEX1pKTNzd2OBUAi5F57tLhWbA/shvtRLM8JosS81YSuWFYFR2tXeYpiovmeZZEWQu+RctLz8BhLrP2H2uG3MM+pggTkcRgiMnt1Bq/e6aXIFZ1I0lh68LaL+JAaDUPvRRUUys3f6/UZiEBi9e8JynVHx3dEiXQpry1ZYu/fCUDi5DoxOhUgyYjg/dAA11OTfKpedDaR5XIhGo6B79oDG4iBZEdDYgLSnlalwaK6QJLGP2uXMNuvwpuI59vjrb8EYcpy09B+ZMQkkEkH0rXeBFs8BNLp1RfYZJ4FYScT+5zEgEU+tZAGIx5F8+x1Ym7cisvg8kKwISCSMyITRyD1uMMKrbVmrDDYA0AM17gDBOo/h1ETAO8BpC9jZIvQOoQHuqlhOFrIvPhckj5mJa17XLB4MnWgIs/Hw0XdKXIfAaLczzBFlIMtW2odJVM+DEgORKROVeUnIRPZ5ZyG++kPE33vfPlBDCMwhxyEyfRLMPpkfpCCRCHIWn4uWvz4La081v1TaqQDZ554Jo6QY1v4axP7+D9DdeyUand3bzqi3t+rsmaasuVHaFdkLT7PrXlriPocNADHmpHKYnQ0y353TzNSdkQOqWVmF0YidNMInaW5B/C9PI3LlZUi8/xGX10gdAOQNIgFyspG9YB7M/vJVtSQ7C7mXnI/oP/6J5CdbvAjDgDl+NLJmTob1xjIk/v0ZkjF7tSS2fy1CM6fD6NNLopcO4fJxQCSC2Jsr3G0RADD690bWKXPs5eIUzJ7dbYP15Vfei0S46RhBuHw89zSCDiQ3BzkLT4M173gkt+9A7NmX3NkrIfbLOlxQivDUiYi99iYQt7dbupEEphj1KIR6L5z3AO0fOcTC98xq7KQRvJTs5MVRIDygN6wP1wLJJBKFYSSjw2BMGAsSkoczs28v0JpaoMFeTk67WE0Ikp9s9jXaoXGjEH9nlfu7E0nyr2slBOEJY/SPI1KK5L9WI/nGMlgtxXBOA8Tu+jdCc0+AOXGcnj+hjicbB/EvWoAxRhN6krjSaNN9+0H3VIMIdSKEIDJ5PMITRyO5fYe9fdalM4we3QBKEb33Ifswp8ILp1/tRuLN5QifPEfPqwIkN9ftu2EDmE3rkIT9LgXO1XbfOMjfY09h91UTFKS5Aag5CHTp7NHv3s1+Rj2l85eEqpGgBNmMszbZaMQE4dG50PCyVtWjPREY7XYGCYWQvehctPzf06D7DnDGEpEwsr+9AEa3rj75TUSmTEBkygTQRNLeKz7EfTSjUxFyLl8E6/Od9uMylgWzby+YgwZ4M7huXWF0L0Vyb7XbMS4I7UcLiHcYiwCkWxdE5s1BfM1a0AMHQfJyERozHKFhQ/SHYzoVuTP9CKE400x1bmYWRzqllkW5cYTgRKMWr1uFKEASk40GDCUtvNEG7P3lmoOwtmwFrW+As3zuvHfZ2ZN1XyqSnY2ca7+v5RcAjPw85HznTPd5XRgGzH69AWoh/qdH7QEq0QmOaaNbtiL+2VaEzlkIs0x9UtwP4TEjEBo1HNaXu0Gj9hkFgxm0WGSdfQZaHv4rfzo65TyZgwciXDmtVWUb+XkwRg6FkZONlr88Y+uoc4gt5ZyFJk+AOWIoQrv3IvHOe+6APyH1licH3MEjTl29lY4wnJdspJwOShEKEWD7diBhGyBaV4/Ey/8EWb8R4YvOlZ0Qw0RozHCYdXtBtq0FmjzHcARpxueIuJfuuPKJq08muyS7FiM8tRzxd1fLkalT1eFpFdr81qo1SL7GvmkwJcNYDIl/vAKEQjDHjlLmJSXF9qwwxWMRsTCP1LoOWReSwAEa4s46AADVvKMBsMeg0KABXFhy82eA34uQKEVyzYcInTALJBKGtWcvEiurkPykFiAECeyEOXE8SOdOXDZzzAhYO3e5v4ebLYxPYN/vB8OAmRMGmpokh4HAvgvCftkLQbLqA5jHebyHJ45D8v217u8c4pzl0FWeADk5CI09Ou7uyASB0T4KYHQqQs73L0Fyy1Ykt2wDkkkYPbsjNGqYd+gqA/gZl4xpEAKzfx/lzNJBaMIYJD9c5/7mZhkphMvHIzSwH0ID+2VcdmjCWMSYffVewl3XoBShCWNsPrnHaSjKjBYMIS3u1YiAvEQOwL7A5POdIIUFoPX1IATIBsXA1GlVAsAk9uEcEm2ylw197j92yXYq9C60ABB/8VVuKZCtAyiQePYFGNdcqZzp0sZGJP+1Csl3dtiDcySChPkVzMnlILm5IAaB2Tv9fflGUQFyLl+MxEcbkPhoPWhTM0iXzghPHAOzbJD+1HUamMf1R84PLkb8vfftcwWJBMye3RGaNN528FLnLRJrPrLlp5ipTTYa0GgZ3NMDI4xmrKF5tsGh9vugQ0im3goGhJAAEprZ646dSL79DkJzKhWCMBEaVobsM6Ygetf9qVepAgONKM4n+1HILp1aFki3EpmGgPCJlSAFBYit/Ld3UpkQmMPLkHXyCdptKRpPIPHm2760E0vfgjF6hLJ9iGHA7N+He9yMndCfadbgC5qFgcLtfaQo/RkAjs9dXykP27Fv5kI8DnrgAKydu5B88RVQZAFxu19a7/4b1r9XIXTOQhhDvP300JgRSPxrte1IOk/MpPinICBFBQiXj4P1+pvMZokgA5dJCio85mv07I7QrKlIvP2u66BKW3aEuHUj+XnIvvBs7XL+0YjAaB8lIAZBaMhxCA1p3V5ne8Ds0wvmxLFIVn0oRxICo08vhMapZwq+dEeUwVjzIazPdyq3Cox+fWCmlrFIfp7txTOzSCLc8jXNaMDuZFi+zY0AofFjkNi1y31McwCJYhuy2CQAgOQHHyE0Y2qr6kFjMXv51m9zvyUK6+NPYI7hPXx6sBbxPz4CNDQA8VI7MBaDtfwdWB+uRfi7i0AKVfdvq0GyIghXjEO4wmfJ9RBgdOmMrJNPAE4+QV1uQT6yLz4P0aeeA63eDxiG+/IFAnsG5D5fnloezycWLjX3wgR1DbVAVc8QpUiuXgOzcrpymRygMCIRmOPGILn6fbdtOosOZ3Y2zGHpl0oJIQhPmYhQxThYX+0BEgn7OtQ0Dp61dRvQIl9uw6G+AfSLHSD91Q6v0au77czttLeo2AuDcghFGWuwCQHp06v1z4ybJqe/Jxm1+JDmotLgZ990334kX3wl9YNpM0rt7Ysn/4bwVd93dZZEIsha/B3E/vYCrC92MhabwuzVHZFvL0Di/55kS3C/TTYbEAbl3niHLNnYRo6fAaOkK+LvvAf6lX3AzCjuBCO/P4hpwiT1CBUZMAf2h+mz8ne0IjDaAQ4JkVNOQqK4C+LvvOc9YhGJIDRxLMLH6wZOfxDTRNb5ZyP++jJ7zzm1b4pQCKHxoxE+qRLE9DqYOWwIEh+uA4nxR1QAe3jvRJK42NzH7+VaFowB/UD69AJefNk1A+LrFx3QXV8qw/1Aa+vcU94AkK+6Hc0wQKurpeDEsy8AjQ2ywacUqK9H4vmXEL7wO63mqT1glHRF9vcvgfX5Tli7voRVvR/WB2vlhEz7hAi4y3l4yMcfuTvKW6KgB2tBuvKvNWURPn4GrG3b7a0o7nlke+c0ctb8Vt03TUwzo0NxLpr4g6Z9SAw7aIQ3tEidUNeXCqN/X2SfMwnJjzYguW076NbtimT2KfDIvNbtOwOAMfg44A1vRaDMaEGZ+HKQokJYmz5N8/ibhWTVBwjNnuXRLixA9sXnw/pqD5Lb7QuizH59YKQe0WNPx+cw7VsuHh4DYI4eoSw2NHIYQiOHgbZE7XbOzoK51D7wGx40ElkDuijzdQQERjvAIYEYBOEp5QhVTADdvx+wKEhx54wONvnSjYQROfVEhGfPsGcwsJe8xEeiKGA7CRPGIlw8FPE1HwIHa0EtC0aUfXaZJU5AunSGMaA/QOylRmewGURasI7kohcRTp8ewhKyKINpRj1iMDCMfYUhpdKJVVq9D3S7/pY7WBR0y1bQAzUgmn3sow3idkuiRyniry71nvmlFO5NZ85ypvAokAonGHVYS3MwXXjlZLolf5KTjaxLLkRi5XtIrPnAfiMXITCGDEJ4xlQYvVr3mt7Wwj2TkcIpxkF8TiPoL74wp1OntLSMwgIYMyYjPGMykps+Rfz1Ze6lQQBAevdEZN4c1xi2BkaPUpAB/Wx91KwYhaZPgbXsbf+rQSkF3boNYIw2W4bRo1TOk5PjngIvJglMN+rkx1kBoLAQ5mj/vWhn3KD794Pu2AlYSdCsZtB+nQ55e6i9ERjtAF8LxDQy2gNsNd2cbJh+++Gp5TcYBkLl4xAqt5d/qUURf/4lWB+ug7SZlZ+H8Plnuwf1yHEDQLdstffKCXA28zy5A+M49atffVFUCFLaDXSPvXyZQyhOMQ9K/BvCMqz1Ff/cusuDsApAv9rdYYy2iNCkCTCHlyHx4Tp7tpsVgTG8DGiJIrn6ffvFIw3iu58deKZ8uNGM4RBmo5072X9pQLKzEZ4zC6HZM4FoFAiHDmll6FBA+vUFigrtQ17UftPUYNZgEwJS0hVEZcx8YA4dAqNsMOjuvaDNzSBFhTCKv95sMvLtBYg9+iToV7u9vpRydM2pk2CWj4PFXP/cDXEUkQQKxK2NVr4a1hw7Csnl77iXCY0zmvi+TAhQWIDIkvPT3m9AozFYzz4HbNwEJHoCBKCfr4O1+i0YZ58F0ld/dudoRWC0A3Qo0OYW0HffBX1nK2jUHkSSDRthzJgGUlJirwAsOBXWqOFIVn0AWr3P3qccORzmuFEg2d4eWGjqZMQ3a66jTJ0qNUYNbzWPhBCYlTOQePIZLW0yeBAMwdlhl/4B4CxzP1ZYhZgl7CPC7Fh7cCJIQT7CM6ZI4aHUPdWxO3+l2ffVXLLh5J8+JaNrSF0+DPuRviMJYhCETz8F8f970q4Ga9BSB6RC8+dJ9aCWBfrBR7De/hB0v+2sJmvXw5g2BaRHj1R20mpj78trbi4ily6C9elnSK7/GGhuASnuDHPCWBil9ul90q8f6Cef2oacABea+4SHAQjIgP6tKtesmIBk1QdAcxOI5bysxzPYpHMnhL//PRjpnoOnFNaTTwFbtzkh3g5LfT2sRx6Dcfn3QEraftJxOBEY7QAdBrSpCdaf/gwcOADEiwGE7aW59ethffwxjEUXgvSxb/IyBw2EOch/lmwM6IfQqfOQePlV2C44M4BmZyN80XdadXqfhTmsDDh1LhKvvA7upQSWBXLcAITPOkPKQ/r34/YHe5E4zhVeQ4mQac/WjmGQRMLn+h4BqUfNzOlTYEwYe7hZaxMYgwYivOg8JP75BuiX3uoK6d0ToblzpGf4qWXBevJvwKZNAM0HUABYSWDDx7A2fAzjnLNBhh6e54yJYcAcOhim4sUfAGBOrkBi4yavbmKTEQJz4ni0BiQ/D+FLLkTiqb+D7t7LvcmQDByA8MLTMzt38MUXwGdb1XGUApYFa8U7ML+1oFX8tTcCox2gw8B6faltsMXlNssCKIX19DMwfnRlq/aqzPLxMAb2R3LNB7B2fWk/IztkMIwxI7lZ+aHALJ8AY9hQJD9aB3rgAEhWFowRw2D0Uh9cInm5MMaPhbXmA+2SojFxQod6POWQYHjHCp0zBp1TbxVz7k9Hbi5I9+4gXYthThjnexnK0QhjQD9ELrsY1r79QEOjfS++ZsuDrq6yDTbA30+Qcu6sp5+Bce3VIDmZ3X7YljD69YE5d4793Dl7IC3VB0NnLZD28TOiW9wF4csvAd25C9aOL0EMAnLcABgl+jsrRNB1G9IeksP6DaALTu9Q+9uB0Q7QIUCbW4C16/T7Y5Ta+4RbtgBDhqjTaECKuyB0kvrRpa8Lkp+H0LTM38trnnwiaH096CebvdvknGdKhw+FeeLsw8Ln0QTSuzew7XNQCkSIhf8wdztX09j7+4TAmDgW5gk+sqDUvoRl82b77MPBAqB/AZCfr8/TDjC6FgM+p90ppaD/fs+fSCIB+uFHIFPa5/3P5pRJIH16I7mqyj64ZhAYgwfBrJgI0gojK4IQAtKnN4w+vQ+NQLP6jvie7GHTpHNH/NH7Vi8RgdEO0DFwYL/dwVLIIRakp7QMA3T3HpBWGu2jCSQUQug7Z4N+vgPWh2vtC2AKC2CMHQPSt3er9mw7KoxJFbC2bXfPHkXYC3NSF5cbE3yWXJubgb/+1V4eTaSWmqu3ARtXAKecAkxUXwt8VCKeYF6iIzzi5oAQ4MuvjiBTMozevWD0bv3VvIcVnfmViyXmXhyEyT8hkpPToe4dBwKjHaCjIMR3rDlGLV5HEcYT4ZWfR+gU8OEEIQSkf18Y/Y/tvWsdSNkQkMmTQP/9nn1YzJktpd7tbCw4Xf9IFKXAk08CO3Z4vwHbwbMs4MUXgcLCVq/GtBuEZdtRpAlbSTYGCBeodPTDiYcDZPxY0BUr3d+FJMnffkcIyMQJHc4R7jgL+QG+2SgpsR+VSaGQJHGWeQADDOaUMaUdepYdwAYhBMbcE2Gc+22gfz/79ZZZWSAjhsP87sUwxqjfSAYA2LXLXhbXbaMQAixfro47CkFCJjCgv3uQMUIozjb382+psiyQwYPUBL7BIF26gMyaqYkkQJcuINNad9vh0YCOPy0J8I0AMQjIzJmg/3hRk4AAQ8t8b8MK0HFACAEZWgajtaeiN23yP3xEKbBzJ9DYCOSlv1P+aIAxfRqsbds1kQQoKgIO0+nxjg5y/CygsBB0+XLAea2paQKjR8E4aU6HPNQZGO0AHQZk/Digrg707eXeI1SE2AP0gP4wFsiPUQX4hkF4Q1cJiaOahjGcNPmmO5pBBh0HcurJoC+/agc4jxBSChQUwrjwAukZ/wA2CCEgE8eDjh8HVO+1D511Ke6QxtpBYLQDdBgQQkCOrwQdMxr0gw+BmhogOwdk1Aigb98OtzcV4DCgWzduln2uWY16mPyLQbKyjrpT5OlgVJSDDh4EuuZ90N17gHAYZGgZyPDhrbor/ZsKYhCgtO0unmlPBK0doMOBdOkC4ve4T4BvLkaOBF57zb27OkSAzsLhI0yY0CEPLJLOnUHmHJ5HEwN0HHSYg2ixWAxXXXUVJkyYgAkTJuDKK69ELBbzzUMpxe23347x48ejoqICF1xwAWpra6V0zzzzDI4//nhUVlZi0KBBmD9/flraAQIEOAqRlQV861u2cRZXXkhqtjVLfnlFgAAdBR3GaF977bXYsGEDVq1ahVWrVmHjxo247rrrfPPce++9eOqpp7By5UqsWrUKkUgEF110EZfmySefxJ133olnn30Wy5Ytw/Lly7F8+fLAaAcI0FExdChw8cXA4MGe4c7NBWbOBJYssQ17gAAdFITSVr6CpR2wf/9+9OjRA88//zxOPvlkAMDLL7+MBQsWYPfu3ejSRX6bTTKZRI8ePXDbbbfhP/7jPwAAH3/8MUaMGIF169Zh5MiRSCaT6NOnD/73f/8X8+bNc/O+++67mDRpEswMD3fU1dWhqKgItbW1KCwsTJ8hQIAARwbxuH34KCvrkF6zGiBAa3AkbEGH0OLly5cjHo+jvLzcDSsvL0c8HsdyzTOXa9euRXV1NZdn2LBhyMvLw9KlSwHYxnn37t2YOZN/lm/q1KkZG+wAAQIcxQiH7VuvAoMd4BhBh9DkrVu3IhQKoWtX7x7bkpISmKaJrVvVb3Fxwrt3914ATwhBaWmpG7du3Tp06tQJr7/+OubMmYOpU6fiwgsvxPbt2335iUajqKur4/4CBAgQIECAw40OYbSbmpoQUVzoHolE0NTUpMgBNzxL2L/Kyspy42pqalBXV4cHHngAzz//PN555x2UlpZiypQpygNrDu68804UFRW5f336dLwXqQcIECBAgI6HdjXat956q/3src9fVVUVcnNzlQfDYrEYcnNzlbSd8Gg0yoVHo1E3zjAMJJNJ3HDDDcjLywMhBLfffjv27duHv/71r1q+b7zxRtTW1rp/O5x7jgMECBAgQIDDiHZ9WPHaa6/F5Zdf7puma9eu2LFjBxKJBPbt2+cukVdXVyOZTGLgwIHKfE747t270bu3/Wo3Sin27NnjxjkzZCcesI19165dsW3bNi1PWVlZ3AzeOcsXLJMHCBAgwDcXjg04nOe729Vo5+fnIz+Dm4lmzpyJcDiMqqoq95R3VVUVwuGwdIjMwejRo1FSUoKqqipMTL2Kb9OmTWhsbMScOXMAADNmzAAAfPXVVygrs+/ujcfjOHDgAPr2zfwNS/X19QAQLJMHCBAgQADU19ejqKjosNDuEI98AcCVV16JTZs24ZVXXgEhBCeffDLKyspw//33A7Bn3uPHj8fvfvc7nHrqqQCAe+65B3/+85/x3nvvITc3F9/97nexd+9evPDCCy7d73znO4hGo3j66adhmiZ+/etf4+c//zk2btyI4uLMXj5hWRa+/PJLFBQUHPJVmnV1dejTpw927NgRPDamQCAffwTy0SOQjT8C+fijNfKhlKK+vh49e/aEcZieWOgwd/nddddduO6661BRUQHAfizrrrvucuMty0JzczPizIsArr76ajQ0NGDatGkIh8MYPHgwHn30UY7uH//4R/z4xz/G+PHjUVRUhPz8fCxbtixjgw3Ye+PsEvvXQWFhYdBxfBDIxx+BfPQIZOOPQD7+yFQ+h2uG7aDDzLSPdQQXtPgjkI8/AvnoEcjGH4F8/HG0yadDPPIVIECAAAECBAiM9lGDrKws3HLLLdJz5QFsBPLxRyAfPQLZ+COQjz+ONvkEy+MBAgQIECBAB0Ew0w4QIECAAAE6CAKjHSBAgAABAnQQBEY7QIAAAQIE6CAIjPZRgmeffRYTJ07EjBkzMGvWLGzYsKG9WWpT3HrrrRg7diwqKyvdvzPOOINL8z//8z8YP348pk2bhlNPPRW7du3i4imluP322zF+/HhUVFTgggsukF7sEovFcNVVV2HChAmYMGECrrzySuW99UcDYrEYbrzxRoRCIeWb5Y6UPGpra3HhhReioqIC48ePx2233XZYr2HMFH7yWbx4MSZPnszp02WXXcalOZbl89RTT+Gkk07CCSecgPLycpx11lnSGw+/yfqTTj4dWn9ogHbHe++9R/Pz8+mmTZsopZQ+8sgjtFevXrSurq6dOWs73HLLLfStt97Sxj/zzDO0tLSU7tmzh1JK6W233UbHjh1Lk8mkm+buu++mI0aMoI2NjZRSSpcsWUJPP/10js4VV1xBTzjhBJpIJGgikaBz5syhV155ZdtX6Gti27ZtdPLkyfSiiy6iAOi2bdu4+CMpj/nz59PFixdTSiltbGykI0aMoPfcc09bV7lVSCefRYsWSWEijmX5hMNh+tprr1FKKU0mk3TRokV08ODBtLm5mVIa6E86+XRk/QmM9lGAb33rW/Tb3/62+zuZTNLS0lL6m9/8ph25alukM9rjx4+n119/vfv74MGDNBQK0X/84x+UUkoTiQQtKSmhv/3tb900GzZsoADounXrKKWU7tu3j4bDYfryyy+7aV566SUaDofp/v3727hGXw/r1q2jmzdvpm+99ZbSKB0peaxdu5YCoB9//LGb5sEHH6TdunXjBvgjjXTySTfoHuvyWbhwIfd79erVFAB95513KKWB/qSTT0fWn2B5/CjAG2+8gfLycve3YRiYMGECli5d2o5cHTnU1NTg/fff52RQVFSEIUOGuDJYu3YtqquruTTDhg1DXl6em2b58uWIx+NcmvLycsTjcSxfvvwI1SYzjBw5EoMGDVLGHUl5LF26FPn5+Rg2bBiXZu/evVi7dm3bVbiV8JNPJjjW5fP0009zv7OzswHYy7WB/vjLJxMczfIJjHY7Y//+/aitrUX37t258O7du0t7VB0d//u//4vKykpMmzYNixYtwmeffQYAbj39ZKBKQwhBaWkplyYUCrmvbwWAkpISmKbZoWR5JOWxdetWlJaWSuWwZRytuPPOO1FZWYnp06fjBz/4Afbs2ePGfdPk869//Qs9e/bEtGnTAv1RgJWPg46qP4HRbmc0NTUBgHTbTlZWlht3LKBv374YN24cli5dihUrVmDAgAGYMGECdu3alZEMMk0TiUSksiORSIeS5ZGUR1NTk5IGW8bRiCFDhmDmzJl488038eabbyIajWLy5MloaGgA8M2STzQaxV133YX7778f4XA40B8BonyAjq0/gdFuZ+Tm5gKwFYtFNBp1444FXHzxxbj66qsRCoVgGAb+8z//E9nZ2fjtb3+bkQwyTaNa/orFYh1KlkdSHrm5uUoabBlHI37605/i/PPPh2EYiEQiuOeee/DFF1/gr3/9K4Bvlnwuu+wyLFy4EGeddRaAQH9EiPIBOrb+BEa7nVFcXIyioiLs3r2bC9+9ezcGDhzYTlwdfpimif79++Ozzz5z6+knA1UaSin27NnDpUkkEti3b5+bprq6GslkskPJ8kjKY+DAgdyyIEuzI8mssLAQJSUl7pbLN0U+N9xwA0KhEH7+85+7YYH+eFDJR4WOpD+B0T4KMHv2bFRVVbm/KaV4//33MWfOnHbkqm1x1VVXSWFffvkl+vTpg86dO2PcuHGcDOrq6vDpp5+6Mhg9ejRKSkq4NJs2bUJjY6ObZubMmQiHw1yaqqoqhMNhzJw583BVrc1xJOVxwgknoKGhAZs2beLSdOvWDaNHjz6s9fw6EPUpGo1i//796NOnD4Bvhnx++ctfYvv27fj9738PQgjWrFmDNWvWBPqTgk4+QAfXn0M6cx6gTfHee+/RgoIC+sknn1BKKX3ssceOuee0+/fvT59//nn39x/+8AealZXlPgrxzDPP0O7du9O9e/dSSim94447lM+Vjhw50n1u8pJLLqHz58/nyrniiivoiSeeSBOJBE0mk/Skk06iV1xxxeGu3iFD90jTkZTH/Pnz6cUXX0wppbSpqYmOGjWK3n333W1d1UOCTj6RSISuXr3a/f2zn/2MFhcXu88lU3psy+ehhx6iI0aMoO+++y5dvXo1Xb16Nb3lllvon//8Z0ppoD/p5NOR9Scw2kcJ/v73v9MJEybQ6dOn05kzZ9L169e3N0ttiscff5wef/zxtLKykk6ZMoXOmjWLLl++nEvz0EMP0XHjxtEpU6bQU045he7YsYOLtyzLvSSivLycnnfeebSmpoZL09LSQq+44go6fvx4On78ePrDH/6QtrS0HO7qtRrRaJTOmjWLjhkzhgKgkyZNkp4tPVLyqKmpoeeffz4tLy+nY8eOpbfeeiu1LOuw1DtTpJPP/fffT6dPn04rKytpRUUFPeWUU+jatWs5GseqfOrq6qhhGBSA9OcYJUq/ufqTiXw6sv4Er+YMECBAgAABOgiCPe0AAQIECBCggyAw2gECBAgQIEAHQWC0AwQIECBAgA6CwGgHCBAgQIAAHQSB0Q4QIECAAAE6CAKjHSBAgAABAnQQBEY7QIAAAQIE6CAIjHaAbwT69++PyspKVFZWYvLkySCEYOzYsW5Yp06dsH379vZms02xcuVKt66Hs25/+ctfMHbsWEyePBkTJ07k7mI+VDz33HN47rnnvj5zXxNnnnkm7rvvvq9F47vf/S66d++OxYsXtwlPAb7ZCLU3AwECHCksW7YMALB9+3YMGDAA9913HyorKwHA/TyWMH36dDzxxBMYMGDAYSsjGo3i4osvxquvvorKykr86U9/ahO6jsFesGBBm9A7VPTv3196H3Jr8cc//jEw2AHaDIHRDvCNwI9+9CPf+MWLF6NTp05HhJdjCbt370Y0GkX//v0BAJdcckn7MtTGuPfee9ubhQABOATL4wG+EcjEaO/btw+VlZUghOCPf/wjFi5ciFGjRrnG/Omnn8bUqVNx/PHHo6KiAj/+8Y/dd+M2NDSgsrIS2dnZ+O///m9ceOGFKC8vx5QpU7Bt2za3nK1bt2LevHmYOXMmpk+fjm9/+9v45JNP3PhVq1ZhxowZmDRpEioqKnDuuedi48aNbvyrr76KiooKTJo0CaNHj8YDDzzA1eOTTz7BtGnTMGrUKJx22mlYtWqVVNevvvoKCxcuxMSJEzF9+nQsWrQIBw4cAAD87W9/w9ixY0EIwUsvvYT58+ejZ8+eyhnvypUrcc455wAAzj33XFRWVrqvHXz44Ycxbtw4zJgxA1OnTsWzzz7r5qupqcGSJUtQUVGBWbNmYcaMGXjnnXfc+Ouvvx6vvvqqO3s/44wz8OGHH0pL/TfeeCO37My2wV133YULL7wQFRUVIITg4MGDAOw3P40dOxazZs3CrFmzsGLFCq1OXH/99e62CgBs2bLF1Y8//OEPOPvsszFmzBjMmzfPlZ+DO+64A/369UNlZSWuv/56WJYl0dfJ6O2338bw4cNBCMHpp58OAJg/fz7y8/Nx/vnna/kN8A3BId9aHiBAB8W2bdsoAPrWW28p4wHQuXPn0paWFppMJunUqVMppZSeddZZ7pvKYrEYnTdvHr3tttu4vP369aPl5eW0vr6eUkrpmWeeSS+66CI3/uSTT6b/+Z//SSm1X0hwwQUXuC8x2Lt3Ly0qKqKPP/44pZTSeDxO582bR++9915KKaUbNmyg4XCYrlixglJK6Y4dO2hJSYmbPplM0mHDhtEf/vCHlFJKE4kEPffcc6W3ZE2ePJn+5Cc/cXn43ve+R+fOnevGO2/WuuWWWyillG7ZsoWed955vrJk6b/88su0uLjYfUHFp59+SnNzc+m7775LKaV03bp1tKKigsZiMUoppcuXL6fFxcXcyxgWLVpEFy1alLYsVbp+/frRsWPHuvROOukkevDgQfrb3/6WlpWVueErVqyg2dnZdPv27cq6UUrpLbfcQmfNmsWFAaDz58+n8XicJhIJOnHiRHrzzTe78X/5y19oYWEh/eyzzyillP773/+mBQUFHJ/pZHTw4EHas2dPev3111NK7TdOPfDAA1o+A3xzEBjtAN84ZGK0H374YWU+9tWGv/vd7+jkyZO5NP369aN33HGH+/vXv/41HT16tPt79OjR9OKLL3bpfP755+7AffPNN9M+ffpwbwBasWIFffXVVymllF500UV02rRpXHlXXXUVHT58OKWU0ldffZUCoFu3bnXjly5dyhm6N954gwKg1dXVbprVq1dTAHTLli2UUs9o+xkzViaiIZ0xYwb9wQ9+wKU79dRT6QUXXEAppbS5uZnu2rWLi+/evbtbT0q/vtG+9dZbJV779OlD77rrLi5sxIgR9Gc/+5m2fjqj/dhjj7m/r776anr66ae7vydPnsw5apRSOn36dI7PdDKilNJnn32WmqZJH374YTpnzpx2f/NagKMDwZ52gAAK9O7dWwprbGzE+eefj88//xyRSMTdzxXRo0cP93tBQQHq6urc37fddhsuvPBCvP766zj33HNx6aWXYtCgQQCA9evX47jjjgMhxE0/ffp09/v69esxevRorqxBgwbhwQcfRDwex6ZNm2CaJvr16+fG9+3bl0u/fv16GIaBhQsXumGJRAL9+vXDV199heOOO85XBplg/fr12LVrF3e4b9++fcjOzgYARCIRPPHEE+5hM8MwUFNT4y6ttwVE3uvr67Fjxw78+c9/xosvvuiGJxIJ1NfXt5q+Xxtv2rQJ8+bN49Kr2sFPRoB9CG/BggVYvHgx1q9fz+lFgG8uAqMdIIACpmlyvxsaGjB79mycc845ePzxx2EYBh5++GHceuutvnkJIaDM228XLFiAnTt34oknnsAf//hH3Hffffjb3/6G008/nUunwteNZ/HGG29IdRSRLl4HQgguuOAC3Hbbbcr4u+++Gz//+c9RVVXlOiz9+/dPy7/KaCWTSSWfYphD+9prr8WSJUsyqocf/NpYx6sY7ycjB2PHjsULL7yAV199FSNGjDh0hgMcMwgOogUIkAE2bdqEvXv34uyzz4Zh2N0mFou1ms7f/vY3FBUV4bLLLsPq1auxYMEC/OEPfwAAjBo1Cp999hmXvqqqCi+//LIbv3nzZi5+y5YtKCsrQzgcxvDhw5FMJvH555+78V988QWXftSoUbAsS6LzH//xH9i/f3+r66PCyJEjucN1APDWW2/hoYceAmAftJowYYJrsAFZlo6MAaCpqQnJZBIFBQUAbAfKwa5duzLiqbCwEH379pX4evLJJ/HMM89kRCNTDBs2TGpHsR3SyQgANm/ejH//+9/4/e9/j5tvvhlbt25tUz4DdEwERjtAgAwwcOBA5OTkYOnSpQDsGd7zzz/fajo/+clP8PHHH7u/k8kkysrKAAA//OEPUVdXhyeeeAKAbciuueYahMNhN++qVauwcuVKAMDOnTvxl7/8BTfddBMAYM6cORg2bBjuuecelzZrBADg+OOPx9SpU/Ff//Vf7onmp59+Gps2bUJxcXGr66PCTTfdhBdeeAEfffQRAHtb4ac//SmGDh0KABgxYgTWrl2L6upqAMC7776Lr776iqNRUlKCmpoaAMDChQuxadMmdOnSBX379nVPmm/atAkffvhhq/h65JFHXANaXV2N2267DSNHjvxa9RVx5ZVX4rnnnnON7OrVq6VT/OlkRCnFj370I9x///1YvHgxpk6dissuu6xN+QzQQdF+2+kBAhx5vPLKK3TSpEkUAB0zZgz9zW9+48Z99dVXdNasWW7cTTfdxOV99tln6ZAhQ2hFRQVdsGABXbJkCc3KyqKzZ8+mlFI6a9YsmpWVRcvKyujjjz9On3jiCVpWVsalue+++2h5eTmdNWsWnTRpEl2yZIl70pxSSt977z06ffp0WlFRQSdPnkwfeughjoeXX36ZTpw4kVZUVNCRI0fS+++/n4vftGkTnTp1Kh0xYgQ98cQT6R/+8AcKgE6aNMk9db579256zjnn0GHDhtHKykp6zjnn0D179rjyGTNmDAVAZ82aRZ9++mmtLFesWOHKctKkSfSGG25w4x577DE6atQoOmXKFDpt2jT6f//3f25cbW0tPffcc2m/fv3oaaedRn/0ox/R7t2707KyMvroo49SSinduHEjHTlyJJ0+fTp3OOvll1+mZWVldObMmfTaa6+lF1xwAS0tLaWXXHKJ1AZOGIu7776bDhs2jE6fPp3OmjWLvvbaa9r6XXfddbRfv360qKiInnrqqZJ+vPHGG/S+++5z07An7O+44w7at29fOnPmTHrZZZfRc889l+PTT0abN2+mFRUVtLi4mP72t7+lW7dupcOHD3flzB40DPDNA6G0FRthAQIECBAgQIB2Q7A8HiBAgAABAnQQBEY7QIAAAQIE6CAIjHaAAAECBAjQQRAY7QABAgQIEKCDIDDaAQIECBAgQAdBYLQDBAgQIECADoLAaAcIECBAgAAdBIHRDhAgQIAAAToIAqMdIECAAAECdBAERjtAgAABAgToIAiMdoAAAQIECNBBEBjtAAECBAgQoIPg/wPlmiW3QW7vNQAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8b8b'>14921</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.055</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>18204</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.068</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8e8e'>18585</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.053</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>14717</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.067</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8e8e'>5319</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.053</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>22150</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.059</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8e8e'>24054</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.052</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>14928</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.059</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8f8f'>13848</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.052</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>20694</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.058</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9191'>9285</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.050</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>13682</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.056</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9191'>13850</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.050</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>13307</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.056</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[4][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 250,\n   \"id\": \"f9979975-eeaa-4a46-a587-d6b4e21a91b2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>&nbsp;Merry</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.128</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;discrepancy</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.816</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>ullivan</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.110</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>&nbsp;discrepancies</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.096</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 18204, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 251,\n   \"id\": \"3d4147dc-7d86-42eb-a248-ef7876312166\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>Medic</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.575</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;velocity</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.048</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb1b1'>omach</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.447</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;intensity</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.040</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 14717, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"65658aea-42c4-44cf-906f-9542221995d4\",\n   \"metadata\": {},\n   \"source\": [\n    \"Huh -- well this is a *discrepancy* from before!\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 267,\n   \"id\": \"df3c986b-cad6-4c5a-9755-30190ce1b643\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 2.3\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- mlp7tc[671]@-1: 2.2\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- mlp7tc[4539]@-1: 1.6\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- mlp6tc[2484]@-1: 1.5\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- mlp7tc[22763]@-1: 0.93\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- mlp6tc[21424]@-1: 0.92\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- mlp6tc[15970]@-1: 0.89\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- mlp7tc[22967]@-1: 0.87\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- mlp6tc[15333]@-1: 0.8\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- mlp3tc[22544]@-1: 0.73\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- mlp5tc[18278]@-1: 0.72\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- mlp5tc[11803]@-1: 0.7\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- mlp7tc[21728]@-1: 0.64\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 2.3 <- mlp5tc[23882]@-1: 0.27\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- mlp7tc[671]@-1: 2.2 <- mlp6tc[2484]@-1: 0.25\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- mlp7tc[13166]@-1: 2.3 <- mlp5tc[23882]@-1: 0.27 <- mlp1tc[19616]@-1: 0.029\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15, filter=FeatureFilter(token=-1))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 268,\n   \"id\": \"00d40cca-cb70-4835-ae76-fffd1197f07f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcece'>6050</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>19815</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>6583</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b5b5ff'>16150</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>18135</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #babaff'>5452</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fed0d0'>6243</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #bdbdff'>7834</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd0d0'>11945</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c4c4ff'>23078</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fed1d1'>2772</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c4c4ff'>16486</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fed1d1'>16648</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.000</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c9c9ff'>18780</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.001</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[15][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 270,\n   \"id\": \"5a684ef9-1e8a-4097-85f0-653ed6c066dd\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc9c9'>Oracle</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.879</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;length</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.925</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcaca'>chip</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.765</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;lengths</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.600</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 19815, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 273,\n   \"id\": \"a9f9aef5-9bd6-4b65-9803-00eaa10974e0\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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q65557KD4+noYNG0azZs3SjjT17t2brr32Wi29/Px8+t3vfke9evWiUaNG0ZgxY+jZZ58lWZYZuQDQX//6V1q0aBFNmDCBYmNjKTU1lfbu3WvJw0cffURjxoyhfv360ZgxY+iKK65g6AKtk71791JqairFxcXR2LFj6c4776RFixYRAEpJSaEPPvhAo/3xxx/pvPPOoz59+tDYsWNp1qxZtGHDBu39E088wZTviy++SFlZWZSSkkLBwcHUpUsXmjJlika/efNmGjZsGA0fPpzGjBlDv/zyi23dEREVFBTQLbfcQr1796ZRo0bRpEmTtON8RixdupSGDRtGgwYNot69e9Mtt9xCBQUFLZJz4sSJTDs4evQovfLKK0x89YgXkWcX+EUXXUQ9e/aksWPH0rRp0+jrr7+2yLhq1SqaNm0a9e3bl0aNGkXXXHMN5eTkMDRff/01JScn06hRo2jKlCmUkZFBr732Gg0dOlRrb2p7JSLKyMig3/zmN9S7d2/q378/jRkzhjkGWVJSQikpKdSpUyfq1KkTpaSkUF1dHf3pT39i2syyZcuouLiYHnroIRo1ahSNHj2aRo0aRVOnTqVvv/2WkfHmm2+mxMREys/P91l3Am0Hicjg2xQQOA3o27cvZs6ceVZ8kKQtIUkSFi9erF2IIyAgIGAH4WYXEBAQEBDo4BDKXEBAQEBAoINDKHOB0wb1rmnjXdyNjY2nW6zTDvVudsCzwWn27NmnVyABAYEzHmLNXEBAQEBAoINDzMwFBAQEBAQ6OIQyFxAQEBAQ6OAQyrwN8dxzz9l+U/hMQ3Z2NiRJQp8+fTB69Gg8/vjjp1skW/z2t79lvjVuh6KiInTu3Jl7Pecdd9yB0aNHIyEhgfmgy6nA5s2bMWDAAOZSjXMF3377LcaMGYNRo0ZhwIAB+Mtf/nK6RRLwE9nZ2cx3zk8ltm7diilTpmDkyJEYMGAAbrnlllOafofE6T3mfvaB9xnCQLB//3667777aMyYMTRmzBgaMmQITZw4kbmkQ8U777zT4nR8yblnzx668847ady4cZSSkkJDhgyhq6++2vKZycbGRvrss89o7ty5NGbMGBoxYgQNHz6cFi9ezHxaUYV6wYb53yeffGIr5/r16wkA9/OkZtxyyy0EgJKSkmxp1E9m2qGgoICWLFlCs2bNouHDh9PYsWNp5syZtGTJEjp58qTP9M1wuVy0aNEiGjhwIMXExAT0SVZfkGWZnnvuORo6dCiNHDmSRo4cSf/5z3/8irt48WLq3r07tx4kSaIXXnhBo928eTPdfvvt2gUhgwYNotTUVPruu+/8SisvL48iIiLo9ddfJyLPxSltVQbthd27d9PixYupvLz8dItyxiDQzwm3FvX19ZSQkEAPPfQQEXna0YABA9o8na+++opeeumlNud7uiCUeRujtcp88eLFlJiYSBkZGVrY0qVLCYBFobemk/mSc/DgwTRnzhxtQKupqaErr7ySwsLCaPv27Rrdli1bCAC98cYbWlhaWhrFxsbSpEmTyO12M3x9KVke3G43paSk0JVXXtmsMt+2bRv17t2bxo8f32Jl/uKLL1LXrl1p8eLFdOjQIe376pWVlfTRRx/RlClT6B//+Iff8i9fvpx+//vfU3V1NSUlJbXZgPinP/2JunXrRseOHSMiT97DwsKYerDD4sWLud/C3rFjBwUFBTEGy/z582nkyJHaLWlut5seeughcjqdtH79+mbTWr58OQGgQ4cOaWF1dXXNxjudUL/5npWVdbpFOWNwqpV5WloaAaDvv/9eC2uPdjN//vyAx6QzGcLNfoahb9+++Nvf/oYBAwZoYXfffTdiYmJa9NGMlmLJkiXo3LkzAM/nLJ9//nk0NDTg1VdfZehGjRqFO+64Q3tOSUnBH//4R/zyyy9Yv359q2R488030bVrV/zqV7/ySUdEuOeee/D000+jU6dOLUpr4cKFePPNN7F582Y8+uijGDJkiOaOj46OxvXXX48NGzYgLS0NL7/8sl88L730Urz11luWz0q2BpmZmXj++efxwAMPIDk5GQAwYcIEzJ8/H4sWLWr2K3K//vWv8etf/9oS/uabb+KKK67QvgAHeL5d/fe//137wI3T6cTDDz8MWZaxfPnyZmUtLy8HAOY73uL71gLNQbSbFuJ0WxNnEg4fPqzdUZyamkoff/wxzZgxg3r06EFz586lwsJCysjIoCuvvFK749h8b7R5xrt27Vrtbuebb76ZFi9eTBMmTKBu3brRuHHjuPePm+FyuSg0NJRuv/12IiKqqqqy3KWckpLC3AWdkZFB11xzjXZf9ahRo2jhwoWUmZnJldOcnhl1dXUEgC677DItTFEUamxstND+4x//IAD0xRdfMOGBWMElJSXUrVs3OnDggDZbspuZ/+c//6GpU6cSkWcWEejM/Msvv6To6Gg6fPiwbbz8/HxyuVykKApddtllzGzTH7TVzPzZZ58lALRjxw4m/PPPPycA9PnnnwfMs6qqiiIjI2nVqlXN0mZnZxMAeuqpp3zSXXvttcy93ikpKfTKK6/Q/fffr91f/uWXX9LNN99M48aNo6CgILryyiu1+J988gmNHTuWBgwYQL1796bf/OY3jLfq2Wef1e4if+ONN+iuu+6i0aNHU2JioibbsmXLaMaMGZSYmEg33ngjVVdX+5T5/vvvt8is3sU+bdo07TsEe/fupYsvvpiGDRtGADRX7VNPPUUTJ06kcePG0ahRo+iiiy6inTt3MuWckpJCXbp0oaSkJFqzZg1dcMEF1LdvXxo7dixt3bqVkSc9PZ2uvPJKbZlj/PjxtHjxYqqtrdVoGhsb6bHHHqOBAwdq99lfddVVlm8RrFq1iqZPn079+vWjPn360MUXX8zIpuLzzz+nIUOGUK9evWjKlCn0wQcfcGfmiqLQSy+9REOGDKHBgwdTv379aMGCBYxs/pQZrw6M99unpKTQn/70J+39Dz/8QJMnT6b+/ftTUlIS/eY3v9HGNBVffvklXXjhhTRmzBhKSUmhCRMm0KeffsrQTJs2jblbPyUlhe655x7mmwxGD9bMmTO1elNhboP33nsvTZw4kcLCwiglJSUgmX/44QeaMmUKjRkzhkaNGkUXXHAB/fvf/+aWkR2EMucgNTWVunXrpq0fVlZWUnJyMl122WX0//7f/6OmpiZSFIWuvvpq6t+/P+NOtlOSSUlJFBERQa+88goRedY9b731VgoLC6P09HRbWYqLi+l3v/sd9e/f3/LBBTv3V3Z2NsXFxdHNN99MTU1NRES0b98+6ty5s9aJAl0O2LVrFwGgF198sVnae++9l0JDQy0fWejatSv98Y9/pLFjx9LAgQNp9uzZ9Nlnn3F53HHHHXTfffcREflU5pWVlZSYmKgNTIEqc0VRaODAgcyAsX37drrkkkto2LBhdNFFF9HPP//MpL9lyxa69957my0HI5pT5jU1NVRRUdEsn3nz5hEAKisrY8J37txJAOgvf/lLQHIREb3xxhs0cOBAbVnBDjk5OXTJJZfQuHHjqLKyslm+di7rdevWEQAaN26c1vbfeecdTZkvXbqUgoKC6JtvviEij8K6/vrrKT4+nrKzszU+ahsePny4ZoitWLGCANDChQs1wyY3N5eioqK4ywv+ykykt5158+ZphsH8+fO1PhUdHc0sQ3300UcUHR1Nubm5DJ/58+dTdHQ0LViwgBRFIVmW6eqrr6Z+/foxY8nAgQPpkUce0Z43b95MoaGhjGzqB1SOHj1KRES1tbV05ZVXMsrk66+/JofDoS3DKIpCDz30EIWHhzPy/vTTTyRJEv3973/X6B588EGKj4+3tN2FCxdSRESENpkpKCigoUOH0iWXXBJQmfGgtg9zf1fz8dprrxERUVNTE1133XXUs2dPKi0t1ejmzJlDr776qva8b98+io2N1dqTCl9udrMyt6NX2+CAAQO0sli3bp1W/v7InJmZSaGhobRmzRqN74svvhjwEoBQ5hykpqZSbGwsM+u8++67LTOizz77jAAwMwZfynzAgAHMgFlcXEwhISF00003WWQ4efIkDRo0iCRJoqlTp9L+/fu5cvIUxPz58ykkJISKi4uZ8IceeoiWLl3qU0473HbbbTRo0CDG8uahrKyM4uPj6a9//avlXa9eveirr74il8tFjY2N9Oabb5IkSRbatLQ0SkhI0NbsfSnzBx54gH7/+99rz4Eq823bthEATRkcOnSIQkND6YknniC3201VVVV0ww03MOkrihLwLLs5ZT5w4ECKjY1tdvZ44YUXEgDLfoSMjAwCoHlvAsGYMWOYjW9mbN++nfr166d5Zo4fP+4X3+aUuXF2X19fTzk5OZqX4Fe/+hUTp6CggIKDg2n+/PlamNqG7777boY2MjKSRowYwYTNnTuXzjvvvBbLTKS3nc2bN2thJSUlVFJSQkTE9dZ0796dnn32WSZs/vz5BICKioq0sE8//ZQAaMZNcXExd5/M888/rykBtRzVCYKKvXv30sSJE4nI01b79u3LKHcij/fNrKSnT59OCQkJTNuqra2lqKgohu7YsWPkcDjozjvvZHi+9957BID5Yl5zZcYDT5krikL9+vWjYcOGMbTHjx8nAPT4449rYenp6Zb+cd1119HcuXOZsLZU5sZ+J8syHT161G+ZVa+a0ehraGigxx57jCubHcSauQ2Sk5MRHBysPcfGxgLwrCOqiIuLAwDk5+f7xXPkyJHMsaj4+Hj069cPmzdvttAmJibiyJEjqKmpwaWXXopx48bho48+8iudlStXol+/foiPj2fCn332Wdx9991+8TDim2++wfLly/Hll18iIiLClo6IcPvtt2PixIlYvHix5f2JEyfwq1/9CiEhIQgODsbtt9+Oq6++GkuWLMHJkyc1unvuuQePP/64tmZvh8OHD+P999/Hk08+GXCeVOzcuRPBwcEYOHAgAOC1115DXFwcHn74YTidTkRFReHpp59m4kiSBEVRWpwmD4mJiejWrRvT5gIBeS9yDPTY3bZt23Do0CH87ne/s6UZP348MjMzUV5ejqSkJIwaNQpr165tkZxGjBgxQvsdFhaGPn36YPPmzaipqcGkSZMY2u7du6Nfv3748ccfLXyMfRLw9FVzWFxcnN/9NBC54+LitHGgtrYW1157LUaNGoXRo0dj9OjRKCsrw9GjRy084uLi0LVrV+1Z7asFBQXa+9GjR+MPf/gDFixYgK1bt0JRFCxcuFAbi9Tv15u/Gz9y5Ej88ssvAID09HRkZ2cz30MHgJCQEIwdOxabNm1CfX09ZFnG1q1bMWbMGDidTo0uIiIC/fv3Z+KuWrUKiqJg2rRplnQBcNuGXZn5i/T0dGRlZVnS7N27N2JiYpg0O3XqhPvvvx/jxo3T6uLHH3/k1kNbwZg/h8OB/v37+y3zpEmTEBkZialTp+KZZ55BRkYGQkND8be//S0gGYQyt4F5I5U6SBrDHQ5P8cmy7BfP6OhoS1hsbCyjyMyIiIjAn//8Z0yfPh1/+MMfUF1d3Ww6JSUlWodvLdatW4c77rgD33//PdNgzSAi3HXXXaioqMAXX3yBoKAgv/hPmTIFsixrg89HH32E2tpa3Hbbbc3Gve+++/DnP/+ZGRQDRVlZGbp27arVZVZWFvr06aM9A0CvXr2YONXV1dqGnB07dmgD9+jRozF37twWyfHTTz/h0KFDCA0N9UmnDvpVVVUWmYzv/cWbb76J6667zq/20rlzZ7z66qvo3r07br311oDS4SEqKsoSVlJSAgBceeLi4lBcXGwJ5/VVc5jD4fC7nzYHntz79u3DtGnTEB8fj+3btyMtLQ1paWlITEyEy+Wy0Js3RZrHEvVehfvvvx9ffvklpkyZgqSkJLz88sua4earrFQ0V56yLKOsrAwlJSVoampCly5dLHQxMTFcno888gjT9m+66SZ0794dtbW1Fh68MgsEappff/01k+bo0aPRqVMnNDU1AfAYVOeffz527tyJ7777Dnv37kVaWhquuOIKbj20FXy15eZk7t27N3bs2IHZs2fjqaeewqBBgzBu3Dj88MMPAcng34gr0CaorKy0hJWWlqJnz57ac11dHcLDwy0zrNGjR2P16tU4fPgwJkyY4DOd+Ph4lJWVtVreH3/8Eb///e+1iz/soCgK7rjjDuTl5WHFihVchaTusjYPYuoswO12A/BY/VVVVRg7dqxGo+bl//7v/xAZGYnf/va3uPPOO7Fnzx7k5+czF/QcPXoUjY2N2odKPvroIwwbNsxW9i5dujCKsW/fvti9ezcURdEG2BMnTjBxVAUIeGataWlptvzbGqNHj8bHH3+MzMxMjBs3TgvPzMwE4DlN4C+qqqrw6aefYs2aNdz3NTU1XKUzcuRIfPHFFyguLm6VIcWDaozw2m9paWmbp9dW+OSTT9DQ0IDHH3+8WYPMX8TExOCJJ57A3//+d2zcuBHPPvssFixYgKioKNx2220+y0pFc+XpdDoRGxurect4dBUVFYyXTOX5wgsv4Morr2xNFv2Gmub111+Pl156yZZu8+bNSE9Px+eff66dwmgJHA6HZjSpaO6kiBn+ygwAgwcPxr///W+8/vrr+Oabb/Doo4/i8ssvx/79+zF48GD/ZA5IOoFWYf/+/UwDKSkpQVZWFqZOnaqFDRs2DFu3brXEzcnJAcDOvIKDgzV+tbW1+OabbwAAc+bMQVZWlmYZqnj88cfxwgsv+CXr//73P9x+++347rvvNEWen5+PK664gqGTZRm/+93vUFpaiq+++kobyN566y289dZbGp16nMqMnTt3QpIkTTG98847yMjI0GY2aWlp2u10b7/9NtLS0rBo0SJER0ejoKBAs7zVf+PHj0diYqL27EuRA8CYMWNQU1OjueDuvvtulJaW4qmnnoIsy6ipqcHDDz8MAGhqasJbb72FXbt2+XRLtwR1dXVcY8+Mq6++Gk6n06KA16xZg+joaFx88cVMuC/X8vvvv49BgwZZXNoqoqKiuPFzcnIQGhra6tkWD1OnTkVkZKTmqVFRVFSErKwszJkzp83TNEJd5lD71caNG5Gbm9tsPHXWZ/ToyLKMoqKiFslRVFSE++67D4Bnlj5jxgx8/fXX6Ny5M/bs2QMAWlls27aNibtr1y7Mnj0biqJg0KBB6Nu3r6U8GxsbsXv3bkyfPh3h4eFwOp2YPHkydu/erRnWgKddqoaiigsvvBAOhwO7d++2yH3vvfdi48aNLcqzL6j54KX51ltv4Y033gDArweA3w+M4ycRYfny5WhoaADgWdYxGzaHDh1qF5nXrFmDt99+G4Bnuenaa6/FBx98ALfbjQMHDvidnlDmpxBVVVVYunQpAM9sdtGiRXA4HHjkkUcYukceeYRxJ3722Wf48ssvcfXVV6Nfv35aeL9+/XDy5EkQETZt2oT7778fAPDoo48iKioKCxcu1Drmjh078Prrr/s1GH7xxRe45pprcOutt2Lfvn345JNP8Mknn+CLL77A3r17NTq324158+Zh/fr1uOqqq/Dll19qtD/++CPy8vIYvh9//DEzqHzzzTf4+OOP8X//93+WdblThYkTJyIpKQmffvopAGDo0KHYsGEDfv75Z4wYMQJXXXUV/vjHPyI5ORlLly5FaGgoPvzwQ8tg0VqMGTMGAwYM4Loojejfvz8WLFiAF198EVlZWQA8dbts2TI89dRTjIJdsmQJEhMTtbyZ8dZbb+GPf/yjz/QefPBBzYVPRHjppZewfft23H333cw54LZCVFQUlixZghUrVuC7774D4GlnDzzwAKKjo/Hoo4+2eZpGqP0rNzcXbrcbN9xwg0WZ8XD55ZcDAJ5++mlNQTz11FOor69vkRx1dXV44403mLsadu7cierqau2TuDNnzsRvfvMbPP/88zh27BgAz3LLokWLMHXqVDgcDkiShFdeeQV79+7Fv/71LwCeely8eDFqamrw3HPPafz//ve/o6ioSNsjQkR45JFHLPtDkpOTsWDBAixduhQ7d+7UaP/5z39ixYoVPr14LYWaj40bN+Kdd97Rwrdu3Yq//e1v2r6BqVOnIi4uDkuXLtVm0mvXruV6n/r164eSkhK4XC6kp6fjt7/9reYpvOCCC7By5UrNa/fRRx9p59/bWuYTJ05Y9g2tW7cOkZGRtoY2FwFtlzvLUVJSYjm/XVVVRddee612XjIlJYXWrl1Lzz77LHMe8rHHHmPOHfbu3ZvmzZun8U5KSqL58+fTCy+8QJMmTaLu3bvT2LFjLefMv//+e5o3bx4NGzaMRo0aRUlJSdoZcvP57yNHjtCECRNoyJAhNGLECOZsaUZGBv3mN7+hXr16UUpKCs2YMYPZZeprN3uXLl20K1TN/4y7Ob/++mtbOph2g2ZmZtKf//xn7Rxlv379aNSoUfTyyy+TLMvc+li1ahWlpKRoZ3/Vc6cHDhyw0N5zzz1a3alnR6+++moLHe+c+fvvv09dunSxHP1rC6hX4gYHB2ttynx8h8izC3/IkCHU0NDQLE9Zlunpp5+mIUOG0MiRI2nEiBH09ttvW+j+9a9/UVRUFP3444+Wd5s3b6bo6GiqqamxTefjjz+mX/3qV9q1sb1796ZJkybRP//5z2aPsfHOmdfV1dETTzzB9Jtx48bZpj127Fjq378/9erVy3LO/D//+Q/T1+6//37tnojg4GDq0qULTZs2jYisZ4p3797tU/bf//73lJSURMOGDdN2bP/qV79ixoA//OEPlnjLli2joUOHUt++fSk1NZWefPJJ6tmzJ3Xp0kXbXT5x4kRGlqNHj9Irr7zClMmSJUuorq6OHn30URo7dqx2DnrcuHH03nvvMWk2NjbSo48+Sv3799fGjKeeesrSp1atWkXTpk2jvn37Up8+fWjOnDmWuwqIiL744gsaOnQo9ezZk8aNG0dLly6l1NRUre0a72J49dVXaejQoTRo0CAaPXo03XDDDUwf8qfMzOCdM1eP3RER/fjjj3TeeedRnz59aOzYsTRr1ixmXCMi2rp1K02bNo0SEhJoxowZ9H//9380d+5crcz37t1LRESFhYV0/vnn04ABA2jo0KHMue6TJ0/SpZdeSj179qSpU6fSyy+/TPPnz9d4bNiwwdIGU1JSqLCw0JKn5mTOzMykO++8k4YPH04pKSk0YsQIuvDCC5kTAP5AfM/8FKFv376YOXPmGfMBluzsbPTr1w/vvPNOm7uMz2Q8+uijeOyxxyzrYXfccQc2bNiAlStXonfv3ty4eXl5SEhIaPNZuYCAgEBrIUalcxROpxPdu3fHkiVLzvivprUF1K+mffDBB9yNMW+88Qauv/56jB8/Hk888QRzjKWkpARLly7FlVdeqR0dEhAQEDiTIGbmpwhn2sxcgI/jx4/jP//5D9asWYOSkhJERkYiPj4el112GW655Raf5+wFBAQETheEMm9nrFu3DgsWLMDBgwcRGRmJPn36YNu2bQgJCTndogkICAgInCUQylxAQEBAQKCDQ6yZCwgICAgIdHAIZS4gICAgINDBIa5zbQMoioK8vDxERUUF/KELAQEBAYGzA0SE6upqJCYmnvIjrEKZtwHy8vJszyYLCAgICJxbOHHihOUDTe0NoczbAOoVmidOnOB+GU1AQEBA4OxHVVUVevfu3S7fLWgOQpm3AVTXenR0tFDmAgICAuc4Tsdyq9gAJyAgICAg0MEhlLmAgICAgEAHh3CzCwgICJxDyM8H9u0DamuBmBhg9GggNvZ0SyXQWghlLiAgIHAOwO0Gli8H9u8H1FNTRMCGDcB55wGzZwPiZG3HRYdzs3/11VcYP348pk+fjtTUVBw4cMAn/aZNmzB58mSkpqZi8uTJ2LhxI/P+66+/xmWXXYYLL7wQ06ZNw7hx4/DZZ5+1ZxYEBAQETjl++AFQh0tF8fxTL/P++Wdg69bTJ5tA69GhZubbtm3DzTffjB07dmDw4MF47733MGfOHBw6dIh7FCAnJweXXnopvv76a8ycORPr16/HZZddhr179yIpKQmA59OX8+bNw8033wwA+N///odf/epXGDp0KEaOHHlK8ycgICDQHqipAXbt0pU3Dxs3AhMnAk7nqZNLoO3QoWbmzzzzDObOnYvBgwcDAG688Ua43W4sW7aMS//qq69iyJAhmDlzJgAgNTUVgwcPxtKlSzWaJ598EvPmzdOeZ86cCUVRmO9ZCwgICHRkZGR4ZuIqaqgex+RcNFCjFlZXB+TmngbhBNoEHUqZr1mzBhMmTNCeHQ4Hxo0bh9WrV3PpV69ezdADwIQJExj6cePGISjI46BoamrCc889h2HDhuHCCy9shxwICAgInHo0NbHPGe4TqFLqkC3n+aQT6DjoMMq8tLQUlZWVSEhIYMITEhKQmZnJjZOZmek3/V133YWuXbtizZo1WLlyJSIjI21lcblcqKqqYv4JCAgInKno3p0f3gg389y16ykQRqBd0GGUeV1dHQAgNDSUCQ8NDdXe8eL4S//666+jtLQUs2bNwnnnnYf8/HxbWZYsWYKYmBjtn7iXXUBA4ExGnz5AXJz9bnWHAxg0yHNUTaBjosMo84iICACeWbERLpdLe8eLEwi90+nEo48+CiLCiy++aCvLww8/jMrKSu3fiRMnAsmKgICAwCmFJAFXXw0EB+vH0ozvIiKAuXNPj2wCbYMOs5s9Li4OMTExKCgoYMILCgqQnJzMjZOcnNwsfWNjI0JCQrRnh8OBgQMH4uDBg7ayhIaGWmb8AgICAmcyEhOB22/37FrftdOzs93p8OxgnzYNOA3fBhFoQ3SYmTkAXHDBBdixY4f2TETYtWsXZs+ezaWfNWsWQw8AO3bsYOjHjh1riZefn4/ExMQ2klpAQEDgzEB8PHDVVcD06Z6LYlJnApdcIhT52YAOpcwXLVqE7777Dunp6QCADz/8EE6nE/PnzwcA3HLLLbjppps0+vvuuw+HDh3Chg0bAAAbN27EoUOHcM8992g0Bw8exLfffqs9f/DBBzhy5IjGU0BAQOBsg8PhcbmLG9/OHnQYNzsATJw4EcuWLcO8efMQHh4Oh8OBlStXahfGNDQ0oMlwtiIpKQkrVqzAQw89hJCQELhcLnz77bfahTEA8Morr+DJJ5/E008/DVmWIUkSvvnmG0ybNu2U509AQEBAQKAlkIh83Qkk4A+qqqoQExODyspK8T1zAQGBMx4vrfJ4N0OCHLjr/AGnWZqzB6dTF3QoN7uAgICAgICAFUKZCwgICAgIdHAIZS4gICAgINDBIZS5gICAgIBAB4dQ5gICAgLnKMTRtLMHQpkLCAgICAh0cAhlLiAgICAg0MEhlLmAgICAgEAHh1DmAgICAgICHRxCmQsICAgICHRwCGUuICAgICDQwSGUuYCAgICAQAeHUOYCAgICAgIdHEKZCwgICAgIdHAIZS4gICAgINDBIZS5gICAgIBAB4dQ5gICAgICAh0cQpkLCAgICAh0cAhlLiAgICAg0MEhlLmAgICAgEAHh1DmAgICAgICHRxCmQsICAgICHRwCGUuICAgICDQwSGUuYCAgICAQAeHUOYCAgICAgIdHG2qzF944YW2ZCcgICAgICDgB4JaEmn9+vVIS0tDVVUViEgLf/fdd7Fw4cI2E05AQEBAQECgeQSszO+99168/fbbGDp0KKKjo5l3FRUVbSWXgICAgICAgJ8IWJmvXLkSJ06cQFxcnOXdrbfe2iZCCQh0JJTkN+HQzlpUlLgREuZA/+Hh6Dc0DM4g6XSLJiDgExJEGz1bELAyHzJkCFeRA8CLL77YaoEEBDoKiAi/rK7Gnp9rIDkAUgBJArIPN6BzfBAunx+HiCjn6RZTQEDgHEDAG+Buv/12PP/888jLy2PWywHg17/+dZsJJiBwpuPwrjrs+bkGgEeRA4DaJSpL3Vj5SZmljwgICAi0B/yamTscDkiS7o4hIvzpT39qN6EEBM50kELYvanG/j0BRSebUJjbhITeIadQMgEB/0EQxubZAr+UeUpKCl5++WWfNESEBQsWtIVMAgJnPKorZFSXy9pzA8k4KJcj0RGBBEcEAEByACeONghlLiAg0O7wS5n/9a9/RWpqarN0Tz/9dKsFEhDoCFAU9jlLqUItNSFDrtSVOQBFtsYVEBAQaGv4tWZ+9dVXa7/ffPNNy/uamhpMnDgR9fX1bSeZgMAZjKjOToSE6UtPMsddqShAt57Bp1IsAQGBcxQBb4D79NNPLWGRkZFYsWIFnnnmmTYRSkDgTIczSMLwCZ0g2ZzskSQgIsqBpEFhp1YwAQGBcxJ+udmPHz+O7OxsAJ6LYTZu3GjZpVteXi4ujRE4pzB2RhQKjjciP6eRCZckwBksYc51sXA4xTleAQGB9odfyvydd97BY489BgCQJMmyfi5JErp164a//vWvbS+hgMAZiqBgCZfeFIfDu+uQ9VMlKqoAp1PC8ImdMHJyJ0R3adFtyQJnOKrLm5C+qwaVJU0IDnWg77AI9BwQDodDGG4Cpw8SBXgQ9vzzz8e6devaS55m8dVXX+HJJ59EeHg4HA4H/vGPf2D48OG29Js2bcKDDz6I0NBQuFwuPPfcc5g+fbr2/rPPPsPbb78NWZZRVVWFPn364LnnnkNycrLfMlVVVSEmJgaVlZWWK24Fzg18nXYSmcW1AIAFFw46zdIItBf2/VyJHavKIUme44fq39geIZhzY3eEdeoYlwS9tCodABAa7MCdMwecZmnOHpxOXRDwmvn777/fHnL4hW3btuHmm2/Ghx9+iI0bN+K2227DnDlzUF1dzaXPycnBpZdeiqeffhrr16/HM888g8suuww5OTkazY033ogHH3wQa9aswS+//IKoqChcfPHFaGhoOFXZEmghiAileS4cP1yLohMNIEWcmRVoP2Ttr8WOVeUA9MuB1L/lBY1Y/XGRuCRI4LQhYGV+8803t4ccfuGZZ57B3LlzMXjwYAAeRex2u7Fs2TIu/auvvoohQ4Zg5syZAIDU1FQMHjwYS5cu1WiuvPJKXHTRRQA8l+PcfffdyMjIwK5du9o3MwKtQn5mPZb/4yT+91Ye1n5ShO/+nY8vX81FzqHa0y2awFkIIsKeDRU+3gPFuS4U57pOnVBtAHE3+9mDgJX5li1bkJyczP03ePBgzJkzBx988EF7yIo1a9ZgwoQJ2rPD4cC4ceOwevVqLv3q1asZegCYMGECQ//5558z78PCPLuPGxvZTU0CZw7yM+vx4/sFqCxuYsJrKtxY92kRsg8IhS7QtqivllFepLe3RlKw212OAkX34EkO4ES6OJ4rcHoQ8A6dRYsW4f3338e8efPQp08fAB539vLly3HjjTdCURQ8/fTTKCsrw7333ttmgpaWlqKyshIJCQlMeEJCArZv386Nk5mZiWuuucZCn5mZaZvOli1bkJiYiPPOO8+WxuVyweXSLfCqqip/siDQBiAibP2+FL68mVu/K0GfIRFiJ7lAm0GW2QaXpdSgkppQKTchweGZAEgAZLdwswucHgSszPfu3YtffvnF8uW0+++/H/fccw8++ugj/PGPf8TFF1/cpsq8rq4OABAaGsqEh4aGau94cQKhVzfIvfrqqwgOtr/sY8mSJdrufoFTi7L8RmZG7iYFReRCvBSKEMnjaGqoVZCXWY9eAyNOl5gCZxkiooIQEuZAY4Pn6j+3zSVBcQni6l6B04OA3ex5eXncT6DGxcVpZ9E7d+6MiIi2HUhVfsYZsfpsl1ZERERA9H/4wx/wm9/8hrnxjoeHH34YlZWV2r8TJ074mw2BVqK2ys08H1FqcESuxl65kgmvqxL3qAq0HZxBEoaMj7K9JAgSEBLmQNIwYUAKnB4ErMzLy8uxfPlyS/hXX32FsrIyAEBDQ4PtDvOWIi4uDjExMSgoKGDCCwoKbI+RJScn+02/aNEiBAUF4cknn2xWltDQUERHRzP/BE4NzEd/irxrltXUZKILuGkLCPhEyowYxPcMhXnPmOQAHA7g/Gu6IihYtDuB04OA3ezPPvssrr32WvTo0QPJycmQJAnHjh1DQUEBPv/8c5SVlWH69OmYOnVqmwt7wQUXYMeOHdozEWHXrl34y1/+wqWfNWsWNm/ezITt2LEDs2fPZsKeeeYZZGdn46OPPoIkSdi5cycAYNy4cW2cAwEAqK1swtFdVSgvcMHhlNBzUCckDY/0ayDs2jMUkV2CUFPutqUJCXOg5wAxQxJoWwSFOHDx/O44tK0aRzdUAzUeRZ48ohNGTI1BrHCxC5xGBKzMr7jiChw5cgT//Oc/ceTIERAR5s2bhz/84Q/ahrht27ZZ1qrbAosWLcLs2bORnp6OQYMG4cMPP4TT6cT8+fMBALfccgvcbrd2Fv6+++7Dv//9b2zYsAEzZszAxo0bcejQIXz22Wcaz3/+8594//338a9//Us7jrZixQr07dtXKPN2QGZaFbZ8UwiQ94yuBBw/WIO0NSWYPb8XYuJ9D4iSQ8LEObFY+0mRLc34C2PhDBKb3wTaHkHBDow8LwY5UXFIL6iGJAEzLux6usUSEAhcmQNAUlISlixZYgkvLS1FXFwcOnXq1GrBeJg4cSKWLVuGefPmaTfArVy5ElFRUQA87v2mJt3dmpSUhBUrVuChhx5CSEgIXC4Xvv32WyQlJQEAqqurcdddd0FRFIsn4Z133mmXPJzLKDpej83LC9lA7z6ihhoZa947iSvvSYKzmRl6nyGdMPOabvjl+1KgXA8PCXNg/IWxGDQuqo0lFxCwQrJdQBcQOPVo08ujr7nmGqxdu7YtWVpw1VVX4aqrruK++/jjjy1h06dPx9atW7n0UVFRkGWxUepU4eDP+jWYZhABdVVu5BysQXJK83sQ+g7vhD5DInD4i2o0uRQEhzhw3W/6iBm5gIDAOYmAd2ukpaXh/PPPR5cuXeB0Opl/69evbw8ZBc4CEBFOZtRqilwmwm65ClmKfkxQkoCTGf5f+OJwSoiJC0Zcj1BExwULRS4gIHDOIuCZ+fz58zF79mw88MADiIqK0lxNRIQFCxa0uYACZwkIIEV/LCIXypRGlKER/RyezWpEgCIu3RAQEBAIGAEr86ioKLzwwgvcd6+88kqrBRLouGisl5GVVokTB6rQ1Kigc0IoBo7vgvg+EZAcEjp3D0FFoeeaXO7ihgTEJoadUpkFBAQEzgYE7GYfNWoUSkpKuO/Ex0nOXVQWu/Dda8ewe2UhSnLrUVnkwvH9VVj9nxzsXlkIIsKQSZ198pAkYMAYcWZfQEBAIFC0aGY+adIkzJo1Cz169IDTqV/i8e677+L+++9vS/kEOgAUmbD+gxNw1bHzbdWtfmRLGTp3D0X/0THIz6xDzv4a5uINyeFxsU+9KgHhUW26J1NAoF0gvnQqcKYh4JHzrbfewujRo5GRkYGMjAzmXUVFRVvJJdCBkJdejbrKJp80h34uRd+UGEz7dQIS+1dh5YZ8SMUAJAm9B0di6NTO6No7/NQI3A4Qx5QEBAROJwJW5tOmTcP//vc/7rvrr7++1QIJdDwUZtV5ZtfemXimUo88pRETnFEI9X78pKq4EY31MkIjgtB/TAzOiye4DksAJMy4sMfpE15AQEDgLEDAa+Z2ihzgn/MWOPthdjkek+tRTzKyDd965tFZLrkWEOggEI4YgTMNLfoqwC+//IL58+fjuuuuA+C5ElWcMT93Ed87nDl2psKouzt1CUZohL6/QgyGAu2BuspGpG8pwf61hchOK4e7kdMw2wBizVzgTEPAynz58uWYNWsWysrKcOjQIQDAkCFD8PDDD+OTTz5pcwEFznz0HhaF0E5Onwp68ORYZl35XBwMXbVu1FU0QpHPwcy3MxSZsHPFSXz7Ujr2/FiAw5uKsX35Sfzv+cPI2VtxusUTEGh3BLxm/vzzzyMtLQ0DBgzA+eefDwCYOXMmVq1ahUsuuQS//e1v21xIgTMbziAHZlzfG+veOw65yTAT8urupFHRGDihS7ukLUEC4cxWjnmHq3BoQxHK8+oBAMFhDiSPj8PQGd0QFCI+mdkWSPshH5k7vBf1k24suhsVbPtvLkLCnOgxSNzZL3D2IuCRxOl0YsCAAQDYHbydOnWCorSPS0vgzEdcr3DMvSsZQ86LQ0i4E0EhDnTuHopp1/XE5F8lQnK0j1/9TFfkx7aVYvMnOSjPr9fCmhoUHPm5GOvfzWw3N/C5hLrKJhzbUWZPIAH71xbavxcQOAsQsDKvrq5Gfn6+JXzfvn2orq5uE6EEOiYiYoKRMrsbBk2KxZCpcUiZ1Q29hka3myI/01Ff1YS07/M8D2abg4Dy/HpkbOFfwCTgP04eqmKeK8iNg3IdmtSNHARUFDSgpsx1GqQTEDg1CNjNfu+99yIlJQW//e1vceLECTz22GM4cuQIvvnmG7z11lvtIaOAQIdE9u5yRoc3kYIGEKIk70ZAAo5tL8WQGV3FOfVWoKlBZr7Gt81dA8BzZfBIZ4SBTnhBBM5eBDwz/93vfodly5Zhz549KCsrw9KlS5GXl4evvvoK8+bNaw8ZBQTOePBUcXUJOxNcL1djs7saleTWwhpq3JCFq71ViIwN4Z6mqCP9RkJJ8niOBFgIG/LsQcAz871796JPnz7iKJpAq9BWg8iZsgGOJ0FQiIOZMcreHyXkRozk7XoS4AgSm+Bag55DoxEc6kCTi28USRKQOCQaoZ3EVcECZy8CHkVGjx6NV199tT1kERA4q9BzWDR3xqhCkoDEwdFwOMX0qDVwBjsw7oqengdTUUoSEBzuRMpFCadeMAGBU4gWXef65ptvtocsAucQzoVz5t36RSK2ZzjK8+r5+ZWAIdO7nnK5zkb0Hh6D4FAH9q8tAnIqAHgUec9h0Rg1OwGduoScXgEFBNoZAc/MR4wYgby8PO67K664otUCCZxFOMcnnJJDwnk39EVsL88mLEnSlxeCQhyYcl0SYntG+OAgEAgSBkRh9u39MXByHJLHd0HKnB6Yck0focgFzgm06BOoU6dOxaxZs9CrVy/mE6j79+9vU+EEBDoK7OyW0IggzLw1GaUn6rDj+8MgBRjULxaXXZAkLoxpJwSHOREMpyhfgXMKLf4EamZmJjIzM5l34hOoAgJWSJKE+D6d0D3ZcwNZj/7RQtF0cJwDq0QCHQziE6gCAgIC5yjOhb0r5woCVuZffPGFJcztdmPVqlV477332kQogbMf4nzruQMiQllODXJ2FKG6qB7OEAcSh8ei9+h4BId3zONiovkKnGkI2Nd3ySWXWMJkWcaKFStw9dVXt4lQAgICZweICAd+OI4t7x5G/sEyVBfVoyK3FgdXnsBPr+9HTXF980zOQIgJrcCZhjZZuAsNDcXrr78u1swFTjnEDP/MxoldJcj+pQgALGfuG2ub8MuH6SDl7FONTQ0ymhrcIOHHFjhF8MvHtWzZMixbtgwAkJaWhgsuuMBCU15ejtDQ0LaVTqBDQ+jZcxtEhGOb8y1h6j30REB9RSMK0yuQMKTtP5F7qg09IsLJvaXI/Dkf1UUej0NkfBj6Te2B3mPixf37Au0Kv5R53759kZqaCgDIysrSfqtwOBzo2rWrcLML+A1/JyykEEoyK1GRWwPJISG+fww694wEEaHwcDlO7C5CfVUjIEnYXelAvykJ6Nwzsn2FF/ALjbVu1Jbq99M3kILNcgP6OIIwwOE5+y05JJRkVbWLMj/VOPTjCWRtKWDCakoasO+bLFSerMGIy/qecQr9DBNHoBXwS5mnpqZqCjw6OhoLFixoV6EEBACgqqAOuz5NR125C5IDAAHpa3PRuVcnRHaNQO7uYtS7G6EQASAUHCxF/oFSpFzVHz1HxZ9SWTvqoOiqaUJ1YR0kB9C5ZyScIc7mI/kJs8GWoTShnhQckRs1Ze4hbLMkTxtKs6ssityI4zuL0X1IF3Qb2PnUCXUWwt0ooyy7CopbQVT3CHSKCz/dIp0xCHgrqVmRK4qCPXv2ICkpCbGxsW0mmMC5jfpKF7a+exBul+fLV8b11orcWlTk1lriqDR7lx9DbJ8ohHcWyz52aKxrwqHvs5F/oFQrN2eIA30n9cCAmb3a5L740E5BCI8JQX1lIwC+ziaFENsnqtVpnW7k7CiC5NDboIs8n/8J81p5kgTkbC8SyryFIIVwdH0usrbkM18ZjO0bjRFXJKNTbNhplO7MQMAb4F555RUMGjQIW7ZsgdvtxsyZMzFu3Dj06tUL33//fXvIKHAWormZbM62QsguuUWzNiLgxK6ilgl2DsDtkvHLOweRv7+UMZLkRgXHNp7E3uVH22TjluSQkDzF/gMnkgSERgYjYUjnVqd1ulFVUKeVpUKE1e46rHHXaV/KI/LQCLQMB77NwtH1Jy2fCy7PqcLWt/ejoarxNEl25iBgZf7ZZ5/hf//7H6ZMmYIvvvgCaWlp2L9/P7Zu3YonnniiPWQUOAdxcm8J46ZNlxtxQnFb6BSe0iGgPLemHaVrHU73Bufj2wtRU2Lz8RcA+ftKUX68uk3S6juxGxJHej12RgNOApyhTkyYN/Cs+ARsULCeB6O6cRmsUWdwx8/n6UB1UR1O7OQb50RAU4MbmZv43ws5lxCwmz0sLAyDBw8GAHzwwQe46aabMGzYMAAQu9kF2gzuBln7XUEy0pUmAEBvh39NVnxW1B7HdxYyHo9CRUaYJCFG8igbyQHk7i5GbFJ0q9OSHBLGXJWMxGGxyF6biaASBZJTwsCpPZA0vhvCotvvIyhSG5ynKMuuxPFfClCRWwXJIaHroFj0mWj1NiQMi0VlQZ29J0kCegw/O5chSSEUZ5Sj8FAp5EYFkV3D0XNsd4THtI0+OJlWzCxhVJKCKlLQS3JCkiSQAuTuLsLQi5MgOc7dfh+wMq+qqkJNTQ3y8vKwatUqbNq0SXvX0NDQpsIJdGy0ZuduRGwoqgs9x3saWzCT7Tqgc4vTPtvhqtZdktWkYLvs2XF+WbDnC26kAPUVLm7clkBySEgY2gWDlJ5oyqsCAAy+oFeb8W8vHFt/AkfXnWAUSe7OAuTuLETV+DggWKftM7YrMjfno6mBszQkAUEhTiSN73bKZD9VcFU3YscHB1Hj3URJClAoAcc25GLIxf2QNKlHq9NoqG5kvEgb3R49E+wMRYLk2bApNylwN8oIDuuYNwq2BQL2+9xwww1ITEzE6NGjMXPmTEyYMAEHDhzADTfcgN69e7eHjAJnEUghVOZWo/JkNdwNVre5ij7ju7csAcnz1ayeKad2N3tHgvEK1Vqer10CQiKDreHnEEqOVuDouhMA2M2XpHjacPYvedrmTAAI6RSMyfOHIrSTt9wkaMsKIeFBmHTT4Hb1QpwOEBF2fXQItcWevQBaOXkOl+Dw91koOlzW6nRCI0O4E4Mqw4KGI8iBIO9JDEUmNFS60Fjb1Oq0OxICNmPuv/9+nHfeeTh58qR2tWtQUBAuuugiTJ06tc0FFDh7cHJXAY6tOw5XdSOyFTeOy26Ex4ahbmxvRJiOmPQa0xV5+0pRfoK/dhvbNwrlOdWeAdOgj4JCnZhw05Bz2kJvDr1Gd8OxTSftXcKEU36070xDztY8pm0pRB79rCoVBajKr0Fs3xgtTnRCBC64PwXH95diyybPFyVHTEzCoDHdzsr18vLsKlTlW0+VaJCAzE256DaEXV4ghaDI5HeZ9EyJR/aWfNv3kgPoNborFLeCrE25yN2ej6Z6z0Qhqkckkmf0RrehcX6l1ZHRohFvwoQJmDBhgvY8ePBgbR1doOOAiFB1sga1JXUICnEitn9nBIW2jxLM3pyLjB+zLeH15Q3Y9vYeTLp9NMK76MdLnEEOTLxpCNLX5aJs20nAe4V3aFQwkqf2QN/JCWiobMTPn+317GSVJAybloSeKfFCkXPgqnKh9Fg5FJnQpU8kQiKC0VTHmblIQJfeUadtmaK+ogFVeZ4LgrokRSM4/PR4CMqPV2mKXCbCatmFaEnCFKe+DtxQaV2KcAQ50HNkHLoXlwMAEkfGnZWKHACK0ssgOSTtOt7jihsnScZ4RwiCJQkgoDK3Bo11TQiJCEbF8SpkbzqBkowygICwzqHoPaknek/o4XMTZHRCJySmxCNvT4nlnaQuYUxOwM7396Myt5oxUqsLarDn00MYfHE/9Jncs83L4EyCGPXOUVTlVePA8nTUFunHZRzBDiRN7YXk1D5tupGksbYJR1fn8F8S4Ha5cXRdDkb+mjUIncEODL2oD0JTuiB383FIEnDBFcM02cI7hyKunz4z6jvJ/hhUe6MtNlu1B+RGGYe/PYr8vUXMIBcRH4GQiHCgkN31nzA0FiOv7H/KNxK5qhtx6H8ZKEnX3bKSU0LPsQkYeFHyaVWIxaSgkQglREDb3anT4aG4WdfOHtljHGbAjWFO3QgjmVCwrwj7/3vE00u80RoqXMhYmYnSjDKMnjfcp0IfeUV/hEQE4fi2QkC1QQmI7tEJo64agJLDpRZFrtIAwJGVWeg6JA7hnc/e8+hCmZ+hICK4692AJLX5ZyJrimqx4529UNzsmU2lSUHW+uOQXTIGXZzcZunl7y1izi3XEeGkoqdNClC4vwRDL+3P9Qw4gxwI9a7hnsu7VQMFEWHvZ4dQeqzcMsjVl9YhKCwIIy7vh+z9+SBZwZSLh6Bzr1N/gUtTvRs7/rMHDZXsBlqSCbk78tFQ0YCU64f7Vfe1xXWoyKmA4iZExLvgHtWjRd6muOTOKE4vs3wcxgijJ+lUo7GmEQX7ilBf0YCQiGB0H9HNslTV3ohK6MT9SE6TobEFRwQBEnBgeTpA/JWdsqwKnPglD0nn2W+KdDglDJ3TFwNm9MK2r/aDFMKIwV0xdYInzu4P8hnmVaQgDBJCDGvtebsL0f/8pMAz2kHQ4ZT5V199hSeffBLh4eFwOBz4xz/+geHDh9vSb9q0CQ8++CBCQ0Phcrnw3HPPYfr06QxNY2MjFi9ejOeeew5Hjx5F37592zkX9iCFkLstD8e35qLBu6M4MqET+k7rje4j2mY3bOa64yBZsV0zPb71JHpPSmyzwaqh0uU5QuJV6KvdVvckKYTGmqZ2c/O3BO4GN/J2F6BwbyGa6t2IiI9Az/E9ED8orkMYFeXZlSg9Ws55QyAC3PVNyNmYg/LyGkABdr69G1GJkUie2Rfxg07dMarc7Xmor2iwuSIOKMkoR1lWBeL629/fLjfJOLg8HUUHilHubV/O3BpsPFKJoZcPRMKowDZU9p2SaL95S/Iol+genQLi2VbI+fkEjq3J1j5aQ0TIXJeDHmMSMOSyAXA4T40Xo8eIeBxZmWW5yEWDBHQfEou0D/eBZL1yZSI0AghXFS0BJ7bloc/Uns2egAkOD0JkV8+pi4hYj/GiuBVmyaOSFKx3N0KSgMuD9DGstoN+btdftGmtl5aWtiU7C7Zt24abb74ZH374ITZu3IjbbrsNc+bMQXU1f5NUTk4OLr30Ujz99NNYv349nnnmGVx22WXIydFdvtnZ2UhNTUVeXh5kWebyOVUghbD/y0NI/+GYpsgBoKawFvu/OIzMddmtTsPd4EbR4RLmtqpjihuVximIBBTsa7sb1EIigv26UaytPRCtQX1ZPX75x3YcXXkM1fk1aKhoQNmxMuz75AD2f34QiuxjynaGoGBvEWN0FCsyMpUmgBRI3i3HrooG5paT6vwa7PloP/LTCk+ZnCd3sefeTyoySg3tUXIAec3Ic3B5OooOFnsevLupAY+36cB/j6A0I7Bd1V2SojF0bj8tfV0YjyLvOa67f/fxt/EFQXm7C3B0VZZnRkzQ/gJA/u4CZKzMbNsEfSAo1ImU3wyC5JDYMgIACejUORiFu06iJr8WxoL4SW7Cj24Xqgx13FDpsjcKmoEnfUM79/I1DjmSJMEZcnbuXVDRprm75ppr2pKdBc888wzmzp2rbba78cYb4Xa7tc+zmvHqq69iyJAhmDlzJgDPB2MGDx6MpUuXajQ1NTV4//33ccstt7Sr7P6g8EAxig5YN3mo/SBr/XFU57f8ZjO5SUbeTtYdlUUy9stu/OTWzx5LkoTGmuaPddSX1SPj+wz8/PxmbFiyETvf3oWCPQVaL1K7V/cRXX0Map6RN7Z/ZwRHnL7jUHKjjOM/H8eWV7Zi7aM/Ycur2+AyXxHpzUPxoRLkbDpx6oUMEK7qRoMblLBFbsR+2e1Z+9Vg0kjeV4dXZPg8OtiWaKzRy7mKFOyQm7DJ0B5JAVyczWYqaovrUHSg2NLGJMOPzPU2ezZ8oM/EHpj6xxQkDItDSGQwQjoFoUuPMISgCXnbcnF80wkU7C1A5YlKJl51fjVqi2tRX14PRWk7o48UzwzcF07uyGPKs73RdVAsJv/fSHQfGgdJIkiQESzJCAtyo7Hce2TNFKfGq2zzTGUT6EVP5OUsOSR0G+rbW0YKoduws/uERsDKPC0tDeeffz66dOkCp9PJ/Fu/fn17yKhhzZo1zC56h8OBcePGYfXq1Vz61atXM/SAZye+kX7EiBEYMGBA+wgcIHK35TFjax0RXIaBV3IAJ3fYH9Hwheq8amx5aSuOrjoGY/eqYAZ29R5pQmgzZ2Irciqw7Y3tyN12Eo01jZBdMqpOVuHQV4c9MyQD34jYMPQab96cRpDgmSEGQUZVZgn2frwPlblVLcpfa+B2ubH7nd04tjoTDeX8i4/MnoXcrbmWPQdnElzVLlSdqATPiqrTwtjBr9GQR8WtoGB/+91v31jbiJPbcpG1LovZ3FZnao8SFDggoza/Cns/2oeS9FJLXRQdKrHYJAwIqMqthqsq8Itworp3Qv/z+yBxVDzgdqM2v4qp94byBux+Jw2l6aWoyq3C9n/uwM5/7ULxgWIU7inEtte24eT2kwGny0N1fg2Thzoi7JCbUEbs/pOS9Pb1kJoRnRiJLj0j4CAFDsnTV+Qmg2cFBIWsVy9LULzjBCG2f5dWXevbd5r9erskedb34wd0/M/s+kLAfs358+dj9uzZeOCBBxAVFaWtcRBRu34atbS0FJWVlUhIYJVCQkICtm/fzo2TmZlp8RYkJCQgM7N1riiXywWXS+9UVVVto4Bqi2q1sddFhFXe2cmVwZ7jMKQA1YWBz8wbaxuR9t4euF1u75indyoHZDi8flYnZM/wSQ4kjLJfn5ebZOz7ZL9nULPaAqgrrkNlbhXKZWDn+hzUldTBEeRAdEI4qosa4Bmk2dk7CChLL0VZRhlGXDsc8UN0K7q9d4pnrc1CdUGNSe+RJt0xRcYRRcY0ZxCivf7Epno36krrEdn99KybNofDXx+B4mqCuv1aMin1IoWgmMJ+kptwUZD+nfH60pavMbob3Cg7Wga5UUZEfASie6tXwxIqsiqwZUseSCFIDgmeFQsHzBrZYfD/K00ySjNKUZpeim4ju2HYVUO1mZjscjN7Mmxlcslo6QWjZcfKITfKQJBanlp2QArh4JcHobgVKKYNYU31bqR/mwG5SUGfqa27VEtuZJcBd8lulJKCk4qijRGQwFxmcypQebwSx3485nnQu40GIsI67073WY4grV4dkBAEGURAbFLrNl5G94jE6OuHYu8XR4B6NyNDVGIkxlw/rEPsc2kNAlbmUVFReOGFF7jvXnnllVYLZIe6Oo/Lxnz/e2hoqPaOFycQen+xZMkSPPbYY63iwYMj2AF4O2K1zcDUku9N5+/Kh9vl1pSVAwQFgBPszFJV9MFBBKXRfkAoPlDs2WnvBRFBBhCkLSISKrLKcSKrEjFBToAA2SWjqa4JIUFOhEWHoJEzS/IY6YSD/z2E8x6cquWVOLPLtoLcKCNvF7v04CJCCPQLQvbJnrzukWVM9zF7ICKASNuYdLpQX1aPsqPqGrECQNK+3qWGbPEOrn0denuqN82KnS3YjEgKIWtdFnK3nGBmsOHxEagf1Q2VOZWoyKkABYdo9HpJGbxQZmPPuxVaAqFoXyE6xUegb2pfAEBEXAR3V7URjiAJodEtU+Wyy80Y2kSEclP/dLtkywVGRmStzUKPMQmtOjcfbtqtXmuypB1QIBEhe1UGSg8WouekXug6vFur26LscqNwXyFK00ugNCmISoxCj3E9Ee7dgHZiay5D7+nGeh9oBFDr9R64YfVmSQCy12QislsnxogPRL6CtDyUHStHfJ9wlDaFIbrWBckpYfwlQ9C5T/Rp7Y+nCgH31lGjRqGkpATx8dZC37VrF2bMmNEmgpkREeHZwWicEavP6jtenEDo/cXDDz+MBx54QHuuqqpqk6tsuw3v6nG1+xiXug0NvLF73N768wHZDRlAitNqGEgASFaQvuIIRv9uDJdfpfejE+oAulORkasomBUUjCjVU6OQZ7JlmrnLTTIaTZeV1BAhHIDTG1dulFG0vwg9xrb+Xmc7uOubUHK4GDWFNVAMLsFCRcFm2Y0+DiciJcJB2bhu7HH7AoAzNFg7ClSeVY6cDVk4nu/ZiLntcDl6Te6FxPE9IZ2incVGFO7XN4s5QMhW3EgzbO4kw/+zFb7RRgrQfXhX/ZkIrsoGyI0ywmLCbBX90R8ycHKb1a1cX1qHzDXHUMFZQ5bg8QrJhlU//TZUrxeHSPturgRCzrpMhHcOQ/eUBHQb3hXp3x9lXLsMfwnoPrI7gkKt7V1uklG8vwgV2Z7jezF9YtBtVAJjNDdUuZh2nEMKGmy+1geAo648yxbFB4uROC6RK6M/CIsORfygWJRmlJm+eEdwwlOPEjx9ryq3ElUnKlFyuASxA2MhAYju7bmTIX9XPor3F0IKciAuMVrzkPBQW1iDPe/tRpPhatSK7HKc2HwcAy8djMTxPVFqcusfVxRUEOH8oGAYzTGzd8iMjG/TERfISRECTm7LxdHv05n6qVBk1JKCuEHx6JIUYx//LEOLZuaTJk3CrFmz0KNHDzgNCuHdd9/F/fff35byaYiLi0NMTAwKCgqY8IKCAiQn889EJycnB0TvL0JDQ9vlC3G9J/VE3s4C/k5pCQiJDAn4iA0AuA3KUybCUe8APtjBKhqFCA7vzU0V2RWoK61DRJzV8DF3tlzvAJ2pyFwDwU0EJ+w/vLLa3YjOkgMzg/Sz5DVFPq6JbAWICMc35iBnfRZIVuf8ejkc9pbNcZOSk0BeR7BXFboacfirg4hJisHR7zJQZ6BvKK/H0e8zUH6sDMOvG9lqhd5Q0YDCtDzUl9UjKCwIXYd3R3SfGEt5EhGy1mTi+KYcLU8SgD2aQcIrf45fVPIYjZ28R4BKDhYhZ12mZ3YKzy1n3VIS0G9WfwR30vdW1JfXcxW5mgwpxMygq4iQqSgY5HAgQpIQBAUOKAiPCdHWhiUQMhQZGYqCVGcQIlVjEcDhrw4iOCIYsQPjMOSKQTjw5WFrViQgNDoU/Wf1tYhUnVeFfR/s8Sgqz2IvCvcUIHPVMYy4YRRi+nT25NdUfzkWg4QtwyMcA0lySMwHblqKQZf0x/bcarjr9ZtTrF4M6Js19xeieL/pJIAE1DU2ARLQVFiD3aUNGHnjaMsGVLlJxt7306w3BXp5Z6w4AofTAcUtm1NHpWZtmNfJdWQrCvpLDu0suKvKhYqcCnTp59/adtmxMjRtyTWFqhYVofRwMUoOFSN+aFdL3LMRASvzt956C6NHj0ZGRgYyMjKYdxUVFW0lFxcXXHABduzYoT0TEXbt2oW//OUvXPpZs2Zh8+bNTNiOHTswe/bsdpWzpYiIDcfom0Zi78cHgLpGpuWHxYRhzI0jLLOLxtpG5G3LRWFaPprqmxAWE4oe43ohYWwiiAiHPtuHhsp6qHMdY9cyD0mHFQXDDMq4rsSqzEkhRCdG4mQzbk0VlURY625CkkPCOKcTulNVHYDISyfDAQcUr8o0boZpizVzuVFGWXoJCvbko8xyTIndEMZ6S3WJDd/OAAAUHyhC8YEiloUBpemlyN+Vj8QJLb9G8vjGbGSvPaY9S5KEvG256JzcBcOuG8Wcyy9MK8CJTepuZ1XB6AO9fY2x+e82rCuG/WoQACBvWy6OfnuEybjiVlCwOx8VWeUY8/sJmhIo2lfIJFRBhGLyDNgOjiG3XnbDTYQKIswM0vMRFOqEyyuXBOCA17jdq8iY6gzSJZWA7J+yEDswDgkjuyE4IhhZP+UAmZ4japIT6DEmAckX9EVoJLuhs7G2EXuXpXmWnwDA0J7dLjf2vpeGCfdMRlhMGIr3FfgoPY+3hgxXwxVzZu2kEEIiW/+hlfAu4Zh4+xgcW5cN7M6Fd0KuVY/iXfIK9uVWJu//vM6OmrxK7Ht/N8b+YSJDVry/0PfOeAnI2ZgNXutiDQsFvFl5Awi/KDKmO/W693uTIhHyd+RBX2k37gPScfi/+zHuj5MQHmudlKh7LM4WF3zAynzatGn43//+x313/fXXt1ogX1i0aBFmz56N9PR0DBo0CB9++CGcTifmz58PALjlllvgdrvx/vvvAwDuu+8+/Pvf/8aGDRswY8YMbNy4EYcOHcJnn33WrnK2Bl2SYjDtgUlI25aLvXs8u9tHnT8QcYPiLEc36svqsOc/O9FY28hsPjv2QzoK0vIQHBGMiqxyOACvkvSNdFIwzDAoqa7GupJaFB8oRPG+AjSU10ORCZ6NVc11AkKG0gQJhBMKYbzTgSDtEDBxYzvh2UTU1WbtjBSPu5eIEBbj36U2edtzkb0qA+5G2Zuq1fVHpvJRhyejIvcF0vIFzRUPAJkrjwCKgtjB8ag6UYG6ohoc2Z2HmN5d0GNCL3TuH4va/GoUpOXBVdmA4IgQdBuVgJi+XVC0pwDZa46x6XgHoIqschz57wEMvz5FCz++KZuR3ajIdSklbQ+AGSGdgjD59vHoFO8Z+BprG3Hs+3Q1KguF0FBej+MbstD/4kFeN3KRd+ODJ8V1bu+MzgkMlPgeGwCoNDEP6xKuXTNsfFNChF2yjBEO72yOgOqTVXBVNiA0Jgxx/bsgrn8X/PTtIShuBX26R2Lo5CRuXgt25jH7SBiQx2DJ334SCWN7oGhPASSQpY2os2JPefNPCKiQnBJikzujvrQOJQeLkL8zF41VLjjDgtA9pQd6Tu6DUD/aM8kKSg8XoTanBE7FbfC/eLBOllFFhLlBQQi1VVLWTNfmV2HPf3ZgxI1jtH5frJ7b9+KQLKOYCOc5nZ4lMQLqyxq8mw9Vvsa+BYAUBHlPrfB6fInpir3mDJ6m2kZUHa9AQ2UDwhrcgNMJgNBACrbLCpwSEGNIR25SsOutbeg9NQmyy43gTiEICgtCYVo+qr1HCmP6dUGvqUnoMqBjf4wlYGVup8gB4OOPP26VMM1h4sSJWLZsGebNm6fdALdy5UpERXnss4aGBjQ16S6hpKQkrFixAg899BBCQkLgcrnw7bffIilJ7+CNjY246KKLNK/Cb3/7W/Tu3Ruff/55u+bFF5whTnQb1hVRBRWoPlmFzG8PIOt7CbED49FjYh906h4JADj0xX7P+jNnQKot0He9e9SX4h2M/JtRB4UHgZpk7Hh9C+qLahntpq9xmgZo71jnCHZAaVK0gc6oED0s+DKodA4QSJaRvyMX1ScrkVvZgKomN0ghbH95k2a9B0eGoKpLmGctUJLQWNOIorQ81JXUwhnqRPyw7qgrrsWxbw9zUiHUkIJsRcEgh4RgycnMroyUxiHoqCIjEhISmCUKYvJUR4RO3oFUcSs49t0RHPv+CCqaPEq00eFAaXoJSg8XIywuHA1l9R43r6IAkoTC3SfhCHaAyPfsqvRICeqKaxHRtRMaq1zM7vMGUrBZltHXwa5D62rHatCERARrihwAitLymR3iLiJUA4iDdzZDHqXYd1Z/HP58H2oLqsFTZpUKwSHJkJiBWy0zggQJDrhBcKBT906ISohE5fFKSKa7v2XyrFc7AIw2eJDMu9SdIU7PPx+bFYtN+0j2KTJkMvAlj+dFbjLujCZUkYJybz6M7m0HFK/BbG3bEhSEdwrGjld/1kI02euacHLrCRTuzsOoW8ejU7dIW5lJIRz6Yh9KDxWb32i/qrz1VUiEPt42mK8ocAPo7fDI5yKFqSX1d9XxCqR/fRBDrxnpec6tZNI4rMiQQDhJhCRJ9bIR2Lmw7hGSyLMLgnXS248/wZ2C0blvZ37eiZC9+ihyN+Wgwu32tByHR5FLIGyVFc+mRAIKDWlIIMgNbuSsPebZ5yNb06/ILEPFsVL0mNAL/ecO6bC73lt05VZOTg6ef/557N+/H5IkYcSIEVi4cCGjJNsLV111Fa666iruO54xMX36dGzdutWWX0hICH766ae2Eq/NULDD08EhAU1eF2TB7jwU7DqJwVePRFiXCNTksTffuUlBkCQZrGC9URYoMo6TjJEOdUZtnEtaET8oDgc+SmMJJPanepQNIIREhiI2MRpDUxLw/Q9H4GpqtLil/Qdh3zs7tLTLiVDh3cDlCtbX9ZpqGlFRXgdXtQvhXcKw/cUNHuUjeRzzeb+cgOSwzqYAz+C71i1DAaEaEqY5JSikAFAgOR3eTq8qHE8uSkEo8Q4GV2l8CQ5TaRcSIVndrMVfOtTcug2l9Z6I3nVYiTz1ojSpxpcH9UTYpShIliT0MKSdtToDjRX1lnvNDyoKqoiwV5YtAzc7k9SVPEhB3tbjCI4MQeygrqgvq2eOfK2UZbhBmOJwoodhs2LJwSKUpZeoQzgjhwSCEwokOLSFHs/wLzPKUFWI1NAIxa2g+8jucBwohdJo9SIYd3FLzpbtUlea9HVtzz4ST/kPIs/6PQDIbgVVx3WFJoGwzntc1NyuiQg7lCbESg7mnUNS4ISCxiofx8WI4Ha5ceizvRh31xTUl9ah9FARlEYZ4V07IX5oNziCnSjam89R5L5BRNgquwFIiJeACAnYp635s0sxAFByoAB1M5OhuBXDurynbnQvFryGuudZJolZCpMge+vT7Hrn7M8woP8c+6toj6/PQq62hGSF+XSBnqYOkhVDiKn9S0DBjlyUHCxE8pzB6JbSfptv2wsBK/OffvoJl1xyCYYMGaJdtrJx40a8/fbb+P7775GamtrmQp4LcDe40VjtQlB4EOpLavWGyyxyex7S/7sfvWawm/gOKzIOyTKmOh1IdHgcvcYZ2FavMgzT1vgMM2TJuC5NiO0Xg+I9ecwOYiOqiRAKIMRrODigwCEpqM4qwdGsEjQ1yV5+bNx0RcGAZtenCA5ux7SPV19cg/riGlCwtzmTrqqMN6DVESFTkdBfIkRIaikAFV4ShwQ4QQgOltBtQiLyd+RCcXviAhKsYpGmnNRnxqlNBHa9X6VUB1OJW7689e09ioJCRUEhgF97Z1gSCOVHig2c9bPaqpllB/adh1d9Sa1nWYAAZ6gTEQnRzIY1N/RZn3GoKz7gWSuXyNOmSoggk3HA11uD2VtjlsdV1YDSw0XoOrIHJt45EduWbjFP7QyRJHRJ7oyj3xxAxbFSgIDopM5oCHYgrIv9iRWSFQR3CgZK1NwbS8ILBxCVEInGWs5nTjnejRPejwedhIIYw657B0mqv1krARXMEUgC6ktqse/dHajKqfA2Dc+JkWNhQRh01QjkbTvBNI4GppHYKErS22iTl6LJkNNGIhQqhASHrmoPfLALET2iobcq3djReKqdQVK9Ep5ZslmBm1vzLqXRImdwRDD6zxmAhBT+Vw8Vt4IT67MsXD2zf+JmW/eUkfZMJlnc8Mzkgw3x3XWNSP9qHxS3jIRx9hfRnIkIWJn/+c9/xjfffIMLL7yQCf/xxx+xaNEibNmypc2EOxfgqqhHzpqjKNlf4B04CVJIECRJb3QKeQdAwwU9VScqDFwIh7zKeqeiIFGbuVlbeYPhjTPEgQGpyag9VAS5SUFwaBASu4ShaE8+NMVAQCMIpUSoh2fG1+jt9b8OCoI2KFS7oDgkwKmu4lnn/ftlBVE+d3brA49Vcj20ljzn5KP83rjikWOTrKCGgGIJmBWku2ldprPh7oYmVGaXey15tbTs5FX56/KVEaEzETbLMoZLEvqZvAOHFEKSgxAh6TPsSiLslhUMczjQXXPz6TzNR6HMSxXGWW9g/hB2iUD9KbtkVGWXo7lLIrsMjENjlf6RFAmEjV43qHVgZ+W1EQf1pXVw1zcirHMYhvxqGPBJmtXCkSQEh0ioSi/2vvO8LM8oRnGTjKg+XdC5exTSs8uguBVEdI9C97E9QTLhwHs7UV9eD5/DnwIkTuqF8qOlgOG6VqM3wSiOcZuYBFaZqB6LRgJcIERJEk4qCn6RFQxwODDKsBemKqdCKwfVIyI3uHHo0z0ew8/LVr0TwCiHTKoJr/MzXrxjZ5z/LMu42hGkG1QVDWioaIAECaotstdwwkYzUL1/nN5TCL7r21MORaS3C1XSXuO6I2G0/eeLS48Uce8RqLSdjZP2S32uI8IBmTDA4UBnyeON+UaW4ZCAX5k2aBKAY98dRvyIhDPqw0/NIeAzM0RkUeQAcNFFF/n1MQ0BHQ0V9djz1i8o3l8AUvS5tNIoM+ul38sKfjIeVyPPRhAVDu883Dgomy1TNUwy7CztPjIBIdGhiOkTg5ieUQiJCELx3nxLvJ9lBVtkBWmyV5EbXlvXv3W56znNwfeBM3bW1kCEHbKM3Qb3mEKElW4Zq9wymshqMDR6lShvt32td5ZSwWmnuxVWDdaXeC4JYbu4/tsB2Xu2lyxlcFwhbJdlNBKwW7Gur0owujo92CorKCPCJllGORG+d8s4bmgT5nIyyqqWC6/ONUIH0CkhEpKmOPTrdK28vUalZHw2wyNb4oSeCIkMhXF8Z5WZJ3YNEbJtvieqEGnHG1U0lNejtqgaDichdkAsQqJ0V7rDISFuUCyooRFerafrKG+y1cfLUbDjBEoOFKDscBFyNxzDjpc2YM9bv6Chot6rXGQ2kgGJE3uiS/9Y9Jzcx5A3U1/yobyMdCqD72VPu13hduMXb38+anB5+zTBvOvBKoxtWC3vo2R0nxNARv+cZ5f7KreMwmbvi/fGlySDF0LHLkXRvDQSgGpFsVzVCniOnlUQ24Z174y6PEXI3ZiJw5+loaGCf+Og3U2ERWr/NyRtNXI9z7/IhOOkYK1382e9t7AV8hwIyFJIu0pYAgBZwdFvDnLTPVMRsNlRW1vLvTSmqKio1TernWvIXnnEc4bTPMiZzP4GIphvDJcAxA2OR+mRYkYByiBkKAoSvetjCpzejSjqla3eziQBEXFhyPs5CydPVmlrzTDMWKuJ0CTZr0cZla9KUafoCiLXexmMSutJn3dpiGdDjhPqaW4P0hQFeaQYhjlWRbhgnYkcVAj5CiEfMn7t0D0H5oGyUNEHOcBzeco4w/43RTYOQKqLTt/U5yAAknkubPYpWGfPang9SSBSIHln58aZ3S+ygnoi7JRlKPB0Uju3NOA55/+LrGC8w4E+DgKp67YOzxnpTt0jEd0zGkHhwcCQrnBV1qN4b773nL1k4Ek4KMtIdgDhkkPLDUHyGhaAagQEebKP9I93Ijg63JRVdq8BAOxoRoH8Iivo5VA3kBEqjpZgzz88x0ormmRIDgnRvaIR0S0KAxJjEF5Wh0pDw1OIQCDt4iGDKPpfAtz13jVvCXCSAgLBuKvAGeLAkMuHoNuoBEiShLDOYUgYmwhs1z+soxtm3tr33vxnIADIszObGtg7HuCdobNlZWzHHlkKFEI+EUY6JM/NigQQKYDDwRyjMyZZRtaeYhwb8khGNfE9XyvdMkY6HEj0lp9D8owlbiJs4tx7cYwIQyQJ2Qphp6xo5/+N2K14FnsudZo3yJlkl4Cyg4WoOFqC4TeNR1Tvzsz7ENsPMBGckv3GQwDYISvoIUmoMrwvJkK4QdxvvDcVhknApYbxr/RQIdz1TZ5+0wHQorvZx40bh9/97nfamnlGRgaWLVuG++67r80FPFvRVNuI0kNFWhskIpQC6AyPUuM2Ts1NRgiPj8CAS4di91u/oLFcn+/KBOyVCQck4KogACTz3S9EyFl52NO5ifFUQh1YVvn8JKx1xpapKMgy0aizc3ZWozsfra45XYVU2858VMtesZSUcYVTIgJJ/FPqm2QZ5pmsPlOVPB5Nw8xcMhkhkrYuypeNNXLI4t0s925oGysRHGzhMyntlj0DYqxh6umUFN1zQ4RtsqeOdykykh0OEClwEKFzUmcoLjcay2tRUl6L4PBgRPSIRnl6sdcTZMiPV9IjCuEkARcFqfn0vNupuHVDxpTzxqp6sEcVrfXmIj0N33NQb8tQCMbDBaQQanIrUZtbCUdaLnqGhWgzciLC97KCJgCXG+LoZc66XdWwDIVQQcA4h+76lRob0HUYewVqr6l90LmkBpVZZZaZn8PbDo0IiwxBp1AHmgxntCVm1sz2BwcpIInl/LO6x0VyYKhBFoOn3ZQ3cxghSPLsXdB7lLUUVNQQYYss42rvZlsizybFTMVjJKgyaz2FgO2y4jXyJFRbxPD2I0N/sIcnstLoxqGPdyHl9ikoO1SIxhoXJKcDBdtyTNKbvZB6vzXzzVGA4yA4Jd0o3yjLuCjIYaFuIM8ERlu+Uwilh4rQfWzL74k4lQhYmS9cuBBRUVF46qmncPz4cQBAnz598Ne//hW///3v21zAsxUN5fXe9ulplEcJ2Kso6CJJmOhUTBuIPHDC08kUSAjrEuZZ021wgdehZQIaFUKIJGnneVmonc34DIA8ZzVl0+BjhCoXO5O2dlj+uq66gYg/uyB4ZiBVMG4TM25eYW+8UmfEauqeZQSPkg+CZxKjSNYz8cbZlQp9p4ECKA5r2ZhARKgCIdKgxNRfdZoRw8Rgno4rCo5DQoxEcEMfpqwzes/2IqcqMwEEz533ZkWipuMAoTq7DHqpSnDXNqKuxLrQYb5BrIbUMjfWLTvzNBonHq+KGzKc2s5+Y24rQHAxebIagno6pmfD8oFRSvXbAWrTVo3G1aajRxmKgnwiTHVIXiPZy4mAvd574RNJPQHiwdHl+zHomhQ9f5KEmKQuqM2vgtxg3Y3n8Ja3uuPbXV2PhipvqwwK8hgdlhwY/loUtI46UsuF4ARBcgBNsmpIemb07JFT8rYXguTtocb0bKYJBuh8HFo9WT0tgGc5SSsjLaauvBUTvbVdq+1Z0c6qu2td2PXSepZegvdCKf0omjFd/a/1LDvP2AYknLTxNq6SFfxanZ1LErOceaajRav7t99+O26//XbU1NSAiLRz3gL+w3i3tQQgR93AQ4SVbrUDsfB0Rk8nK9x4FIVbsrwfszDuRdexVyHES6yLM1dbZ5bUST7bOSQPF4fWadgBiJVH4UipviPmiQV/jpCvEOIlQh5J2KYYnZ/qxjgHSrUzvmDkAyTvcgIrkUrHSmNV5MZ0dBl9zyBPEGGbTIiXJIRJRr6mAUUiwFDuZj5VBqPOPN837ghX4QCgkAL+NkdejfieF+kx9TwUKDK6ed3eDps2UEOEYBBCJQkSEYLhhiKxshMkVHvPNRvz4ea5ig2nECQQGhQFeaRz0wZuU3kZa9c4QyxSCOpHXLMkz0kKtc3r+SFsV/RnCUDp/jxUjO2Jzv3ZpcTg8GCuMj+hEMDZfyAZDFBzq+AZvjKBc1OeeieiN06TG0GA9yIWvQRUHqpxxzMKjyqKIQavlXjueDcqYYektkFj61VL3M7Q139bTTv9nYodCjBB1Z9megkAedbuFXKjDJKJr7+t28AOwAGZP3IxOp4IIS38OM/pQKsujY6MjGQU+e23395qgc4VhMdHIDze8/lMno3Ib6CGAYygfZXKOAgaUQViFLl5pk8gw/EW74xHUXBCIdTDeukLX0ae4WFVkiqO+rgG9mdZwXaFkEMyzNa3Z0avYK+2Js8aGr5200qcjVd2XgPAmF/zDEB/zlAUZCqe8iwh3eXPDuB6Wg7JPt/m9Bu1MP41mADgZOpGLw/t62gSr+b4g6/61zgQb5aBbKWJUyYePnUk4we3gv+51dkzL0+eWaID5tkUYbXs1jZuqjw9GzR1um9l0jYm6vJ7NnL5apdWGTxxjF4MY30qJtkAQsZ/0yw7qD13kFtxxGtEctMn0pSxmi5P7oMyYblbRinpM2EHFDi9SyZmwxbMs8cz4jJdyuOx1FV+CtSJAG9pQD9HblwmIoC5YEZvK2WM0WtMw5B3jd76nQMjshUybZ7mTwQyiLDetPRXTAoOKeb6M4Ltix4a1aPh20vhCHEibqj9p6DPNPg1M1++fDliY2MxY8YM3HrrrbZ0P/zwQ5sJdrZDkiT0mTUARz7dA6Mri7yWp2087/+Mdre5c6t0uh3OWtdGlJJqb3veHyIJhxXPGlNzqCVCOMwfWfC9PlbDOVJjRJ5C6GZgYC4LY/xK0lMmDm0DKQj1bgZzMpeUWN10AJDLNTR4LkbCXhmIN5wn1rmxM0YJkufcvMTPM8+oUAx55MFNhDUyEA+gj4MtzzQijHMY2xD73jqrMSxRGGQAgDQZ6O8we18ImQqQwNXehtkzfOdB/VqAkzHKeB4T68yu2HB2+qgCFGg8JOavWYEeVDw7ms93SAj10UglEOQaF06sPYI+s4eAiFBfUoOmGuuZc3VGrR8+YRn/LBOGOYDeDj0XrHKUUE6EQ17DcL/sxvlBxrPsgNGdIJNnk595Xuoi0o5qSfCcJS9UCF0lstSr+tuh3TdhfCFpno9aEPYR26bV38WKXk/G1m+GAwq8h9y4I4MaUkOESElfLqgmBYdJwlAHvMtYnj0O5s2H692WHHiVtV0vVz/mqP4neXupFf0uGgxnSMc5muaXpH//+98xePBgzJgxA99//z0uvvji9pbrnED8sO5oumwosr494POMpooGIpAENBLQ2Xszl9r8eR220tspzbMBq1LRFf1hRR00fMsiAfjeDYRL6qBg3yl4A7I9jJvHfNNzvk0FowmzQgbmOhWEOxzarMSXFFssDM0zIja28exGOYcpM2irE2YYXcl8aLMiGxxQPK75KhAyTTJnKfDsyjfUPR/GcwN6udjNsI10EqC5v1VZFfIYhtES27okS0x7JS9JBOs5aJaXsVQc8FymY3W5mlu3B4cUT5s6ShKGm5JRHx3QFWn+xqOoPl6KjOwKlMlmSr1c6kzSlZOeag2AbQqht8N09bGhtI8pnme1LJ3GNLTyJJSShLVuYLCDNXgB4LjJANzr7cCjnc21M10a44+jCiHN58eU2Nkwj1KVfK1s7TtGWQHgBxn4jWHT5U+yBBcR8gkYJynoIfGdyGybMLv4jZJKTLhxjDG3SGeoE8lzh6JbSss/V3s64Jcy37lzp/b7oosuwjvvvMOlUz94IuA/msprvLNG60BknGcAnjPa67y3WyY6CJUKMNupfiHJzg6168yEfT5OC9nNnFl+xt3qrOzmtHg82Vkh+4Y3Y1U52SsofWlAjVVCQG8i5hIef2Ds9HYx6wyuwRob5WnmoStqdsHDV64k6DuKASCdc5KRTdSrFMk4nLFKyGzc2afNX59UWasp5BPws0EpaaLAV9tgzRoJxLlljy9jpqKgzhuqz2Lt+06GocwOKYThDmueAM+lLpGAZiTX5pR72VrNEmM83VXPqgazomDLQv8rmcpChRtAsUKIk4A0r4I+ogAFGpkn7l7ZPDv1cM+y7eP89NIVQhQIaX6ODb4MBfNv3UCXDOWg1xSRdzmKPJ4GwHNvxBYChjmsDcOsuO3WjH21d7U/Gs2Rzn2iO5wiB1qwAe7xxx+3hDU2NuLf//43XnzxxTYR6lxBXUEVCjYfM/rotMGT10kqDe05z2s155CEAT5GY94uVHhD8hS7mRjQnIIx0po7NnHeG3myccxrgCw/szrylR+y2TvgkAgubbbEps+HuQb0NHXlpv/fmm89BxIIlQTtik8zL5h+Wd3ibBxzntlnj2wOENRrPHmwK0MuFAXQPmjBx+duIJ7zkjeAWsuIpSlgLkNRVbSV+W7FvKnRQ2knpXq226hQzDIChLUycG2QgY8kAZJRJljiSRJwwKD8jArboKq0UKPhTpD0fQ4cHFcIJwB0lljvTxWpbdneiAeMS1HGOrczrCTs9fPTxr5gNPZZqXydeCFsUBTMDOLXX65JLHMfbm7zl0yqZ863PLqh0fEQ8Aa4W265xRImSRKqq6txzTXXtIlQ5wqKd6kXUZitel4HJezSZj7GZkxamNkC1TnwB07r7Jc0fqxcOq0+MNgP7ub1Ut5sxH5HuXkwMPPQ3+rGjUeeb2Rjp9cH6wIF+MGybmA3oJnXGK0uQn45W2egKs2PssrHWAZsHZo3ovmm4+VFd9NajR7J8N4Yx5yGle8GRQIU2SZdnV8JVwdYZ6BqHo1xjThBVlmMaUuWsrKHr/ZpvjfAWO8nFGu56fw4dWC65czqcWDTZZU9IZd0mgYCNsnW8ik3HG8zlh/PuIAljCebHa0uqx5uHl98bYy1b0vmlMzGXjEZ6XQ57Npec/my5kmntfP8AYSI7h3zdFardrOrCA4Oxv/7f/8PtbW+L+sUYFFzspzZCWyeJfB+WRWGZOl4LA87xWBOq3mFbzeDNvPRXVdW3uaBTA/jy8MfkDwwu5vVD0kY+ZQB2CiDc+sWz3gxy6DDAWv++bJbBw0JpHlSfMGsxI3DnlFx2bUTFatkwgnOwMgzDqy/jWUioYgI33I3UJCp/PRnq0HC5qP5POjKwkxnDGfbhlnB840lnY49FWFMZ4sC5HovS1EI+EUB2DyyMnm8IWZDzJgWYZXsuXTHwYRbS6AOQL5ipbGre3aU4LXP5hS52Ui1GlF8o9ycDktjNGBYKjtl76FtVAhZ3m9UOExpS95NrLpcPO8KTzbj5VTmsUgN0/k2VfGvjz3T4Zeb/ZVXXsErr7wCACgoKEBycrKFprKyEuPHj29b6c5yuMrUjznarZl5BlR1gGK3bqhQkK6oziH1PcHcxM3uPjYNNpaxy/ENBKukZhgtevNuaTsp1TDz949ZmYyx7K1rFRmKmY5sYvN2+5vzreeDOOE8WvV5s8KvDzvZeXKwdaQYypF1DVo34xHMrUNP0941rdK4tNal54t3SMvsEeAbe/w6BwjVXtexfqmrr5IlDg8zd75BKAHeZRdrDBWbvYZisgNoMtGay5EvB4tqMrrEra5c4/INmPI28mbbgTVNfovit3crWCPULg2jLJKF1syP15p9GQRrZM8nbo0ucWN7t8Yxlom1heueEHPftfYp9bls7wn0vng4giNCuHKeqfBLmc+cOROdO3cGEeGZZ57BokWLmPcOhwNdu3bFBRdc0C5Cnq2gJvViFH2IVhul3t15Z2P1ox6ejSp6E9U7rtkAYDsrwbp2zMpi7ijGgYZ3vMk4kPPWxqwwDspGCSvIuB5tHNAk247Is//NA6B5OJSYUHNnlwz54sHeqGBl4JtQgF5uPD72SqN5Y8qqzlh5fcVj0yQmxPN/BYADJ8k8EJrLQ+Lm3bper5f2D272vW4Q2m0P0+lZZdg8Viq+ylZPJdt0dJOFwlHLfIPJDLVkdM7mMrFuDeUpfGP5sMYZabzUlq7Xh7m984xdewOPlVOXzbeRoj7zjTQVtdxyJtQBcDM9Vi05MzcFepmab203tkujjCaZibDvxVVI+dMcOIPPsqNpKSkpSElJAQCEhobi+uuvb1ehzhkYdqGbZw/qb9/Dk90bXVXbD9zWQdP63hzHOEixw77RjSlx6HV5rZt2rIO9nQxWJc/mwOh686/j6vLaKRmePHbb41i3p5HGqq7Nsyze7MU6m+AbRWYFz2tXPJjzaCxXfkxPqGKht9Yk2x74AzhraFnfGZUcu9WQLU9rXYEJMZtn1mUXY/6Yy4PJ2o8k5i9rxLAnwPkmpq6EjQYfLGmwdc6q2Obd50a5ecqarXOeuWE1SljZrSmajSG9XswGBktnpLXKAQBuYvPByuy7r1tp7cZbNQKB3E3I/u8u9L9uovX9GYqA18wvu+wy7N27F7m5uVrY4cOHUVZW1qaCnQsIje3EsSxh6TC+BkFeZwU3jBfOV9q8zsrfsOZrFmRWMPz07eKwcdkndgOQOoshzkBjnfP4lsXIV0FzA4xxsJIMaZnTtPJm82a3Hs6u6ZrL0xf4cvveIwD402bYvPmqS2O65nKxysDKalY4xMTjKVY+L/MNeuZ2zStX/rNVgbN8eG3CSsP+tlPBvN92daH+tbYbHzcicvja5c9Ka23HVvDq17jWzabdXHu0tmP9r5mXtU/Zja9suuZ+KRFQeSiP+x31MxUBK/NHH30Uc+fOxcqVK7WwAwcOYNKkSfj555/bVLizHZG9ogH4GmSNncf/mZaRzleD12dYzXdQqwLi/7XKQYBp57Cddc8fKK1x+EYMy1NX9CqddSAH2HLlKdfmFZZ1I5i99a+WBaukmt+Ix87KmodVIfGMi2bdjeC1CV9ycgZFTlpmvvyyNitHldasOO2VtVXBWd9Jlvozyse2G8/ckjWw+EaWr10IOq29Ic1vR6xxwZ6tN6fnYGS3rxtrHRMjm79tzmjQWsvRmC9eHZp5+Z+eOczunb2RZTWgJJAW2FjZcT7rHfCCwE8//YS0tDTme+ZXX301Jk2ahJtuugnr1q1rUwHPZlQezPO0GcmzDgmojc3s+NI7hxpqdmmp74wx2UbKrmDyB1APF4n5a6WxKggJvE5pfOsZBpvbzczuGWDzalwZ5Mtj5WeVAQbO+oq1cVjkD856Wr7W0c1xjKXONybMsvJ3Mxjd2h4q3v4B/Y1ZBhje8uYq5nZhpDL/NcfRa0xP0dw2WHnsZn5muc0XjNiXuZ1s5sHb92YtPm9WblU56duxzB9QMfcnPZy3zmu/TGGGtd+Y2xNbd2w867PE+W0uQ52vuTXbxdHp+a3MzNu4YGI0Wc19TwIYWparXbmxRjOZwn0ZDWp91RdVI7RLJx+UZw4CVuadOnViFLmKXr16Qfb5/WsBI9x1jZDrXDAqCLtBzgj+OjLb1NUBx6wmzAOBtQvwFIx1lmc/cPL5GQ0Nu/fWZzvlx0vDrDB8xbMvY3YGZqbVQ3l1w5eAHUx4fPk8mhucdJ5WHnb5tXflWzmZ24FxgDanY1SavNVXXwqKB7O8/pSF+dl3+fLKwcorkLc889lojhjf+psfnYeRs7kefMXVeTRHYzZ87IwuvsfKd3/w1ad9tVc7ni1vX+a09Lph689orDSW1/jN/3QjYDd7VVUVjh49agk/duwYqqqq2kSocwFVRwsBeBsOsR8NsW+wPEXOC4fO28ezHm4Huw7ru0PZz1RUQ4Mnhz+dksBXSvy7J31Z3nZp2pdZc+vWgZSBPnjyZWTTsS8zNq3mjR99YGUNP75RZZXBmA7PyLPuUeC32eZnRv60B3/iN6+4/U3frn7J9p21LIxfFTMucdktOQUqI2CtA7PR5UsxBy6HdR2cDffPsPLPSOaNR776BWxo2PanKm6riQsAUuhZtpvdiIULF2Ls2LG46qqrMGDAAADA0aNH8fXXX+O1115rcwHPVrjKazyNynuHNs/d5mlmVteSeWeokcZ8UEWyCQPD28xH5aXC6Poyugut8zpVcvPeUvv1QfN8Vc+1cTavU/IHaSMtOydS+ZEp3DjLMZ/rNbv57fMh2UhiLB/9rdEQYWe5rLT8Gbxx8DGXu/mSXDbfdnNNMlCzbUN9b3aymsvEmiJbvkZOxpxZl050bqzrldcSjCXCtjKz0WXMmTkf/EUT6y5uY40aZWf5q6XF9lpjC7AaFqycYOj4cuhSsyE6B7bXGsOsLZoYGnO65rZqTN8sPdvH2HhW2dj6to4V/PKwtmG2ZnlGifkXKzO/VxhTrTteDozpy6U50xCwMr/pppvQvXt3PPXUU/j2228BACNGjMDnn3+OCy+8sM0FPFsRFu/Z/Gb9sgRvxsPCblD2vPNlqfJc18Zhij/DMLv1JE6nsT773kRmdtPywnhK1G6mwB/A7XZFm9Own+HYye8rrr9lwIvDj2vmYf/OH5msYbx41voxxzEbY/61Cx7s2hcrBy/P5nSsg7WZlmdc+e5jfGPO1zKQnRHGT8tKJ5nCrHx4ZcQrY3/6C5/Gasqay4qf/+baJv9Zb/9mlWsvJ68urEYumxYrg+9WCRBcpdXN0Jw5aJEP4aKLLsJFF13U1rKcU4ge0J1jKVtnPGqY/SDFm6exNNaOL3HpeGiuufNmkXx5Ti2sZWaEL+XcFjAO3C3j2npZfNerOS27z81KMM4uW5eOlda3Ymues91czRdP/+vEOu/3Ja/urzLG9S8fZvBm11bZrKqLP35Yy0kBvwx0On+NUH9g3qBoXyZtkVYb053eYSwgtOhu9traWrzzzjt46aWXAACbNm1CeXl5mwp2tsMR7Pm+sT5DMM4SjBYnz7Ik+JpVsNBpzf88/KxHbIz0enyjXL6seTL9tsa35kHnqSoPK0/ecRNzHuzybZ21WmeOVkUjmfJinc2Yy0znbSxjvX71WZWxfCULf145EyTmH2+motKx7UXilIWZzgy7+vW3fiTLex5fHj9jPEAylYt5NmdOhyeDr3ZjnVHa9QM9jq9+x8+3eZ8Hfxbrq8yss01em7Ya+UZ5eW3C3A956dh5Jnh9nZXNrs+y+WPzaM6bUXYrL+tsn+cVYsdWq6FC8Fz76vmnyyAhKsm62ftMRcDK/MCBA0hOTsZ9992HN954AwCwZ88eTJ48Gbt3725zAc9WVKXnaQ2HZwXbNUqzouUP9oCvQd+YhvmZZ1SYByLrszUtvuHAUzhGRWcdCHwZH/wyslPeZPltNVCMZWfNB8vTqLiJkQ8ajbUe+YrQnD+eEjeDHUDZgZeXZzuZeOVt5msebFm5mqtjY3s0txdr+VsNWLPMduXDqwMJ5jo3K3FdVlZmqyFnNYT4Rqa5/VmNNqtRwK9/XzJYZefJoD+z5WEMN8tpNb7Mafiqd3P5sWFsezL3fZ5M5rohTrj9OMA3/oz9QtE+6KL+C4IMB8kAKQhLiEFHQcDKfOHChXjppZdQVVWFnj17AgDuuusurFixwnJnu4A9Srcd43YePpp7D9NtT3b0PKs6MKgyU4t5tCxd//n55m9WilZjpzl+drMs/2Uw0tgZWryBlwdfxpr/7YpvUPri5TtN1qDxJ57v2bkdf3s0V3Z8w4BN1x9Ipr+BgDU++LNV//JqnqH6J799XfDKjz97Z9uOL9jLJHF/+0Pvy4DxLZdV2VvfO6EgemCCDy5nFgJW5g0NDZg3bx4AQDIsKAwcOBCNjY1tJ9lZDldZjcEK9xxT4c1AWZhnGtDi6THtOgHrBeBZ2kY0N8BZZ09my95q3bO8zLNHO5ejtfPyZyLm380PBvZ5ZGdhVpjlYOuE7xa2S8ssFztzsfIxz/yN782zUD2Wtb3YGXY8ZcCLax3c7crVGs7OxtW/1vxb6a3gzfCt4M3+eDJay9c8K/aVDoE9fsbrJzz5fRmQvowrs0eL9UzZy8m2G6sS5M2U2XRYvv4qdHs57GTljQM8444fz96Y9KXIAUCSPP+qM/J9UJ1ZCFiZV1ZWwu12W8IrKipQWFjYJkKdCwiJCofacfRKsCoQq0vQrDTYmZC5k7J/AfuOz7qv2U7Cuu7B8DOmq8pnHQCsig/MbzYdozz88mBpjOmYFQ3rPjbPYMwue55rjuVrdumyiteXkcNLCwx/c7mxZctz4ZvprC5e1gA0K39ePVrltRqX5nIxymU2bszGESuDNV+s0rAzsHjt06qk+DKb82uuW15Zen6Z64f9zTOUrAaBuR+pNNa64rcdqzK1ps1rR6y8PNc5a6Dx0rMaWdZ65fUtXl9i5eK1Z57BYuVh5cvWD799+QEiVOzJ9o/2DEDAynz27Nm48MIL8d///hfV1dXYsGED3nrrLcyYMQNXXXVVe8h4VqLz6D4AYGqwgJ2VaWdJ8hQqb0Dhx+E/s+G+Zu3NW+h8Je87XRZmRcTnzX/mzXD4ljwPZjl5MwJ78IwCvozm8uTJYD+gBgq7WZC9Z8Qcn98OzcaMWaHz0ubn19dszGhMWeXgGRasDEaFYyeDPfjy8/g0N/PzBX/aefO8zYqOZ5zYp9EcJFN7VNO0qxurAeerbdj3dXNdmukcnDCWZ2D10pE+tBLw0bQlS5bgL3/5C2644Qa4XC7MnDkTYWFhWLBgAR5//PH2kPGsRGRSV8O3dvmDWiDNyENPnJieZ/ON3b5h5CMx4ewN6WSiMdPb5cNKx0pm995eXusHEO1p7eVtLl0yxLSnUwcNKw2Pv7mu+Ok2Xx68MlCf/CtLiSszX5ZA26eeBitZc+HG99ZWzXvXfB3y2zafVkLzdW0nV/MytB18l4F9f7aTw7+2YITOS0+JvXTIKKtO0XyZNdc27ORoNa0koVNyNz95nX4ErMyDgoLwzDPP4NFHH9WudR04cCDCwsLaXLizGU01DWCVI3GGDraZG9+qylQPY7sNmWg8MM8erMO9OZ71Hji9C5pndqphIhmo1F/mOYEE9uyyLguZ5GJDzbfOGbsjW4ZG6c0SsTDf0qY+qfxUWc0zRrZszaXFys+GGQc7Pj+7nBr56XXFmhhsO9KlZwdXXRrJkDtrXnXJ9Lqwr01fKsPc+tg2oFMYa8vYiniy8WdbbP4Ixl7D0rGlam27ZnqJyaG1P7FP1poBw8HYvux6o7lkrCUmcajYdmzMgRqXnRXz+fM/2mRsTWzeeYYpMfKwZqB9+bElzPZpngnFTorMY6G5PNkRjqvQvZd5BUeGWt+doWjROXMACA8Px8iRIzFy5EhNkb/wwgttJtjZjob8cngaEm9NE8yz+o+l4a05wsALzF/zICBxfvPimdPnd0RiaNUw63qbdV2OlxYMtFaZ7dzB5jK0psvKy3Z8M0/7cjTmj3220vFUgrnO+WmY24RRJpjo7dqNUU5zW7HytBptbLjde14aLHznj1UE1vbDymHl0dx8jWfMWpWQtczsnvk8eO2H35f1ejX/lZi41jLljwdsPu3aMds/7PquHQ8Wxn7Ie8/myxrPyqu5NmMuc3OdNzeumMuzmTZD+o/G0o7zoZUW3QC3fv16pKWloaqqCmS4jvTdd9/FwoUL20y4sxlytfqd3JasrfEbo9le1WkDT+FUgT8Q2OXDf57meQCfpz9oWSxVjrYEm4dA69WXMvYVR/LGObPbkQfGmm47WfmczN6O9oc+k7drlda5L59Pc626rfi0jr7tYedzMns+PCd/HJIEd03DqRezhQhYmd97773417/+hWHDhiEqKoo5nlZRUdGWsp3dkCQ4mKZkbGisc8kYZmBgUlRWlcV+osAY6ut6ToCvAM3uQKNcrKNST5WlNSoEq+vT6qg1v9HzbJbOLDHLWbLQsTm1DjJquP7Gzj3NL21rCZq/z06WWPpgzZNR/20M5bUTPb/mJRkrT7ZOJSa2CuLEgikv/De+0uZ9roP9MI3VdW9VMNayZWfwxIlnZwgb5WHbNi9vxhmefUtk88nvydaUrUss5rbsq+ewbcu8xCIxtNZ+w/Jk+xvb93R5+HNtc05ZlamXiJ0BxmsjLL151GFlM6ZlrH1WWs/9HKw5FgTPp7wVkrSbOjsCAlbmP/zwA44fP46uXbta3t16661tItS5AGd4CAA7d5IO3nqt+b0xPkvHdh5zmD/zF/29Gk/vFOZ3xvfsb2O+zDKZZ4zWOFYZVAnMSk2PyytPa175ioong3nosQ5MzefbmD4v/2pcMr03psnnYawXa5hdmsSl8z3P5LtPrfm1W5HU2w2/bUrc3+YyNxs8uglpDLPG8wWjvGyZm/NmZxCY0+H3SX5/ZOOZ2zFfVqsZZ1ee5v5hprfrc+YylEz0/DT58N1uCDz57PZCsH+N5cz3k/DGEr5M6jPBo+hDu0bzMnNGIuA186FDh3IVOQC8+OKLrRaoOXz11VcYP348pk+fjtTUVBw4cMAn/aZNmzB58mSkpqZi8uTJ2LhxY6t5tgUcwU5v41VsOqwHEuwGIfUO4ZajuXRbGpePwGT1h79x0PRPHt8y+FMe9kZV62A/IAfGOxD57LZ52cN/ervy8pXP1snRur6gojnjmg/zGjvLq7Wy+Eq3NWm1Z/0HCjujJdB4gZaDr/4iAaDGpgA5nj4ErMxvv/12PP/888jLy2PWywHg17/+dZsJxsO2bdtw880348MPP8TGjRtx2223Yc6cOaiu5n+mLicnB5deeimefvpprF+/Hs888wwuu+wy5OTktJhnWyFycC/4HpTI9N7OuvZNY7VErVa/xE1TdT/x5TD/5m344VvQ/sA86+fPHAPh53v2octnP6u2boiy5o9XdgBb5mx++OmxshvryTrbVvnxeLP5s0vHuknKHM6jNfPmy2+cNZkVJN/AsBppvHz7Huj5/Yo38FvbGdm8M/Pl9RVeOJ+/mgYb1z4v9h4Mvnz8McDaLu1msbxy8ac98T0B/Lprnp/qeeCNLXy5/fMamMuctDbm+ad/bMVdXc9J68xEwMr88ssvx//7f/8PvXv3RlBQEJxOp/Zv/fr17SGjhmeeeQZz587F4MGDAQA33ngj3G43li1bxqV/9dVXMWTIEMycORMAkJqaisGDB2Pp0qUt5tlWkII9Rc9+pUff8Woc/OzcbxLz17pbVoLeefk8iaEHJ001zKy8rOno4exOZXO6xMhmlYVMtOyAbqXl/+Pl21xeML0zGzrW3b28gcU6gJkHHskUbi57toz5+bUOUuZyZnnDkj89X2w98WQwKjVe22LLxiyntR6M74x5N/Nm04UWj82ztd3z6tsaZs23WQaegWdtE3o58/uqtR+aDRRr/ZjLhFc2dnkx161VqZNFbnNfto4RRp5sHF/9yVpO5jHD2h7M/R2AKW9Gel9ys/VobfP29WeEBILDOy4rrrN4Zp6SkoJ169Zh7dq1zL81a9Zg1KhR7SGjhjVr1mDChAnas8PhwLhx47B69Wou/erVqxl6AJgwYQJDHyjPtkLVzqNwgLw3FimmTmSGVYG0BnbxJZu/xvdWxdE6OawGS9ugNXz41jyfznrm2r/07erTrGDtaXzztqbPL2OroWilscJ+Fu5PufNkY8N9z/b94+lblkDemfNlVYzNwUrvbx8MFGz/tK/T5sYbc3uxyuW7jdrLxKf1p337PwaavSB246dNOl4CBwihCV18pnQmIeANcH/961+RmprKfff000+3WiA7lJaWorKyEgkJ7FdsEhISsH37dm6czMxMXHPNNRb6zMzMFvNsKyhNbk0ZOLy/7Juo/k6lVCEZKHzH9Y9/c3HM6fvmY4Xv+C2Bys2crl24mcb63k5Gtqw9cSXtr6rYreXG8jPSs7LqYQR2h7Z/MKbse9ukSs+7EsiYtrHdKYxKCqweeS22ObnayqwLPA1feWsu3y2P62+d6+2ONREC6d+8tI0qz56e15b130Z5eDKgGRp/ZPWHxh8ezRh03pdB3o3KHQEBz8yvvvpq23f79+9vlTC+UFfnOZcdGsreyBMaGqq948XxRd8SngDgcrlQVVXF/AsUnZJ7AGBnpvo/s4sVXlo7VyTvt9VtZnbjwcDfaK3qMvBnITw3pb3bjnU3ghNmdZOzs3arhW12MRr5sq5A8zuei9PsqgUju9V9aXXr+ZYRnPhmlyFMclll5Ze5NX2jDGzeWPl5s0tfLnGY0rLWLz9PxnYNTlyra9coI78++K52K621btk6AZeftT7YvJl5s+3DXIasK9laB3zXubVMzfWt1i9bZnblq6dpjM++N6dhz89cXmz9suH2fZpXrrx+yxvPzHXO6xO8NgJTmr5ABLjySpulO1PQYS6NiYiIAOBRpEa4XC7tHS+OL/qW8AQ899M/9thjgWXALFs/jzdAt7ABq91u7mjwxjE+2yl0Ph/2L18BmMFX6GYaK3T72JesvE5lzYfxSJOvtH3ly/zXDF64NU2rvGo+7cun+bK1k6H5Mmfzasfbl/xWPr7LyioH2z7MytJ3XJ3Gn7m4uVx9vbfvD9b3Zn729cAqdDXMd32zfHn+EDvZmq8H8qONWPub+kwcWl58X/BtXPjmaddmmiv/5vgZednRNgdJIrgrzuIb4E7XpTFxcXGIiYlBQUEBE15QUIDk5GRunOTkZJ/0LeEJAA8//DAeeOAB7bmqqgq9e/cOKD/u6jrA8B1zPsjmrV14oHxYSOCr1sB468/NKU/fsrHhUsB59idtNZ2W8eanYc/LV/lKsDuZHZgMLS0nX3xb2yZYHmQIscpppOVRtUyetoBvuQPhYz0Tb0Xr8+lLTr2E266lBCpD2/FoeVk1x1uCI6zjuNk71KUxF1xwAXbs2KE9ExF27dqFv/zlL1z6WbNmYfPmzUzYjh07MHv27BbzBDxueLNrPlDUZeZD0jq27h4yW8rGe5uMVr2kvQF4TdloK6s0xqbLpsMqY0n7v/nZnA770Qhj2mya1kFQjcPKYZwtWD9BY+Rnv2LIlhJbIrw7xtRY5puzwITzP4ch2ebDPBczqjarDGCo1RSsqcHw1sjdbEAZa8SohMD5bebIl5KlMpca2zb0J7t3xPw1UtqVidXQIQOl/s5ac0YJeB+v0XPIu4PQOn+1tm1zzzKboGw8PbfGMrKmpOa6+dLglTw7duj1xfoFeGVnHYWs9xLyP1XCM8L0nJrzYeSkS2P+xXu263csjVkeY3n6Yzx7YjsjO84HxDrUpTGLFi3Cd999h/T0dADAhx9+CKfTifnz5wMAbrnlFtx0000a/X333YdDhw5hw4YNAICNGzfi0KFDuOeee/zm2V6Qq2rhkABj51P/SqZnfYAg0zuCteGzfMxd3fye7UrWtVb2GaZ/VpVplouVgWBNx5oPI292cAS3HFgZ9HTN64aS6Z0xX8YygZZ3a93w6Ixh1no0y8+TgX3HloO5LsmUtnmNUy8Hswy8MuDXK8CWu5oOmfJDHP56XqzpWcsRnN88GsmQbz2cTR82+TfS67zMZWJtU+DQ+ZaB5243r9fyeJvbvs7XGGZuT/z2aDd2sHJb2wYxNKycZjmsfZiVw9of2fZobdNsG+OPh3b9jkdnlcfaRsx1Zc6/BAJIQUdBwDNz9dKYefPmoUePHoyb/de//jXWrl3bpgIaMXHiRCxbtgzz5s1DeHg4HA4HVq5ciaioKABAQ0MDmpr0c4FJSUlYsWIFHnroIYSEhMDlcuHbb79FUlKS3zzbC46wEIDMHccXAqHVYR4k25J366B2YI+E5oG9LSXyrwyaS/d0lRE/XL/XP9D4/rl5W4uW16HVoDHz8WcttiXvW0rbPOxmf/7G9Q/+pCD51W7s5Ag8XiDLPnYGXVuDt8Zv9ItIhuXPkK6d20mKtodE5mvcmoHD4b3sROIXtSzLrZeqg6GqqgoxMTGorKxEdLR/d/m6ispx8vXlUDvJu+5OzHvWvQvonUl3zfPdsKxzzW5QtXdpG2EdRtlwu+7Gc18a40raXz0ndm5s82DASmwMt3OLGsvN7Nq0cmclsMrMlpZxqYMsNGZjhXX/m+uG5wLmfUSE5a/njseTnxfjs12Y3cDPlp0xnrGuzU56MsVnf5vDjLk0th/2HSuP+pbtJ3ac+Wmay8SuVcKQe3N7YVsUz33O75O8cmFhTRdaPvXcG9ugWQpfyty8bGF+Z2dW8PLKS9mYAmvAs5LzPgTF8jOOgPp7O6PBrs2oz9Y4vwv2nGQiIvR54DcIjonk8OWjJbqgrRDwzDwlJQUvv/yyJZyIsGDBgraQ6ZxAcFyMoRmZXaRsY7e6wMgUbhzI+O/t1C7reuKtYbKwqhu265qp9TfECTcOOla3nR5mXr01xjUOD+ZBjJeeWrZ8WvvZgHlQtvJky4Ln+jWWt66CzQrdnK7vurPG43/fij9LN9MYTR6+PDovlrfRpGDrVf/NU6vWcuS1PeNwbTY7rTskrO3ZzMMYT3/HqhmjAjTLa1afxnc8g5JXD9beYvSaGM1F33z46bCcjQrfWqdsD7Yzw+x4W2XwLRtvOckcl02Lb5Bay91oWvP7kvVJLxMtt6R/+MUREszNy5mIDnNpzNkG18kieJoOb7DmDXYsfCkB/xWUPewHBeuAys6K/OXVEnn4ipE/2Nnx4cuow3fZ8w0POyPCv3T8iWedGfnKhz/y2BkzzZWPb36to+EN0roishp7/Gdf8NVWrIaib3ntjazmy4IX19rG/XWINz9emNsbvy3ZGUVthdby892u/Zm8sPQKAPVT1Hq8YLiheA0ppd4FZ3jrNjufKgSszNVLY4qLi3Hw4EFIkqRtipszZ06bC3i2wpXtOQ7nsFWA/q6JWmmsit6sbHn7wX3zaIkc5nmQeW5knHWzwzWPpz5rsroazXF48pjTNZaJkbP1t/GZ515uHrxy4L3zFeYPfzaP5vz5gnFGZpaVbQvExADU1uSvjL7Cje2Tp3Dsl41UGnY/u+82bE3VOp+zLn00V3essWt0HhvTYun5O+xZfv7Uoy8atfx8tXeAV8b8JTijbPawG2es/UvPI2/8MufFuqxkNws306nvPOnYe+j0musoCHg3e2NjI/7whz8gMTER559/PmbOnImePXvizjvvtFy+IuAb6kYLz2/1r2c2wtLp4dadr8R5b5zxW1WPeYexecet8a+Rv3FHqFUeducuuzRgjGcE25F4O2t5nc0otzGeHsdYHmyYsXx0vsZnY/nreTEPk9Zys8pjLj9jelb57cqblc0ah98OeOWi14W1nI1eF5j4whJmrDNz+bFysrzt5TfHt8aDiZ9ZRrOLn5cnc97ZMgGTBj/v5vR95Y+tA3OfYvs5r0+a88GWrzlP1nzZlTFvHDGXPa+/WvuZNU/merfKbM6rXV/ktV2Y/vLagjUta13bmSbGvHrQVFDik+5MQsDKfOHChUhPT8cXX3yBffv2Yd++ffjss89w6NAhPPTQQ+0h41mJsP49vb/MjZTfudhwOytUh3mwtbNA7eLZ87fKaRePP/A3B3ZQ8/y273j8AdeYnr1tbR5A2Xh8Xvxw8+Cr09qlx+NlB6tRxq8PX/TmuuArfH58nmFoHejNhhCbLsvf2n6t8tnHM+fBTMtXzPYwG5jmwd5qbID5beXtW1EY+Uqc8uLLZS5fX+3amiceP7swlr9VifLzzMppVy72dWMe4+zp1ffNjVW8dt3cmGWmbzxe2AzVmYOA3ewbNmzAzp07ERSkRx0+fDjmzp2L8ePHt6lwZzNCu8fC4W306vxcXcPR4WtQMNPyO7D+zuq2lwDYX7vQfmjOKvbA45ok7289d/y4kpeGmLDmhlXzfLulYPk0ny6L5uiN79V69D8Nuzzay6y3i+ZUIM+olJjf/FoLrNzN8rBtufl2bpXT2nf8lc2+3I1Kr7m2wEvDHMZLxVhDzcvqH+zS8cW3uTjGvmuWtrn2a9duAs8rm0bLykoKcgYc53Qh4Jl5SEgIo8iN4a29Fe1cghTkRHBCHMyzZrNbDmBnfXxXpdkVZ3aTmWdhrKtKt1jNFrWvmYD5ndnNZs6POQ2et8B+FmDvKjOnaXZNg+Fllx+Wn54nNm++0rC6063lYZ3tWV3EPPl45WTNs7nOjWVnVyY8PmyZmMtefVYAmMuLFw8MP1765nA7D4bVVcv3LviuczvXPjtzM4fx3eLmsubPliVu+ta+y+vHbHxrGbHhVje+dYbLm+0a+5XVhc+Gm8seTJ6MMpp5s+3HLIe5Dth0eWOAysuunbJlKcFcR/4Yw7oH9cxHwMq8a9euePrpp1FfX6+F1dfXY8mSJYiPj29T4c52hCYnArAOolYlZrUp+c/2a2Esb4nD15MmGfiYlbxdB7PKwioPNYw/8Jt58gwKPR+8gRg2tPwBympg2ClmHn9f7lezkWQtD57RYOTdnEHH5tmqMPlGHCz0rFvbXFc848KXsmNlsvKyU1Bs+7Ib8M35sBqLYHjo8luNGhbm+NayNstkLBtdHr3f6Hm0tiu+otf5WnnqsvAMGauhZj8mwIaH1QDjycSOETzlaaTl1YFdPs1GjZ4OC/4YoMYx/t88Pugy8cYje4WuUof27WFDceYhYDf7q/+/vS+Pr6q69v/ufe69GSFACAljmEOAQCAkTCGJyuSAoqJQRUBt1Q5q7U/tYJ+KPj99r34calvtqx1srT5bax1r8TlVUKuAQxE0yuiAzGQg4x3O+v1x7jln73P2uQkahuD+fj6Qe86e1l57WGvtvfY+99yDefPm4ZZbbkH//lZFd+3ahQEDBuC5557rcgJPZLS+VQsG1V3JFryThBguhvnjedMEv7PS+ju5iI4HZDCdKhpSTWqd89o9XKTiW2f0866mpbPxmHTTm5rPblwrzpH+Frhqidrbn1TouN6p+7GdR2fr1tGWVSrh0RFUYyRV/qnRcb27Jo03vep3MGylRRW7q8bsF+NZ6jkreP6z8/DPVqJS131w2MJ85MiR+OCDD/DQQw9h06ZNICKUlJTgggsuQCTSfb4wc6yRaGoF2tsAuPtDsnARhbr6MJZoSYv5APIxKjee90oKKJ+YL1eC2LVlrVbM0S3BjiF/ZMU/bLy3dNmpVZOGNwf/UHMnHOahQKTJy3O3fnKNVcqVv1x/aV5lQaTJXy+5hQAvD1WTityKKp55ue6HrOC4b9T5qHnhPXql6jHBvUnuoyqFRRYgIi2q2/z81PtjuPTL5co9WlUDb3pxlPn57Y5Z7zUmIh+CWkgcsfI4k3uXH14hR5DbxcsVsS42tarR7ebvnWts+OcaP0R+yTe5ye3sHTVuer+CJvJFnktUPUKcEfx30UF4ouS3M7oPvtD3zCORCC6++OKupuUrhdb3Pkr+EidCsSPKU4FaSyRPuJiPnJ8sHlSauUqo+NP4T4V7h65Xqw366+bvF5fyIBcpVW0j+NUgMY5bLlOEB4lodzJ2JxSbHr/7jp8HonDy0+GdTNTiNsjiUAksMb6fr4DMO38vk9N7eeEVA35FQMU/kWYxDvO8T9U3/XmJ/ch7rafablTzw9vvg+rizds7Vr0Kq78dvHnJAlEl+lTt7l1DkttSzW/VOBTTeHPxpglCUH8V/wbl4W8HDlF18tLg39YQy5NvzZPjiGPPqwbIY1S+gjyMGBLgAOOB15Yfj+jUnvm+fftwyy234JZbbsHGjRt94ddffz327dvX5cSdyEjUN0EUiJaQcBE0SbrvVIO0M4MsODx4ALphQQO1a7u8VT+1whEU/4vSIE8O3r1pt33UAlSmz45rxwmKZ70PHnxemoLK6ji9m4e8pyznfXiTt5zGm1ZV79Tt1hFEHqiETkf9ujP9ImhPW2WB+iEK6WClxPuus/01qB7+dg0uS34vCkpve3WuTYKg6q/BcdVjxJtfKlhjyFufjvIR47sfVRFpN2CCGd1HkAOdFOZ/+ctfcNttt6Gurg69evXyhb///vuYPn06du7c2dX0nbAI5fcRBiMgToLiIPU7AgVbun4ETSwqDVgO83ZuVVhnyk0Fv+OOPKl4J1gVrUEWyRelyatYdVRX/0TrV0LUeaRqG9UqRmoB76XBTSM6Y6ms7mC6xTy8imdw2TLdKovdr1TIfT+VwPSWKfMitbeAX3npaCzJ49HOJUgxcsvxtq1bTzmdv3+LDmZeur19Ut0eaoXC3zfk8rx18NdJrJu/TeXyZRpTW/rqfp1KMQrua50ZG3Ya2SlVFZfHYzjM75AdU3RKmD/xxBP485//jLvuuguDBg3yhT/zzDO4+uqrsXLlyi4n8ERFxrgR4LA7rdlhBxWFjDvgSRqUbtpUHVWtGAQPJFepEJUL+b2bh5pOuS6pBXBqK1ikUf7tHfx+AeRVnlQThl+YyAJRbcH5J28vr/yrL+SJ7+VXkAKnarNUAsIPfzu6NLntI/chFU1iPgSZ57IiqtpO8L/ztpVNqz9crez403jHgUrQqOJ536v47+/fqQWJv0/JCBIaKqVB7gPBCrjcvuJ8oVKcxbbyKwre/uBXyLxCW3zyt49KQVQJcJk2eOgU660aa0Hjw88rGQwAIyD2ya6AGMcfOiXMW1pasHDhwpRxrrzySmzatKkraPpKgIXtr/F0ZH0GpA94551cxA4uDhTuy0Ml/DurlXonF/mdX7j5tfngJVO/RZiKRwzkXMajmpC8dKoErL8u/mfVqknn9hq9wk1tFaZq36DJSYzj568aKgHYGQQpaCrlTUUDU/5V9wkVTeJVyDLU/StIAALkmQS97eqCK4WwmL+3f4vPIu2pn73COUiZE/P1r7h0duyq0Pm+E9TW7nPwOA/ON9X4VtGZul06UrbkPOR2S9Q1BqY43tApYZ6ent6pzPSlMZ2H2dQCwHSEqreTBVtc3g7snbQ61jjd337rwG8hqtOqoZp0vZp2MLhzEUlQvvLkmIo+6qA8v2WmQhDtqnraf4MmFm88b/7BE7+cXt1mXiHmzYOE336oLKKOoZqYUwtslcKitjjVUNGojtvZOnjje602mZ8s8MNI/vz8dfULNxX8FqiXPhXtKsGp/h1Er58O1W+V8hss0IMU9FR0dFaQ+9Op2sZtQ9V2BKDmsdsGPLNzsu94QKe82WOxGEzTBOfBsj+RSCAajXYZYSc6ops/TnYYJgxeubuprVRx904FUsYMOoYBRQw5Lyb9dgWDPQCCUhJET3tyUvqPJ3m1Z5FqCHERUAN/GtXRGTeuWy9ZkIg8k2suliBzwQ1XC1LAXx8m/R8sREVFQ+SwxbfUQt9LgVegy6USxFZ26fKLiFTKhfd4mhhf1b5ynl4a1fyV+7UYw21TsWeKJYol2LWWhU8qtcereKl6kk1dkBCT+exS61+1YCBn801Whry+8/6WFOukosTfBnJvUtHt8l2tMsu89h8EZEIu3ny91HjfqPq53Eqq9KoVT++hT//YYwAYA4gAxoHwMP+28vGKTlnmc+bMwY9+9KOUcW644Qb9CdTDAMXjnonE/duRlaKazLxxg5dZ5eVg7z6nOk/Vvqo8Ccvp/MJdpf3ag0slxPw0yvT6eSVal95Bqlpq95Ynf45WGtwpBK5MgwrB++yplDHV5J6aDm/9KWUasf24572fFtFKFMtR0+5vD0BuE/VethsmI3h7Bsp3wRO2aqk/iKfqMr1x5H7ijRPEq9Rt6QoqU3ijGo9BvPDSFdyvvXvZoiCVBaqqb8ltE9xGKprduP7+Le/dkycfVb28dKpXyPzvApV+BjAiJD7fGxDj+EOnLPPrrrsOJ598MqZMmYIlS5ZgzJgxyM7ORnNzMz744AP8+c9/RmZmJp5//vkjTe8Jg1BBXwAk9Va1pu2FX5f1aqIkvffG80O2mlJNbv44qaGeyNRhotafWlNX5ee3/NwUHOpzpp2FypLxTzKq8r1WjGi7yH/VtPunGq9V5trtqb67rapTZz5IItKtrk/qMqDgvFrAdyYv8S/BrYOXbyreyjR5yw9SAtW9VA2vIuNa1cG3GlrUB/EpuN93jm8yr4J8DMT5Q77Sxq1BqnTed3JvFm1x1Xjx0inDpsbbZ4JUDlX+al6lHh0uYp/sQrhwQCdjH1t0Spinp6fjpZdewo033ojbbrsNDQ0NYIyBiNCrVy9861vfwo033qhvgDsMhIf0B+MMjEyAyQu38sQpD3JRi1aLff8QFAWwOzRM3zCRIQ9Kv2XrvlcNWJWQkgWROyGnLln87S48egW2nNp/b513cyJokpTv63LhXzyVJ2zrjUpwqdtSfNuRsqAW7WLru3V0xYO/bq7g80+Oqv4nP7txUyuLshCw281Lvdif5C0Ebx39aoQ4yatCxThinmqB39EYUIs0gtw6HatFKiHvvucATPjVK78aFLxl4m03OQ8xlr9eqpU8eVsiaMlevVTuF6jBd0Oq6ZRzEUeN2J9USqnMs44VWxETeZv8ovNJjzk6fQNceno6fvrTn+InP/kJamtr0dDQgN69e6OoqCjlXrqGGowxsMx0oLkF9oBm8FtnwVorMIpFsYVcBco/mbq/vcLdzlWczGRR443rTS9Piv708m560H6yH8FTu19B8ddHpE8dX4yjUjNcpcdbK7WCoFK03HbwC081vDTbz17+jWFRfEBpnnR+HqjEgNefIPWStX//1+Ufk/ISLS6ZDiuUw51UVVN1R74d/roB4vKwvCYht4os4OQ+6O8nqQS7WCcZweqNXI6XWvXYEdN4eS6HiTGYxAExd/XID6JZbGfvsrtaJU3FNbVV7S6Be/fhyZNaVCK8tRDHpbgC4B3HMtTqtIsxXPb76k575od9nathGBg3btyRoOUrB87lxS93clFr1+KkOZm3opEMT1oR6knFPzl3JGhTLffJtpN30hIFknci8juoBNGmqos8ufkHZsfCU6TRa2UF/U5Fi/c9l8KC661SWFTWiI0eLAFGYtwgpSUIwaEsgP9qC8qlLXgy91vOKmVPrZjJZaSmW213Bm8ZdZReFAZey9PK3dq6IQBcals7F7mvqOtv5++lQY7h1sY7B8h9S52PamzIbapW6FR9ytvfOu5rXjrU5QUJVm/5/vSycqd674+XutxM0U+Bc4QH5gfSdbxBm9THEpwDRGC+W4a8nc/SZMVOPZa1Oeep7XA7vjjYrN/eS2nEvE1HA/Y7xHiRalCoFQI7bzlMPQX4bQi/pu6nJdUkIZcfnJdMo4pm1V9VXV1e+Cdssazg9kjNBwMmZBUwldLhVay85Vnh83hjQJ6yc5QYzjx89zpeedOonaLsHt2x0E3tACg7THGJJrE+qnzFv3I6+x2H3Dcg1VUlROxwNyzNN678Y0bVp9z6WciA6RNswf3Qn0/HvJbTXRY6mIwbrPB75xyxrFRziByuck4U8wkeM3Z9g5wnvf0wKC8ACDOXR5HBBQGxjk9oYX4MwcwErP1y0VM4GaZM4XbCbGZK7zqyPPy/5QnLm4d/r9mbRhR8/klOzCsieeWKdPgn+CBPWPuXepB7hY9XqIllBikcrkCSP4EoTp1ieWIZpoJubyl+gWDlZTr/vPWV6bPij2PtHoGlTiOWm0oxYiAM4zGhvu57dV+R88oS6i6Xo/KzUNcNnnjBQlKtmOWwhBPPr2TIfTwVghXaYEVC7vf+VQq7r4xkUaknLTMOQt1HgoUmAOTxuESrnw4/ve6YJMzjh3zpvPUVy1Z9OUytoLs1UFn2cjnyuFXFdXNT1U9NkzoPdR3lcaFStgkZ0ycFlnc8QgvzYwhqbrEc4NShPuHTi7lf91FPnP4JpwcS6Mvi+Fqo3heWSgB4w2WBp6IzWOMNg5CNBNI8A8e+ztYrNL10utfe2u8ta4lLH0kQ6fAuc7q/ZUtAtKLFcmXO2/G49NbNU7xNz88j72958VcU1N4laS8m8jak8aC8vdalWE873J1ASUpHuNio86QDzgk1oJI3+coQ/w1k/rslvHutbjo/L8Q0Yp1kvvjzFwXjAMRxktHkGy9iWfbtbUFCSyX81fH8eavycGlVKV6WMl7Om5U5ehXjIMg8Vc0BfqU0BG/9ZL77R6GlcEIK9c8PfnrcOohxg+sTrPB58+9IKXPjB9XJm6fb13hSOQ0Pyke4aFgnSzo+oIX5MQSPRNAZiwGwOlxYKXhS4xyjAYuMRuQgAXegkNCJVXkw4X9APRC9k7F/YrB/F/F2XBiqw7KkwBBz8E4AQdadaDmLzjveCVyM5z7L9ZC3FlRQl6+28r2Tlwnm4bMYX/7t0jmGtfvK9mIMkz1tmacdVeXIS8R+yxMAGAPSubdfEfIRxXje6qmfOEGS4P2rmthlmmwauHIlw+XlONYK0Zr0Hqvy9plpvEWRl0uzuh+T51+qfiimV1txaqvPTWc448/FWNYm9RVvue7KjUAXpVZEZNr8Filjfh7Y+dnKsagoiQqz/U6us1oJl/slCSHqMJFv/t9y3gChL4snaTN96fzxg8ZvkBFBCA8d2K0+fwpoYX5MwbLSpfuema8Dux2tmLUFCt8gITuYRZHuDF7Ts5eotvC8nTxo0PnL9dJj5XEqP4Ry1oIQA0JMrp9fk5fT25NZujShBJdtvxvMooGCmik+ahO0ZKieCPyC3o3fub1w8jwDTGH12zGtfytCB9CHJQAS6QhqARP+iUreU2aOQgMnTy9/OQgGgvscA9CXJQTfDT+CeKSaTG0hMcLxKO5okibkszjSmLcPqSx6eVnVu0wt0+pXqLzbOXZ8lZLGpPhWuenMHX/eMoOEsP3bnSNsxSZIifbndbLRhGm8GSyZSr4gyD8HcEEZZSCAVAp1EFTbXCqhLtdVVNxkxUpUK1xM4a1YHKpL0qtqA7UizT1t7u+Hbr/hWZkp6nl8QgvzYwiqaxCW/9yJwrVYrU49kzfhJOOQMMhMcCR8+XkH8qmGvURKkiBXKQsd5SUv53ktK3nglfEWJ32hEYP8WeDUVkSwYiPGAwp5FDXGISXtPZHAHH4IAKHCaIHfmnDp8NJi569aBfHWwYsegoCs4k2+yV/MP1U+KiGRIZlk9sRLmK5YquWwJmWuKF/M07IYXavX9sNgAEZxcaXAn95VSPzL+LO5t13kyVKkgUNua68gE+uk2idm9g/ntShE1Ra9XJ4rSMhJb7+XMnbqaPHWEqpyaBCfgRHJ7Qh5SyU1xH5it6fVtmKbuHURlUS7fYeyVgxgMSee+m55WTkRhZ7cV1UKklcQukomAchlcUV95HJViqeKD6Jo948jb79Sf+eBASjyrHBFmNz/wBgi40b70h7v0ML8GIGIwBKuM4sIJnVbIB3WkpKR/Meh/qiAldZNyRnBXikStVTvBMRACMHEGUajFDckWHh+jdf6zYUJ036f5bGkbRo4E5egoZwIGBSThs/yAgazGIp5Gwp5VMjLxUgexRXGAUxmrdL7Xiwu8cLlB0GcFNKYLAhKuZyPytKYazRiCm/BUqMOJU58tUD1KhZhTx37sDiGJ53dAEour1px7Amyijf7L7mQpnS17d6fxXBWqAF5LI6zjIZkMsISo14Zf35SMRInPNu6F8uyUciivvq6E79LV5DFZwQIO7USZNFhsIRQhkynNw8GwimSL4Db7qdIiojcdiXJZXGVkimmGeVsmXjp9saU42QhoQiR6Q9JQjZo5cB9Z/0VnWXJcUhVrSqIz6JSoLZorSdRKXJp9vtN9GCiASIrIyoaVPSo1EqvhW3TavjmGuASYz9meIwAcd4BCGnTJoH3zE5BzfEJLcyPERhjYD2yrN9g6OEMMLlj+fes4Dyn0j6lf9wf7kUWTAzmUUmTPt1okCYJcSKTLSp5oPdjMczgzZhnHLIGIFk2jDzRei1jtaUMWILb5scU3oIy3pLcb7RovCx0AJWGwkJlspWXz2JYaFhOXSprvIC5y7u5jtC3yp3GWrDAqPdMWjIyYKKct6IHU7eZvOogTzKTmbzvW85bYQjPjLl8O4s34myjAWOSPJjL65HD4hiQ3F4Isvjtt0N5FANYHItCDShw9h4hlEfIFFZ+hvN2hbCw+BBiCWmViAFIZ4SpvCXp4BW8dRSE7ICjlHb+bv9JKqJkbT+oBK1It/s/w2jehqKk0LXTFLG2pACwUObZix/K23GyIOy9AoyBUMmbkZ0UWgxAJW/CBcZBKZ/RzO9nwECBxw7VvPBb+LKiLPdBJsWx8w7uy14aZDr8yoaa53I89wSud07xLuWry3fL8c8dhSzqoy/Nd4WtZViE4fLKXmWxVlwIIcQRyslCd4QW5scQoRFDk79UHTp4LxdCPNdCUliARAgNG4zMObOUafNZTHrBAEzgrU4eg4TwscLSlHco+ydQy5IdztrB7EmWVBOHbEUFQbSi+rM4ynmr9M3yEDOR7dl28K5IEIAy3ooMRijhbVhmHMQVxn70FI419UMcy0L7sTh0ADmI+/LLQkKaTOSJhZDumXhUS+DuUTQ5bjojXBY6AGmiYkL+kbDzPo0R+rN4UlkxUcTbcZFxALmIQQWRtwQkTxXI77kjSKwWFc9FA4RxvA32ErPod8BgWitAgqgkAJN5M6YaTYpvgDNh1UKEFWcSb0EPFod3Egcsv5HTeYNUL7vdGQv+Ul6QApHBZEt4FG+H6POUJdSzjLdgIKIKASErp2HPEcMS3oqeTBY+Y3kb/EJVVnRTj32/gmSn4YJCoDIA4Mk/uAyXOn84c2hwY8mh9tzkOqnJVr5XoVcLbWCu0aQMsxQDa5sjBMLpwqriZN6CPBbHGUajT/gT7GX14E+mRle9hOgbb/nCjndoYX4MkXbSjEAtVF7mstDbI7AmJidFd+Akkpqm9TetMB9phf0Rf/5liEuJ9tLk+cZBT4cmad8XgHLAMgAG808oNjI8QpoxBpYu3tsfbD2qpg7uK0sukQEYhvZkvRNgSStADAcA8W6eLGaCMWCYsCQ63WhGT2Yiz7GshAlL4WTl1pFwrlGPsCN8rbBS3opzhCOBE3kzpjgC3j2TbFsJ4v619AU3BmQunA8wZvGSuaXw5CUi6slJtNRcPoxm7SDy9zVDmGS9vJ7FmnB+qA7fDO33hVmXzsiTO4fbAN4+PstowmSFB/pcowHTeIvHsnPpPMloQiGPYYVxAKfyRgxjbagyDgEBXsfTjWZkMvlSJBH9EZP7OVHSV8LCWNaGMawNc3kjpvNDvjPX4sqN/ey1SG2FTOTNQMdB023//sIRv2DlVvZXUVmjAOB1SOwLd2WLAegrbDUt8awaiGXZ8WVRaP3tl1S4/HW2/o7kbShN+s7YQp05VrBbT3+ZYl0JI1jQNpJX2XHTDmNRnG/Uox+LOwqOVwE/zd5eCkD0pTWgbvZJby3MjyGMXj1hjB4eqBn3ZzH0QAIjkwJnBm/CWNaGc4x6AEA/Fnd+eydtBgJ98hli/3wVIHFvO2C5Oyn9BrIYyngL5hrycmJvYfmdAEzxLAvbg2QOb0w6UrkDPDQgD0Z7qxRbVWfv5GiXzeFaagwExpLOSZyDiMApjjBLCEIpgRBiPutDNHSld0mEBb5ExPJA0n0ATPjfRn5y4pDrIzozEqp4EyJMbetwZvk4TOCt6M+iGMzanYmbcY7w2FHIWrYIxpABAu0d79+OZ21YKkzYotAGEVivnjCKRylSyqsuBrc812W5aeUzjEeT8cxk/kkBqhR+FqYptkWscMsnJN8ROP7aZTLCMB7FaUYDMpncX2zMNRoxibdiuXEQYYXiyRihkMVwqsfSH4IoilkrKnkTDGZ5g4/kbeAM4B6rvB+Luf1DzEMSsgBjhN6wfCDGCz4cop9Ijec8v7fmDEAei2OYdK5fFmiDedRzdp3AKSH4f1jjbg5vRDFrxWKjTipjNGsL0osEKqwy5wpWb18Ww2m8Ab2EOWKecQgzjWZptSjIEpZBSE8q5Ha4cl5gAOOGlONM3oQS1op+iCf7rum0jbfsISyKPiyOEVz2b3AQjSH+0TZ12HGKw76bXaPrYO7dD+zYjiAr9WR+CD1hOgMsgxFqDHnQF7A4zjbq8BmFsd4M3uux9lzle9KdMOeXNbFUGNZlNqLGHQKhlLfgXTNTGByyYGIQvaAthGdVwHzn307+9l+DERKUauZwtX7Rg5clVx2MoYMQPmMu2n/5O5/RbE8AIRaH/ZkPC1adiHPAJKEUPy8m8xa8Y2Y67wzIE08Bi2I3hZ23Ig+JcXBKrqKQRbdNv6o8kYtVQvvaqxq8Ty8AQGjYYGQPWwyzqQXU3g4QofXnv3Xij+eteC+RCbFmVYZfSFh5W7EyTq1BqGgkYm+9h/bX1gHJzzezzExEJo1F7K1/A9EYiFzh3IslUE9GQD9K9humrqcLcvqjbFUCYAynGQ34iNLxWiJbYRnKPCcpzMJI2zHSQyTv1RNmvaWock4YSjHAFHJm1gqAWI4Ba6XHu8KQgzj2JadQsfTBLIaFRh16IeE0LueE+fxQUilkQk2sCNkpPlFqY7FxEDspnOSYf84402jA26Z9pCpoW4uQzUynjlFisNtiDq/D1kQ/JJI2nqiQMQC9WQx1ZIDA0ZOJK0LAcKMd6+P++WcWb0IGEYpYG1YlekIlvhmA8awVm8jaqKrkh/CS2dMKE8p345vgZIJlpgFNrlFhrVS6vYJ7JgaG5HBkgMGAJUYdGANeSmTjA8qQ/IUAgJr9q0fHM7QwP4aI/uMFsFgchrMM5dEfWSqrywZhAIvhUCcWWWwN128bEjKT52AJDIwSMIQ7oK1BTdYAEgSyf4L2KAbZWQj374f2V1ucsl3HJTm2jbONenxkpmMTpUvauQ0DyeXojz8BvV8LHnCDnmspuUe0DGYixBIAJRBaeCrMvQeB1z9KbunJtKQzwqJQHZ5I9EIFb/ZJo9m8EX9K5EIWxVaEyOTxoLfekazyVFgcOujJxwYBZIL3yQGZJljy64Q8OxPIzgSZBNazB6ixEYwBuSyBr2MfdiGCZxI5SaXLhOn0DXFZP2lptrWDMYbIlAkIl5Ug8uwmgAgZxQOQMSIXkSkT0L76TcQ3bJIEuhcVRjPWJrIsn4uAOM5rso/OWR/9NJ3eYdcZyGRAKWvFxxTBZ2YEhuJEA4T4HbDYqm9GBNTaKtVB/G23APneiELFDR3D2zCJtcAEw1/jvcUaYqC4kuVkI4+dbCQwlLXDABBhot9LMAYihkm8Gb2RwA7h63kALL8UaYzanuau0uBFhBGWG/sRggmD2YqrNaZM2ILezg1SS4nvvP3cFvTpDKhkliNkXx5HoymLnJ5IYCiPOts+vhUU51IY9xSNARMhJICmZie2225u3/Z+8sJa1ROek79n8Sb0Z3EUek4h8JwePn4dz9DC/BjBrG+Eue1jAPJgkIcPvHLC+jiL6Tk/q5KqPhDmGfV4LpEDcbicwRvwNmXipKSXru1VK9JlI4clpIFtx/eLXOtNeNQwUKu4rAhkswSaiWMAYvgEEXgnmAEshgFGDB/E5YnKB8YQX/+ukh8dgjGY695F+mXLkDFgFMIbdoBiCYQHDkPs1TedQZ7P4viGsd/ZKxUp7cXcvb8S1gLJ6Wj/foAzMJOkPUIAEGeYi0P7EQNDTyY6TVmNaSABA9aFLOaHW9B+178RqpmFUFmpWw3OEJ42GdH/e8U66sgs57hCascsfgh5LA7GAE4mzjTqsCqRg5rk3dzeic1iCwOLRGwWAQCMvn2Qec6pMM84BW1PP4/Eex8kK8mkukxhLRgRahf8Ovz7n3Y35SzheI1b/S2pbMH+TjXB1hxO5Y34lIUxhEWddjCJYAwrBHbsAJGV3jsRu5oHgWWkgbe0WYoLCZN9sjQOE2DcUZZYcvsGRGAZ6WDtzU51+vOY7c+FIYhKfSNoCHqHsA3OgAWhBse/w54DUvmYM0aYwayl9MEUxdZEulCOtwRZ6HpPlNjCr6cwrmW6Ce4FREx6bwhL4ZFk/x3N27A3EULvpM+Jm8qKJ1/nbIVcaBwEY8CriUwpfzsGJxPzeB1eMXsg5qwYiEqpoHCBAJb8eBVTf82Pw14ZccsIM8u5UkJGOoyRwxVcOX6hhfkxAtU3SM99Wdz5pKnb1QjISEdo5FCES8eDGg/BPNgAlp4GY+RQxNb9G7G33wNM2Yt5FG/DeOn8sSVURvM21JOBN01X4yzkURQiapemGOxwaBrH2nCIGxjEYthPISHMSl2d/PqWvc/L0iNgmeJNSoRzjYP40EzHONaC3ybyIU8U4iShtiScC2iIpCU2wPI2b4aB4bxdaR06FBPB3LMHiXc2IP7Ke6CDUYAbMPr2gzmoP8zPdjnpRaenIKvUdtADAN6vL2jvPmcZX14etPZZbYj7vfZ6CcvOgNHSBGZ6JvVDTYg//Q+gtQ2hymnO6/C0MiR2fIrER1utHJj1byIJShSznKUuY/t8dTCGuN9rpoQJOnQIME1Qm7xkyiMRZJ57OsyaGQg9/Q54czuorh5IsOTkCfQRHDTt2qs8p42AJWXbWcmpNxEizL1wxaElHELmsvPQes+vgbp6ANYZ5nOMA3g80cfpx5ysfXfWmlx+Faw/A+7xMYsnJgwzCiNMYMOHgOX2QWjUMBjDh6L1d38CfbYLgLXV9fXQPoTJ9CtDsPaPJQGT2xuRGVOA9nbEP9kJROMwt3+ctERlhWdeqAFPJXphJm/CPxM5Pv44+nzybw9mYiBrx05ynUtlkvxPvRAXxrhsr9s6ml0Qg7W95n7uVW7HU40GvGO6hsAE1oo+RlzwH7EVOGurayprxh4WxjjehgIWQ4QSCLE4EtIhTCSd6+y6mhjDLUfEXyTyhdLdX7bTL4EBnBBZMA+JNf8CHaxz4qUxE4Usiozk9oDs5utH2mmzwUJGYPjxCC3MjxFYRrr0XMMbkW1moYi34dFEn6RWSsiYU4XQ5AnKPIwzZsPICCO6+g3p/VzFpQjWX3viUgtKcXUAnhghWIJtRtJxqZ8Zw7vIQEtyIJ7G6zGcC5OuacIYPQJ88EAgLQK0W2E5zEwuWzOwhLhnypIDU57gbCrKeTPqYaC/ePwqZABR9/lC4yAaYCCPxaUqTjOasJ9CGCycI+dmAvEnn4Fp9gQSGUDChPn2O+DMAAryYO7ZL5CRtJTJ8sglcMkb3EF6GtLOW4D23z/svCpADP1YDDnJY21DWBSnGvWC4BPq3r8fQnl9YG7c5M87ifhLr8AoLQHLTt5RYBhIX3I2Yv9aj9iLSQsdasVDescYjJHDwfv0AhHBXPsW4qtfh1lv5Rvf8C/EJgxBaP5ssGz3Ag2e2xuh0cMRao6CWtuADw8ALa3wrmkyxgBpyddhJhytw4PM5DE3kwgkbhvZeSfTpC9eaK1K1MxE7PFnnGgRYQXAFtZI0d9FkgDLqONmHNi2FZE51eD5eVa+08vR/uhTTnZpzL+qcUHoABrJQAGPuazIzkTmlZc4d3xHZlqv4x9sRtujTwNmwllRYQQMQAyXG/vAGbA60cOnVqtqUMJa8TlFJG94X8UALDUOIArm3PJHYEDPbGul4lCjU59S1oJ3yH+VqT03iBjJ2wUHMgbOgCGCskrJhIwsBS2LmbggdNCpDYelbIU9Y6EPS2CRcRCZEFYMUjQfIPjwJEwYvXqC+ucjIQjzubxRuGDKMgp4STHMvQdg7t7r1rNXDtLm1iA0Vt8Ad8QQjUZx9dVXo6ysDGVlZbjqqqsQ7eDoABHhlltuweTJk1FRUYGlS5eioaHBF2/z5s2YMWMGampqjhD1frB+fcFy+zjPmYxQZTQhVzzfbDAYY/yexjbMzVthrn7N52UrQ7Gc6gkHyHnJ+uZKE+10fghDWDtGoU3SzdMZ4WLjAC4y9uM0Xu/xsgVYfh74sEKwcBiRU6qE4sj5K1/CQlhiuALUO3anGs2YZ7iTDjiDMXY0YLjac4SRJcg9mMJbMF9Iy5ITjEQPAJgEZibA6w8g7axTwYcOBsvOQijEpKs0ufTRGgCGgVDFJGR+czmMfn1hjBhqLf9bZOI8Xod5yXOwADCCtSc9f21emAjPKEf68sUwN77vWPVKECGxQRb2zOCIVFYg49uXwhgQ8A1mr0Na31ykLTwVAJB48RXEn/0/oElwliOCuekDRO//A6hF7QjEMtKRcdlyhKaUAuGQwwtjUgnSr1gOIzvF/dYe4V/Om5PXjlo842kh8P79pHg8Pw8ZX78QoVHDAAChiePADNcRLytwHKglgfetSFH8X2ud38bYIoTKJvrSien7MGvvF0j2L84QqZis/FhHqHgUMq/+BsKzpoP1yHYzY56VILjKtW2BhmZOlfIaydrxNeMAzuJ1CluTOSc0erGEZPEyENJqZiD96xdKKcoEb3ibdHs1qZi3IdhBwbtBbX27MFRW6jjfAnAdCcl7BFZOn8/i6MkSgVsXgHUnAQBUea4PNj/4ELRpUwpaARgckZNnIfOK5cj45gqkX3AOMr6+FJlXfaNbCnKgG1nm1157Ld5//32sXWsNsvnz5+O6667Dz372s8A0d911F/7yl79g7dq1yMzMxCWXXIJly5bhySefdOI8+OCDuPfee2EYR3dJhTGG8JxqRB95PDBOqGIKWGZGYHj89TcBxsCJZEcwwZLh/fLA9u5xgjKEm+bspSkCA8/tg7QlZ8PctRuxx5524k/hLShDiyNyRU2ZAciBiRyvVZCejrSl5zkTWbhiMgAg+sIroPY2J4+hwnWlWZAnG6Ey6sozjvDMaTCGFSL6+LPWzCMKiEBNnlJ8dhbWknF7FBwJZK5YgsRb7yL+1LNy0bCsCdtJMDKzHOlzJjvhoWlTrL1lO75nghbLAoDQ9HKkzT0JZl29tP+fy+LY7Ks3AykUUgDgffsg47JlSHy+G+buvWCGAT50MBLbP0H87Q2ghkZLOZlUgtCEcWCRMOjAQSTWvK7mhUlAQyMSr76B0NyT1WXm9EDa6XMQmX8KEI0CkQiYwZHYvCWpHIjL9e5eJ3muJZwqHlVjDKFJExA5dTbM/QdBzc1gPXo4Xv1uNAaWlwtKWlZZzMTpvB4R5i6Be3tPHxaXjlCp623CrP0QwOlOOZEz5sIYOhixN96C+fkugBtAdjagagvGwPr0RmjqlMAieE4PpJ1SCaqaivY/PQrz40+kvnFh6AB2UgTvmpmot7ffGJA2swLR1lYk3nnP2d7IhbtHLdb3nOSxvCRREn28cDCMiePBQgZY/3xg9x5vLJyfPNK4yKhDNKkYfMYjKHCsb4WPj12//vkInzwLxoihiKWnIf7am8lFBnclSkzV115NS7EK0Y/FsJfCzg16M1gTSo0WZIlXLzPAXLveUX5sOmXlO4S0r50L3svayjDy84DkKkx3RrcQ5gcOHMCvfvUrPPnkk47Qveaaa7Bw4ULcdNNN6NOnjy9NIpHAf/3Xf2HlypXITO7bXnvttRg3bhw2btyI8ePHAwByc3Pxyiuv4LLLLsOOHTuOWp0AIFQ8GjjndESfed6aCBkDp+T1mpEweDwKOngQTFE/AKCPP3UEgnsTnLtPyYjAcrJB+/Y68cayVuziYevCCVtj5gzG0EHgeblgvXMQe+EV4NAhz74vCb4rtokL/2yZkY70K1aA95Q9QcMVkxGaVIL2+34HOuCee57Km/CmmY0aj3Y9irVhM6W753LFpdZwGGnnnwXery94v75g2VmIvfI6zE92WnHSIjDGFiGxbQfQeMgydyiZRygEFneVD0OlLHAO87PPYUyaiMRb76jrabMCDOaWbYAgzI1BAxBZMA/RZ56z6FVY2gwAMjMRnjUNoenWpM/S5a2XSawZCQ4ME4/7EaVU8ADAGFAgWei8dDzCpeOVcRPvbPArQiKIkHjrXRhzTkr5SUhmcCC5dWR+8CHif34M4pSczkzEyVqVsPMNKg+GgdD0cov2vn2Avur+DwChslLE/v5/zvMw7r8XPp/F8BlFEGKErxkHk/cUCHkwQpyYfCNi3HujIEOoZCxCJWNdUk1C/PW1iL32JmA7enIOY3wxIvNPAUvvwIkTAAuHkbZsMWKvrUXipVec971ZAr1ZK941BcewvL5gWZmIzK5G245PQHUNEh+lXRTAWemQkBZBqHwSwjWVzp5wuHgUYrt2W3UScslMCkPO4NxueKZR7xsKxoihiMw7GSw7G2bjIbD0NEdQAkBkTg1C48Ygtv5d0N79oEgIfNAA0JrXnbExlrUiypnzURhnqUIo7Tx+EG1g1keHwJK3MgqCnDPw3jlAXR3sr715vfgZCLx/HowRw/y86eboFsJ89erViMViKC8vd96Vl5cjFoth9erVWLhwoS/Nhg0bsG/fPilNcXExsrKy8MILLzjC/LTTTjvi9KdCaOJ4GMVFiL/8CvCvNxG3HYaiUdD6txB/ex2Mc84CLxnnTywM5OGsHT2RQH8WkxyMGAA2eiTMj7ZYe7/MuvBBgmmCjy2y4odCSFv+NbT/4X+BhkZnomdJz6rw2acD2dmI/d9LoD374G44MvAxoxCZfwp4Tk9lXVk4jPCC+Yg9YO0pE6zl1Ym81fn4g43ZvAHj0YICxMDInWRCldMQnjlV8jkwRg6HMXI4qLkFFIuBZWeDhQxQPIFE7UdIbNlu1XFAAYyikYj97F4nbRlvxqeUhiLvFaPJZXJqaHSqmKaU6AQ0+y9ACU0pBR8yCPF17yDx8afWJD9qOIzi0Zb/QMgAH1AAJqwIsYx08FEjLOWACCGmuFyFSN0XviCovl75vod422Bbm+WbkBZRxpXyiycQf+rvkJw4wZABE18z9gvn9T28FM69GSMKJWGQCkZpCeJv/Ru0Z2+ggjCHN+JtZGI8b5UsdnuKv9TYhxhY0iERlmVd0K/DshlnCFdORWjaFJi7dgOJBHhS4B4OmGEgUjUd0f37fVsobiSGyOJzrJ9ZmUj/xjLEVv8L8bf/7fijIBwGBL3Prh+BgQ8sQPiMeRZ9YXnap81bHF8Qv4uD2y7efMEYkJ2FtMXngCWvGzYCFE0+oABpZ86X3kXr6mFu/MAam8z9PgEJ/zPDABJWX+TMvV3S5wfBGFhODlhmBuigfEkSQAgnP1IFANjr7pGfSOgWwnzbtm0IhULo27ev8y4vLw+GYWDbNvUtPfb7ggLXQmGMIT8/PzBNZ9He3o72dnfUNDY2pojdCTQ3A2+u809GRIBpIvHYE2D5/cD6yUtBrHAwaMcnsLx+rfOiXicnPrQQvHAQopu3qK1LxsD6F4APG+q84rm9kX7VZUh88BHMD7eAEgnw/vkITZrg7PGFrrgYZJowd+0BYjHw3D7u/l8KGMMKEe9fANq9B4ysCd8W5OKCYIgBgwRnN8YANqAAkdnVgXmzrEzZOgkZCI0vRmh8sRwvWT6IkMEIXwsdkDMyTfBRI5J5ZoGaLIGaxUzM4Q0ISX4IDPBY1DZ4v76InD4nBTf8CJ1Uhei2HdZyu0I48bJS8D69DyvPlMjIkCzzs4w6fE5h+TORhuHuiXcA+mizY6V6rSL7HDOSb79h7MFaMxsTkle4OqtMQl/sCCwSRtqKryH67POSv4Fo22WxBGY5d3z7VxcijJwb/6zEhFBF8BK5j4aQAWPwwE7HD0L47DPAcnog/q/1QNz2qSCwSBh88EDnw0wAwDIzEJl/MsJzakDNzTCf+Tvow81g8J6NJoRGDUd48dlg4TBUoOaW5OKViZDAhnAKwQkiS5AvW+II8sNFqHomorUfATGCaoWBTy6FMXoEYn/5m/XWtE++2xGSx1KzsxAqK0Vo2hTE/vqEVMZk3oyDCGGguBXIu5eXemfRLYR5S0sLIhG/VRCJRNAS4Jxjv09Lk5e60tLSAtN0Fj/5yU+wcuXKL5WHCHP926nPSjMG8811MBbIqwjGjKmIb/9YjCakARAKwZhUApaZifD55yD22FNALOZYnTBNsIH9EfnaeWCei6dZKGQtKQrLij6yOIcxsH9nq+kgfP5CRH/7J6C52Tn3K2fs3f9mQCiE8JmnHnZZKhiV0xF/NMBXgTOgVy/w5BlTPmkCEqtecILHKD45yrtwyY4PKEDkoiWIPv60tTLiBHAYFWUIzVHvXX9RGBPGwVzrflRiCItiiDTxMfCSsc4ZbABqT3477OBBT/vZHspx5wmwumcGI1R7v0nPGIzJpYdVB5aRjrRzF4DmnQzz892WX0HjIcSfftYpiyTBBLDevaxjbYotBl4yDnx8cL8/UmCMIXxKDUI1s2C+sRa0Zg14UwI82gZs3Qrz9jfAqmaBzap0tjyYwUEffgh8tBmMWRcj2WfojeQxNLZ9i7WyEiDMWe9eoPp6MCKkcRPns/0wAaQn24wxBgzsDzZ6NMzPd1u+GKOGwxhX7LPyDwe8by4ilyxF7G/PWMc5bRgGjKlTEJpdA2ZwsG8sR/y1N2HWfgTEE+B5uTAqpsAoK7XucxAmPqNoJOLbtjvPM703IHIOnsKpuDvjmArzm2++uUOhuG7dOmRmZio916PRqLMf7oX9XrSg7eegNJ3FD3/4Q3zve99znhsbGzF48OAvnJ+5eUvwHiJgOeRs2QqvPmmMHgk6aRYSL6+RL09hDDAMhC9Y5JzzNsaMBr/2SiTee99akgyHYRSNAhsyKOVe6JEA79Mbad+6FIm1byH+zgagtQ0spyeMKZPA+ucjsfp1a6kZABjAi0YidEo1eL+ucVIxxhWD9h9A4uXVlvA2yZ3Ue/RAZOkSR3gZkycisfYtoL5esfdtLTPyoUO6hC4bfOgQpF39LZjbd4D2HwAiERijRx728m1nwAYNBBs1ApRc2pcDGWCEYMyaIb0mIkspVDmNpqc7+TAAi0P78b6ZqbxFTwWjagZYJ5bzlXXJzoIxeoTwAoivegGIRi1l1Uzux1fNgFE1E+bW7Yi/9gYoqRCzvL4wppXDmDTRp9weVezYATz/fNJCFSzteBz00ssAAFblfgnRfGMtvGCAe52paYLe/TfYzOnK4oyySZIA7O/dayeCMbUcRhdu79jg/QsQ+daloJ2fw9x3ACwcAh8xXNpG4wP6I3LewiQplHK+4hNLgH++am0NKedUgjG1ootrcXzgmArza6+9FldccUXKOH379sWnn36KeDyO/fv3O0vt+/btQyKRwPDh6lt67Pe7d+/GoEHWxRhEhD179gSm6SzS0tJ8Fv+XgiAkDFget1Fi6CnuWwYI+1DNLPDhQ5FY+xbMT3daWnNxEYzyyWCefUeWlobQlEldR/eXAMvKROikWQid5P88q3HRYlBTM6ilBSw7y3PxTNcgVF0JXlwEc/07MPfsBSJhGGPHgI8fKy1HsrQ0RC65CLG/PQXatkPOJLcPjDGjpH3vrgLjzHLSOcKOOowxhM8/B/Gnn4Vp79faik1OT4TPOxu8by4AgJqbQWvWgL3xCShmrZmbje+BzaoCK7Au9OBjipB4dpXTpwtYHAWijwYDKCsLaI9ZCoENzmFUV8KontlldQtNnghj/FiYtR9Zvg9ZmTCKR4NlWPu6jq9FwrSOSoWOj4VK8/kXU4bTK6tB5eVgGemgeBw44G4ThQK0Jdq1KzA/VlwENmI4aNt2pULHCoeAjx3T+QocJhhjYIMGgg/qeKuiI8ODpacjvOxriD34v9b9B3ZfZgzgHKFzzwLvn58yj+6KY9p7s7OzkZ3d8T5rVVUVwuEw1q9fj/nzLSeK9evXIxwOo6qqSplmwoQJyMvLw/r16zFlirX/VVtbi+bmZsyePbvrKtEF4MMKYR7Yb51zZsAF3Dpv7RgHnIEVFganHzIYfMgXXxk4HsGys5yLUY4UeL888NPmdkxLj2xEll8Ac/8B6wQBY+DDCmGsPzEcaVgkjPC5Z4FOqYH50RZQPA6e3w9s2FDHQqVDh0C/+S3Q2AiK5wEIWVb2B7WgDz8CLroIrHAIWHYW+NQKmP96M7C88BnzwUaPslZf6huArEzwUSO/sEXeUd2MCaktSmZYNwgcD6D9+4Hdu1NHSiRAtbVgk0oBxqWtgnGsBdt4uv962xQKJ+Mcoa+dh8SL/7S2/GwlKxwGL5sE45SaI6KwHinw/gWIXP1tmO9tgrl1G8g0wQcOgDF5onQB0omG40MV7QC5ubm44oorcOedd2LOnDlgjOHuu+/GFVdc4RxL27dvHyZPnoxf/epXOP3002EYBn7wgx/gl7/8JZYtW4bMzEzccccdWLBggePJfryAl5fBXLfeffYqnyaBpzizqnF0wPvmAn1zre2M7duBzZstT9vmHGDgFCDryCofRxqsVw6MijJlGD33f0Bjo99ySzrq0WOPAd+92vKjmHMyQATzzXXJjC3nJYTDME6bB15sWXlG0Ym5d/ml4PlS1wjWhrcpGz2ZsErHmHOCghkcGD4MSFrVYWadL5dABDY6Na9ZKITQvNmgmirLORQEVpAP1pUrkEcRLC0CY8okGMfJSuTRQLcQ5gBw++2347rrrkNFhbXfMWPGDNx+++1OuGmaaG1tRUxYurvmmmvQ1NSEmTNnIhwOY9SoUfjjH/8o5fvUU0/hzjvvRG1tLdra2lBTU4OLLroIl1566dGpGADWLw/GmWcg8eQz8t538jefP7dTS1AaRwFNTcDDDwOffw7Ek22ybyvw3mrgzDOBiROPLX1HANTcArz/fuqz4Y2NwNatwKhRlqU3fw5oxjSY79eCWlvAevUCH1fsfMhFIwCeY53Tkx/MGczkuwaQ426h8cqZMLcGnNBhDMjJARtT1KniWVoErPDEWuX7qoBRKtdUjU6hsbEROTk5aGhoQM+e6jPWnQF9vguJN9aBtm4FCGDDCsGnVYAPHtRxYo0jDyLg/vuBXbsAItwVGwAAmMybUG3vCy9bBnxJn4zjDfTJp6Df/c55fiyRi09Ny2L7bvhz6yVjYLNPAZvZdXveX1UkHvgj8PHHwcpTWhr4td+TfDvMt96B+czfrQd7jzgp9I3lSwMvntLoWnSVLPgi6DaW+VcBbEB/hM4581iToRGE7dstizwIjAGvvnrCCXPvkaY5vB4vIweTmHyXe9DRJ43DA583B+Zvf29t4SgEOjt1vu/MOC+bBDZyOMy337GuZg2FwIpGg40tPm4c+zSOLHQra2h0FrW1qb+fTgRs2+bcUX7CID8f6NnTWkoH0JMlcJZ3XxYARnfPD1Qcb2D9+4NfcjHMf/wD+PQzN6B3b/DZp4CNU5+BZzk5ME6qOSo0ahx/0MJcQ6OziMnnb3NYAg1kYLT3Kth4/IQS5owzoLoa9PTTAREYUFIC1qvXUaXrRAYb0B/GpZdY9wzU1wEZmcCA/kf9TgiN7gMtzDU0Oov8fMkqv8jYi2Zw9BI9jbOyAq937daYPAmsuQn08j+tZ1uomCZQVAS24IxjRtqJDGafoNDQ6ABamGtodBYTJgDPP+98+CHMCL3gOTJUXu5el3sCgTEGVFVZ3vrvvguqqwcyMsBKSsAGHP6VvhoaGl0LLcw1NDqLzExg4ULgscfU98cPHAjMmBGY/EQAy8kBqquDPxevoaFxTKCFuYbG4aCkBOjRA1izxjpXDQDZ2ZZFPmOG9ujW0NA4JtDCXEPjcDF0qPUvFrOc3dLSTsildQ0Nje4DLcw1NL4owmFtiWtoaBwX0OaEhoaGhoZGN4cW5hoaGhoaGt0cWphraGhoaGh0c+g98y6A/a2axuR1lxoaGhoaXz3YMuBYfL9MC/MuwKFDhwAAgwfrTwdqaGhofNVx6NAh5AifqT0a0J9A7QKYponPP/8cPXr0+MJ3Jzc2NmLw4MH49NNPj/qn87oDNH9SQ/MnGJo3qaH5kxqHwx8iwqFDhzBgwADwo3xcVVvmXQDOOQYN6ppvjvfs2VMPqBTQ/EkNzZ9gaN6khuZPanSWP0fbIrehHeA0NDQ0NDS6ObQw19DQ0NDQ6ObQwvw4QVpaGm666SakpaUda1KOS2j+pIbmTzA0b1JD8yc1ugt/tAOchoaGhoZGN4e2zDU0NDQ0NLo5tDDX0NDQ0NDo5tDCXENDQ0NDo5tDC/PjBI8//jimTJmCWbNmobq6Gps2bTrWJHUpbr75ZpSWlqKmpsb5d9ZZZ0lx/ud//geTJ0/GzJkzcfrpp2Pnzp1SOBHhlltuweTJk1FRUYGlS5eioaFBihONRnH11VejrKwMZWVluOqqqxCNRo94/b4IotEofvjDHyIUCmHHjh2+8KPFj4aGBlx00UWoqKjA5MmTsXLlymNyHaUXqfizYsUKTJs2TepPl19+uRTnRObPX/7yF8ydOxennHIKysvLce6552Lbtm1SnK9y/+mIPydk/yGNY44333yTsrOzqba2loiI/vCHP9DAgQOpsbHxGFPWdbjpppvo5ZdfDgx/7LHHKD8/n/bs2UNERCtXrqTS0lJKJBJOnDvuuIPGjRtHzc3NRER08cUX05lnninlc+WVV9Ipp5xC8Xic4vE4zZ49m6666qqur9CXxPbt22natGm0bNkyAkDbt2+Xwo8mPxYsWEArVqwgIqLm5mYaN24c3XnnnV1d5cNCR/xZvny5750XJzJ/wuEwPffcc0RElEgkaPny5TRq1ChqbW0lIt1/OuLPidh/tDA/DnDOOefQ+eef7zwnEgnKz8+nn//858eQqq5FR8J88uTJdP311zvP9fX1FAqF6OmnnyYiong8Tnl5eXTvvfc6cTZt2kQA6L333iMiov3791M4HKZnn33WifP3v/+dwuEwHThwoItr9OXw3nvv0ebNm+nll19WCqujxY8NGzYQAHr//fedOL/85S+pX79+0sR/tNERfzqajE90/ixatEh6XrduHQGg1157jYh0/+mIPydi/9HL7McBXnzxRZSXlzvPnHOUlZXhhRdeOIZUHT3U1dXh7bfflniQk5OD0aNHOzzYsGED9u3bJ8UpLi5GVlaWE2f16tWIxWJSnPLycsRiMaxevfoo1aZzGD9+PEaOHKkMO5r8eOGFF5CdnY3i4mIpzt69e7Fhw4auq/BhIhV/OoMTnT+PPvqo9Jyeng7AWvbV/Sc1fzqD7sgfLcyPMQ4cOICGhgYUFBRI7wsKCnx7YN0dv/vd71BTU4OZM2di+fLl2Lp1KwA49UzFA1Ucxhjy8/OlOKFQCH379nXi5OXlwTCMbsXLo8mPbdu2IT8/31eOWMbxip/85CeoqalBZWUlvv3tb2PPnj1O2FeNP//6178wYMAAzJw5U/cfBUT+2DjR+o8W5scYLS0tAOC7XSgtLc0JOxEwZMgQTJo0CS+88ALWrFmDYcOGoaysDDt37uwUDzobJxKJ+MqORCLdipdHkx8tLS3KPMQyjkeMHj0aVVVVeOmll/DSSy+hvb0d06ZNQ1NTE4CvFn/a29tx++2345577kE4HNb9xwMvf4ATs/9oYX6MkZmZCcDqcCLa29udsBMBl1xyCa655hqEQiFwzvEf//EfSE9Px7333tspHnQ2jmoZLRqNditeHk1+ZGZmKvMQyzge8aMf/QgXXnghOOeIRCK488478cknn+B///d/AXy1+HP55Zdj0aJFOPfccwHo/uOFlz/Aidl/tDA/xsjNzUVOTg52794tvd+9ezeGDx9+jKg68jAMA0OHDsXWrVudeqbigSoOEWHPnj1SnHg8jv379ztx9u3bh0Qi0a14eTT5MXz4cGl5UcyzO/GsZ8+eyMvLc7Zuvir8+cEPfoBQKITbbrvNeaf7jwsVf1Q4EfqPFubHAU4++WSsX7/eeSYivP3225g9e/YxpKprcfXVV/veff755xg8eDB69+6NSZMmSTxobGzERx995PBgwoQJyMvLk+LU1taiubnZiVNVVYVwOCzFWb9+PcLhMKqqqo5U1bocR5Mfp5xyCpqamlBbWyvF6devHyZMmHBE6/ll4O1P7e3tOHDgAAYPHgzgq8Gf//7v/8aOHTvw61//GowxvPXWW3jrrbd0/0kiiD/ACdp/utQ3XuML4c0336QePXrQhx9+SEREDz744Al3znzo0KH05JNPOs/3338/paWlOUc2HnvsMSooKKC9e/cSEdGtt96qPBc7fvx459znpZdeSgsWLJDKufLKK2nOnDkUj8cpkUjQ3Llz6corrzzS1fvCCDp6dTT5sWDBArrkkkuIiKilpYVKSkrojjvu6OqqfiEE8ScSidC6deuc5x//+MeUm5vrnKsmOrH5c99999G4cePo9ddfp3Xr1tG6devopptuot///vdEpPtPR/w5EfuPFubHCf72t79RWVkZVVZWUlVVFW3cuPFYk9SleOihh+ikk06impoamj59OlVXV9Pq1aulOPfddx9NmjSJpk+fTqeddhp9+umnUrhpms7lF+Xl5XTBBRdQXV2dFKetrY2uvPJKmjx5Mk2ePJm+853vUFtb25Gu3mGjvb2dqquraeLEiQSApk6d6jsbe7T4UVdXRxdeeCGVl5dTaWkp3XzzzWSa5hGpd2fREX/uueceqqyspJqaGqqoqKDTTjuNNmzYIOVxovKnsbGROOcEwPfPFlZEX93+0xn+nIj9R38CVUNDQ0NDo5tD75lraGhoaGh0c2hhrqGhoaGh0c2hhbmGhoaGhkY3hxbmGhoaGhoa3RxamGtoaGhoaHRzaGGuoaGhoaHRzaGFuYaGhoaGRjeHFuYaXwkMHToUNTU1qKmpwbRp08AYQ2lpqfOuV69e2LFjx7Ems0vx6quvOnU9knV7+OGHUVpaimnTpmHKlCnSXdVfFE888QSeeOKJL0/cl8TZZ5+Nu++++0vl8fWvfx0FBQVYsWJFl9CkoaFC6FgToKFxtPDPf/4TALBjxw4MGzYMd999N2pqagDA+XsiobKyEo888giGDRt2xMpob2/HJZdcglWrVqGmpga//e1vuyRfW5AvXLiwS/L7ohg6dKjve9SHi9/85jdakGsccWhhrvGVwHe/+92U4StWrECvXr2OCi0nEnbv3o329nYMHToUAHDppZceW4K6GHfdddexJkFDo1PQy+waXwl0Rpjv378fNTU1YIzhN7/5DRYtWoSSkhJHyD/66KOYMWMGTjrpJFRUVOB73/ue823ipqYm1NTUID09HT/96U9x0UUXoby8HNOnT8f27dudcrZt24b58+ejqqoKlZWVOP/88/Hhhx864WvXrsWsWbMwdepUVFRUYMmSJfjggw+c8FWrVqGiogJTp07FhAkT8Itf/EKqx4cffoiZM2eipKQEZ5xxBtauXeur665du7Bo0SJMmTIFlZWVWL58OQ4ePAgA+Otf/4rS0lIwxvD3v/8dCxYswIABA5QW8quvvorFixcDAJYsWYKamhrn844PPPAAJk2ahFmzZmHGjBl4/PHHnXR1dXW4+OKLUVFRgerqasyaNQuvvfaaE3799ddj1apVjrV/1lln4d133/VtGfzwhz+Ulq/FNrj99ttx0UUXoaKiAowx1NfXA7C+pFVaWorq6mpUV1djzZo1gX3i+uuvd7ZnAGDLli1O/7j//vtx3nnnYeLEiZg/f77DPxu33norCgsLUVNTg+uvvx6mafryD+LRK6+8grFjx4IxhjPPPBMAsGDBAmRnZ+PCCy8MpFfjK44uv+1dQ+M4x/bt2wkAvfzyy8pwADRv3jxqa2ujRCJBM2bMICKic8891/nyWzQapfnz59PKlSultIWFhVReXk6HDh0iIqKzzz6bli1b5oSfeuqp9B//8R9EZH3IYenSpc7HH/bu3Us5OTn00EMPERFRLBaj+fPn01133UVERJs2baJwOExr1qwhIqJPP/2U8vLynPiJRIKKi4vpO9/5DhERxeNxWrJkie+rY9OmTaPvf//7Dg3f+MY3aN68eU64/aWym266iYiItmzZQhdccEFKXor5P/vss5Sbm+t82OOjjz6izMxMev3114mI6L333qOKigqKRqNERLR69WrKzc2VPmKxfPlyWr58eYdlqeIVFhZSaWmpk9/cuXOpvr6e7r33XioqKnLer1mzhtLT02nHjh3KuhER3XTTTVRdXS29A0ALFiygWCxG8XicpkyZQjfeeKMT/vDDD1PPnj1p69atRET0xhtvUI8ePSQ6O+JRfX09DRgwgK6//noisr7g9Ytf/CKQTg0NLcw1vnLojDB/4IEHlOnET0j+6le/omnTpklxCgsL6dZbb3Wef/azn9GECROc5wkTJtAll1zi5PPxxx87E/qNN95IgwcPlr6otGbNGlq1ahURES1btoxmzpwplXf11VfT2LFjiYho1apVBIC2bdvmhL/wwguSAHzxxRcJAO3bt8+Js27dOgJAW7ZsISJXmKcSciJPvAJ21qxZ9O1vf1uKd/rpp9PSpUuJiKi1tZV27twphRcUFDj1JPrywvzmm2/20Tp48GC6/fbbpXfjxo2jH//4x4H1CxLmDz74oPN8zTXX0Jlnnuk8T5s2TVLgiIgqKyslOjviERHR448/ToZh0AMPPECzZ88+5l+y0zi+offMNTQUGDRokO9dc3MzLrzwQnz88ceIRCLOfrEX/fv3d3736NEDjY2NzvPKlStx0UUX4fnnn8eSJUtw2WWXYeTIkQCAjRs3YsSIEWCMOfErKyud3xs3bsSECROkskaOHIlf/vKXiMViqK2thWEYKCwsdMKHDBkixd+4cSM451i0aJHzLh6Po7CwELt27cKIESNS8qAz2LhxI3bu3Ck5Fe7fvx/p6ekAgEgkgkceecRxcuOco66uzlmi7wp4aT906BA+/fRT/P73v8czzzzjvI/H4zh06NBh55+qjWtrazF//nwpvqodUvEIsJz/Fi5ciBUrVmDjxo1Sv9DQ8EILcw0NBQzDkJ6bmppw8sknY/HixXjooYfAOccDDzyAm2++OWVaxhhI+MrwwoUL8dlnn+GRRx7Bb37zG9x9993461//ijPPPFOKp8KXDRfx4osv+uroRUfhQWCMYenSpVi5cqUy/I477sBtt92G9evXO4rM0KFDO6RfJcwSiYSSTu87O+9rr70WF198cafqkQqp2jiIVm94Kh7ZKC0txVNPPYVVq1Zh3LhxX5xgjRMe2gFOQ6MTqK2txd69e3HeeeeBc2vYRKPRw87nr3/9K3JycnD55Zdj3bp1WLhwIe6//34AQElJCbZu3SrFX79+PZ599lknfPPmzVL4li1bUFRUhHA4jLFjxyKRSODjjz92wj/55BMpfklJCUzT9OXzzW9+EwcOHDjs+qgwfvx4yakPAF5++WXcd999ACwHr7KyMkeQA35e2jwGgJaWFiQSCfTo0QOApVjZ2LlzZ6do6tmzJ4YMGeKj689//jMee+yxTuXRWRQXF/va0dsOHfEIADZv3ow33ngDv/71r3HjjTdi27ZtXUqnxokFLcw1NDqB4cOHIyMjAy+88AIAyyJ88sknDzuf73//+3j//fed50QigaKiIgDAd77zHTQ2NuKRRx4BYAm4//f//h/C4bCTdu3atXj11VcBAJ999hkefvhh3HDDDQCA2bNno7i4GHfeeaeTtygcAOCkk07CjBkz8J//+Z+Oh/Wjjz6K2tpa5ObmHnZ9VLjhhhvw1FNP4d///jcAa3viRz/6EcaMGQMAGDduHDZs2IB9+/YBAF5//XXs2rVLyiMvLw91dXUAgEWLFqG2thZ9+vTBkCFDHM/32tpavPvuu4dF1x/+8AdHsO7btw8rV67E+PHjv1R9vbjqqqvwxBNPOMJ33bp1vlMFHfGIiPDd734X99xzD1asWIEZM2bg8ssv71I6NU4wHLvteg2No49//OMfNHXqVAJAEydOpJ///OdO2K5du6i6utoJu+GGG6S0jz/+OI0ePZoqKipo4cKFdPHFF1NaWhqdfPLJRERUXV1NaWlpVFRURA899BA98sgjVFRUJMW5++67qby8nKqrq2nq1Kl08cUXO57vRERvvvkmVVZWUkVFBU2bNo3uu+8+iYZnn32WpkyZQhUVFTR+/Hi65557pPDa2lqaMWMGjRs3jubMmUP3338/AaCpU6c6XvC7d++mxYsXU3FxMdXU1NDixYtpz549Dn8mTpxIAKi6upoeffTRQF6uWbPG4eXUqVPpBz/4gRP24IMPUklJCU2fPp1mzpxJf/rTn5ywhoYGWrJkCRUWFtIZZ5xB3/3ud6mgoICKioroj3/8IxERffDBBzR+/HiqrKyUnMKeffZZKioqoqqqKrr22mtp6dKllJ+fT5deeqmvDex3Iu644w4qLi6myspKqq6upueeey6wftdddx0VFhZSTk4OnX766b7+8eKLL9Ldd9/txBE9/m+99VYaMmQIVVVV0eWXX05LliyR6EzFo82bN1NFRQXl5ubSvffeS9u2baOxY8c6fBYdHDU0bDCiw9ho09DQ0NDQ0DjuoJfZNTQ0NDQ0ujm0MNfQ0NDQ0Ojm0MJcQ0NDQ0Ojm0MLcw0NDQ0NjW4OLcw1NDQ0NDS6ObQw19DQ0NDQ6ObQwlxDQ0NDQ6ObQwtzDQ0NDQ2Nbg4tzDU0NDQ0NLo5tDDX0NDQ0NDo5tDCXENDQ0NDo5tDC3MNDQ0NDY1ujv8PJR3BW2NYkvEAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>7593</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.012</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>19815</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>11945</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.011</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9898ff'>7834</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.022</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>18293</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.011</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9e9eff'>16486</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.020</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>19144</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.010</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9f9fff'>5452</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.020</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>184</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.010</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>4217</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.018</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>12696</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.010</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a7a7ff'>3548</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.017</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>20274</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.010</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #aaaaff'>14717</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.016</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[9][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 274,\n   \"id\": \"97120791-c95a-47f0-ae10-9feeae0aa164\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc9c9'>Oracle</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.879</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;length</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.925</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcaca'>chip</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.765</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8b8bff'>&nbsp;lengths</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.600</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 19815, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"25f12755-3b7d-4a7b-9cf7-a7d2f78ae6b1\",\n   \"metadata\": {},\n   \"source\": [\n    \"Huh -- so final token is looking like \\\"length\\\". As such, this input seems to be \\\"... estimated length\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"58e72bee-5297-4ef5-8221-b287ad8219c8\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Earlier tokens\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 293,\n   \"id\": \"1679eb0a-8104-4918-a134-76917356ae46\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[479]@-1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[400]\\n\",\n    \"my_feature = make_sae_feature_vector(transcoders[8], feature_idx, use_encoder=True, token=-1)\\n\",\n    \"print(my_feature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 294,\n   \"id\": \"649ae243-86d6-4a50-ac58-a90060c72f97\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn6[11]@120: 1.1\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn8[5]@120: 1.1\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn8[7]@120: 1.0\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn7[0]@120: 0.96\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn7[9]@120: 0.9\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn4[0]@119: 0.75\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- attn3[8]@119: 0.75\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn7[0]@119: 0.62\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn6[0]@119: 0.55\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn4[1]@120: 0.54\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- attn3[2]@120: 0.45\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn8[4]@120: 0.45\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn2[3]@120: 0.39\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn2[0]@119: 0.36\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- attn8[8]@120: 0.35\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn1[0]@120: 0.32\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn5[2]@120: 0.31\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- attn2[5]@120: 0.31\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn8[7]@119: 0.27\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- attn6[0]@119: 0.55 <- mlp5tc[10350]@119: 0.2\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- attn7[9]@120: 0.9 <- mlp6tc[15690]@120: 0.2\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- attn6[11]@120: 1.1 <- mlp5tc[6568]@120: 0.18\\n\",\n      \"Path [22]: mlp8tc[479]@-1 <- attn3[8]@119: 0.75 <- mlp2tc[21870]@119: 0.18\\n\",\n      \"Path [23]: mlp8tc[479]@-1 <- attn7[0]@120: 0.96 <- mlp5tc[6568]@120: 0.16\\n\",\n      \"Path [24]: mlp8tc[479]@-1 <- attn5[2]@120: 0.31 <- attn2[2]@119: 0.14\\n\",\n      \"Path [25]: mlp8tc[479]@-1 <- attn8[5]@120: 1.1 <- mlp6tc[15690]@120: 0.14\\n\",\n      \"Path [26]: mlp8tc[479]@-1 <- attn7[9]@120: 0.9 <- mlp5tc[6568]@120: 0.14\\n\",\n      \"Path [27]: mlp8tc[479]@-1 <- attn8[5]@120: 1.1 <- mlp7tc[20162]@120: 0.13\\n\",\n      \"Path [28]: mlp8tc[479]@-1 <- attn5[2]@120: 0.31 <- attn3[6]@119: 0.12\\n\",\n      \"Path [29]: mlp8tc[479]@-1 <- attn6[11]@120: 1.1 <- attn3[9]@119: 0.1\\n\",\n      \"Path [30]: mlp8tc[479]@-1 <- attn8[7]@120: 1.0 <- mlp5tc[6568]@120: 0.098\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=20,\\n\",\n    \"                                 filter=FeatureFilter(token=121, token_filter_type=FilterType.LT))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 295,\n   \"id\": \"9fdc52c0-17c8-4b52-87bc-0ee6a3430a9a\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaaaa'>14695</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>23607</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>23067</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>4252</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>3969</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>11525</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>23749</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>7340</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>4385</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>9450</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb4b4'>2225</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9797ff'>14503</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb4b4'>21912</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9898ff'>8180</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[19][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 298,\n   \"id\": \"38f957d2-0e8a-46ee-9f70-f109ec583938\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffabab'>alogy</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.490</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>With</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.146</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffabab'>ozo</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.467</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a9a9ff'>&nbsp;With</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.629</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 23607, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 297,\n   \"id\": \"25a3a113-9272-4f44-a365-f4ae997a2de8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>&nbsp;commons</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.482</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;With</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.838</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc4c4'>iles</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.094</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9393ff'>With</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.566</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 4252, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 299,\n   \"id\": \"58b87499-611a-4e4e-89a2-0270d244fd94\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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g6OpqKi4tp+/btRETk9Xrp9ttvp8zMTCoqKqJZs2Zp28Cys7Ppyiuv1PKrrKykH/zgBzRw4EAaPXo0jRkzhp588kmSJImhCwD95je/ofvuu48mTJhA6enpVFpaSlu2bLGU4a233qIxY8bQoEGDaMyYMfS9732PidfZNtmyZQuVlpZSRkYGjR07ln7605/SfffdRwCouLiY/v3vf2txv/jiCzrjjDMoJyeHxo4dS7NmzaJvvvlGe//oo48y9fvnP/+ZysrKqLi4mKKjoyktLY2mTJmixV+xYgUVFRXRiBEjaMyYMbR69WrbtiMiqqqqoptuuomys7Np9OjRNGnSJG0LpBHPPfccFRUV0ZAhQyg7O5tuuukmqqqqOiY6J06cyPSDffv20TPPPMN8r26LI1K84c8++2waMGAAjR07lqZNm0bz58+30Pjll1/StGnTKC8vj0aPHk1XXHEFHTp0iIkzf/58ys/Pp9GjR9OUKVNo79699Pzzz9Pw4cO1/qb2VyKivXv30uWXX07Z2dlUUFBAY8aMYbaO1tXVUXFxMSUmJlJiYiIVFxeTx+OhX/7yl0yfef3116m2tpbuvfdeGj16NJWUlNDo0aNp6tSp9OmnnzI03njjjdS/f3+qrKwM23YOTgwEIoP91IGDboi8vDzMnDnzO3GZTVdCEAQ8+OCD2uFEDhw4cBAJHFO/AwcOHDhwcBrBYfwOHDhw4MDBaQSH8TvotlDPHjeezR4IBE41Wacc6ln9gOK8NXv27FNLkAMHDnoUnDV+Bw4cOHDg4DSCo/E7cODAgQMHpxEcxu/AgQMHDhycRnAY/0nAH//4R9u7sLsbDh48CEEQkJOTg5KSEjzyyCOWOEePHsXZZ5/NXJrTU/GTn/wEJSUl6Nu37wkrT1NTE6677joIguAcWBIGn376KcaMGYPRo0ejsLAQv/71r081SQ4ixMGDB1FSUoKkpCTmoJ6TgVWrVmHKlCkYNWoUCgsLcdNNN53U/HskTu0xAqcPeFdiHgvee+89mjFjBo0bN44KCgqoqKiI7r//fibOq6++esz5dETnv//9b8rOzqbBgwdb7tg2Yu7cuVRQUEDFxcXMP+PBIUZs2LCBLrnkEiopKaGioiLKy8ujq6++mpqbm5l4b7/9Nk2cOJEKCwspJyeHzj33XOYuciM+/vhjGj9+PI0aNYqGDBlC9913n3Z/vBnq9a12qKqqoscff5xmzZpFI0aMoLFjx9LMmTPp8ccfp/LyctvvFi5cSIMGDaIRI0ZwrwwmUq5c/d///keXX345jR07lkaPHk3Dhw+nO++8k6qrq7npvvrqqzRq1CgaNWoUDR8+nHvAT2dRXl5OV199NQ0ePJiGDh1K5513Hu3cuTOib5cvX0433ngjjR07loqLi2nYsGH0gx/8IOJrVysqKighIYFeeOEFIlIOtOnMtcmnAhs3bqQHH3yQGhsbTzUp3Qadve76eOH1eqlv37507733EpHSjwoLC7s8nw8//JD+8pe/dHm6pwoO4z9J6ArG/9BDD9GoUaO0yVSWZXrwwQepoKCAiXc8gy8cnU1NTTR9+nTav3+/dte4HebOnWu5u94OX3zxBfXu3Zu++uorLWzx4sUkCAIdOXJEC/vTn/5EgiDQf//7XyJSyn/77bdTUlKS5W74Tz/9lFwuFy1YsICIiGpqamjo0KF01VVXcWkIx/j//Oc/U+/evenBBx+knTt3kizLRETU3NxMb731Fk2ZMoX++te/cr+dNm0abdiwQUufx/grKysJAP3617+mUChEREo7FBYW0qBBg5g70YmIXnzxRYqLi6M1a9YQEdG+ffuod+/e9Mtf/pJLQyRoaWmhwsJCuvrqqykYDJIsy3TPPfdQ79696fDhwx1+HxsbSz/4wQ/I4/EQkVLfkydPpvT0dMvJcjx89NFHBIARNNS0uiteffVV2zY9XXGyGf+mTZsIAP3vf//Twk5Ev5k7dy7l5uZ2ebqnCg7jP0k4Xsa/YcMGEkVRm+xVtLW1MZ2e6MQxfkmSNK2yqxi/x+Oh/v3705NPPml59+mnn2qD2O12U2JiIs2ZM4eJ09bWRklJSfS9731PC5NlmQoKCujcc89l4r799tsEgDkuVoUd4//5z39OQ4cOpb1799qWIRgM0o9//GOuRhAMBpn07Rh/WlqaRWP/+9//TgDoH//4hxbW0tJCKSkp9JOf/ISJ+/jjj1NUVFTEGrYZDz/8MImiyFgvvF4vpaam0s0339zh9/Hx8VRXV8eEffnllwSAHnjggQ6/74lMtCfSfKJxshn/119/TQAiVjKOFd81xu+s8UeA3bt3M+tX77zzDkpLS9G/f39ccMEFqKmpwb59+3DJJZegsLAQY8eO5d6iZYS6Rz0mJgZz587FQw89hIkTJyIrKwvjx4/H0qVLmfh/+9vf0KdPH0yYMIEJT0xMxLnnngsAaG1tRUlJCdatW4d169ahpKQEJSUl+MMf/qDF37dvH6688krk5OSguLgYxcXFuOeee1BWVtZhPYiiqN2/3VWYP38+Kioq8L3vfc/y7vzzz0d8fDwA5TIat9uN0aNHM3ESExNRWFiIzz77TLtbft26ddi/f79lf7v6bL6X3g4ffPABXnnlFcyfPx+FhYXcOFVVVZBlGS+99BIWL16MXbt2Me/Nl+rw0LdvX1RVVVnqVr1yuLGxUQv7/PPP0dLSwi1bKBQ6ptv2AKVOioqKtCuEASAuLg7Tpk3Df/7zH8vNcWY0NjZqd7iHo5+Hq666Cr/97W8BKG1eUlKCZ599FvPmzUNhYSEEQcAHH3yAuXPnYvz48YiOjsYll1zC0D5u3DgMHjwYOTk5uOKKK7Bv3z7tvdHH5qWXXsJtt92GMWPGYMCAAXj88ccBAG+88QZKS0sxYMAA3HDDDR1e5zxv3jwLzeqNiNOnT9d8RrZu3YrzzjsPI0aMgCAIePrppwEAjz/+OCZNmoTx48ejuLgY55xzDjZs2KClr47l9PR05OXl4auvvsKsWbMwaNAgjBs3znKT4N69e3HJJZeguLgYY8aMwYQJE/DQQw9pFxMByqVVjzzyCIYMGYIRI0Zg5MiR+P73v49PP/2USWvRokWYMWMG8vPzkZubi/POO4+hTcV//vMfDB8+HNnZ2Zg6dSrefPNNbl0REZ5++mkMHz4cw4YNQ35+Pn7+858ztEVSZ7w2+OEPfwgA+OEPf4iSkhLcd9992vuFCxdiypQpKCwsRF5eHq644grLPPfBBx/g7LPPxtixY1FSUoKJEydql3wZaVuwYAEqKiq0OfWOO+7AwoULUVJSAkEQmGOzzzzzTK3dVJj74J133olJkyYhPj5eO5MjUpoXLlyIqVOnYuzYsSguLsasWbPwz3/+k1tHtjjVkkdPQmlpKfXp04eeeuopIlJMvfn5+XThhRfSL37xC81Eetlll1FBQYFmtiWy16Rzc3MpISGBnnnmGSJStOqbb76Z4uLiaM+ePVq8oqIimjp1Kn3wwQdUWlpKw4YNo7Fjx9Kjjz5Kfr/fQidP6j548CBlZGTQjTfeqGmiW7dupV69emnaaqSWiUg0/h/+8Ic0depUGj58OI0ZM4buv/9+ampqYuL99Kc/JQC0bt06uvTSS2nEiBE0bNgw+r//+z/mAo81a9YQALrrrrsseY0ZM4YAaJfOvPzyywSAPvjgA0vc5ORkOuOMMyzhZo1flmUaPHgwYz5fu3YtnXfeeVRUVERnn302ffvtt4y2sXLlSrrjjju49RFO47fDn//8ZwJA69ev18J+9atfEQDasGEDE7e+vp4A0HXXXceEV1VVMf2QB6/XS6IoMlYTFbfffjsBCGvxsMMHH3xg2w5m2GnPqkY3btw4bTy8+uqrdPHFFxORcrFOVFSUtqQTCATommuuoczMTDp48KCWjtqvR4wYQbt27SIiok8++YQA0N13303vv/8+EREdPXqUkpOT6cEHHzxmmon09r722muptbWViJQxoY6zlJQUWrt2rRb/rbfeopSUFDp69CiTzty5cyklJYXmzZtHsiyTJEl02WWX0aBBg5h2HTx4MGNZWbFiBcXGxjK0qRfx7Nu3j4gUK9rFF19MxcXFWpz58+eTKIr04osvEpEyDu69916Kj49n6F2yZAkJgkC/+93vtHj33HMPZWZmWuaeu+++mxISErTLlKqqqmj48OF03nnndarOeLDT+NVyPP/880SkWN6uuuoqGjBgANXX12vxzjnnHHr22We1561bt1J6errWn1SE0/gBWPoLL77aBwsLC7W6+Prrr7X6j4TmAwcOUGxsLC1evFhL989//nOnrREO4+8ESktLKT09nQKBgBZ22223aYxLxXvvvWeZLMMx/sLCQm3dmIiotraWYmJi6IYbbtDCkpKSKDExkcaNG6etuX799deUmppKF110kYVOHuOfO3cuxcTEUG1tLRN+77330nPPPReWTl5a4Rj/bbfdRrfffruW16ZNm6iwsJCKioqYNesLL7xQuzFMNcGXlZXR6NGjKTc3V+vwqql/2rRpTD6tra2UlJREAGj58uVERPT73/+eANCiRYssdA0YMICGDBliCTczflXQUJnEzp07KTY2lh599FEKhULU0tJC1113HTPpyLJsa+bsLOMPBAI0fPhwuv7665nwH/3oRwRAm7xVBINBAkBnn322FrZs2TISRZF+/OMfh82rvLycAFjyIiL69a9/TQBoxYoVEdFtxOzZs2nGjBkROR12xPgfe+wxLczr9dKhQ4eopaWFkpKS6JJLLmG+qaqqoujoaJo7d64Wpvbr2267jYmblJREI0eOZMLOP/98rnAYKc1Eensb662urk5bDuE5TWZlZVmWvNRxVlNTo4W9++67BEAThGprawkAcyMikeITo44ftR5VBUPFli1baOLEiUSk9N+8vDxGECAi8vv9FoY+ffp06tu3LyN8uN1uSk5OZuLt37+fRFGkn/70p0yab7zxhmXZraM644HH+GVZpkGDBlFRURET9/DhwwSAHnnkES1sz549FsH4qquuovPPP58J60rGbxyPkiTRvn37Iqb5/fffJwCMgOjz+ejhhx/m0mYHx9TfSeTn5yM6Olp7Tk9PBwAMGzZMC1NNnpWVlRGlOWrUKGYrWWZmJgYNGoQVK1ZoYV6vF263G0899RSys7MBADNnzsTPfvYzfPzxx1i2bFmH+SxcuBCDBg1CZmYmE/7kk0/itttui4jWSPHcc8/h2Wef1fIqLi7G008/jR07duCvf/2rFs/r9QIAbrnlFkyfPh2Achvfn/70Jxw6dAgvvPACACAhIQG//e1vsXz5cvz1r39FKBSCx+PBnXfeqdWduiwQDkQU0ba99evXIzo6GoMHDwYAPP/888jIyMD9998Pl8uF5ORkZgkFUG7L68gkHinuu+8+xMfHM3UVCYxlS05ORmpqKvr163fMdFD7wZ6d3er43HPPYd++fXj77be7ZHlo5MiR2u+4uDjk5ORgxYoVaGtrw6RJk5i4WVlZGDRoEL744gtLOsZxCijj1xyWkZER8djtDN0ZGRna3OB2u3HllVdi9OjRmvm4oaGBWaIwfte7d2/tWR1TVVVV2vuSkhLceuutmDdvHlatWgVZlnH33Xdr89PChQsBABMnTmTSHjVqlLZssGfPHhw8eBCTJ09m4sTExGDs2LFYvnw5vF4vJEnCqlWrMGbMGLhcLi1eQkICCgoKmG+//PJLyLKMadOmWfIFgK+++iriOosUe/bsQVlZmSXP7OxspKamMnkmJibirrvuwrhx47S2+OKLL7jt0FUwlk8URRQUFERM86RJk5CUlISpU6fiiSeewN69exEbG6stO0UKh/F3EomJicyzOiEaw9WJTpKkiNJMSUmxhKWnp6O8vFx7Tk5OBgCMHTuWiTd+/HgAsKz58VBXV6dNBKcCU6ZMAQB8++23WlhnyvWLX/wCb775Jt555x0UFRVh5syZGDFiBH70ox8BgCYQqRNjS0uLhYbW1laL4MNDQ0MDevfurbVlWVkZcnJyGCY2cOBAS9qRCB8d4YknnsDixYvxxRdfaPWjwq5s6rOxbMXFxWhoaOjw2t709HSIomhbX+Z0O8Jbb72FP//5z1i8eDHjM3A8MNcDoPRnANw+nZGRgdraWks4b/yaw0RRjHjsdgQe3Vu3bsW0adOQmZmJtWvXYtOmTdi0aRP69+8Pv99viZ+UlGShD9DnF0EQsGTJEtx1113473//iylTpiA3NxdPP/20JriFqysVHdWnJEloaGhAXV0dgsEg0tLSLPFSU1O5aT7wwAOagFNSUoIbbrgBWVlZcLvdljR4ddYZqHnOnz+fybOkpASJiYkIBoMAFOHrzDPPxPr16/HZZ59hy5Yt2LRpE773ve9x26GrEK4vd0RzdnY21q1bh9mzZ+Oxxx7DkCFDMG7cOHz++eedoqFjzyMHJxzNzc2WsPr6es05CgCKioqwYsUKi0apOo+pAzwcMjMz0dDQcJzUdgx1gjBqKQA07SAUCmlhRUVF+OijjyIu17XXXotrr72WCbv88ssxdOhQLT/VWebAgQNMvLq6OrS2tqK4uLjDMqSlpTGMMC8vDxs3boQsy9rEe+TIEeabv/3tb7jqqqs6TDscHn30USxYsABff/01d2I1lm3MmDFauFrWSMpmRlxcHIYOHWqpLzXd5ORk5OfnR5TW66+/jsceewxLlixBbm5up2npDFRhhNen6+vrLf2vu+Cdd96Bz+fDI488gtjY2C5JMzU1FY8++ih+97vfYdmyZXjyyScxb948JCcn45ZbbglbVyo6qk+Xy4X09HTExMQgOjqaG6+pqQm9evWypPnUU0/h4osvPp4iRgw1z2uuuQZ/+ctfbOOtWLECe/bswfvvv4+srKxjzk8URcs81ZFzqBmR0gwAQ4cOxT/+8Q+88MILWLBgAR566CFcdNFF2LZtG4YOHRoZzZ2izsEJwbZt25iOU1dXh7KyMs1LGAAuvfRSAMDmzZuZb9Vno7kzOjpaS8/tdmPBggUAgHPOOQdlZWWadKnikUcewVNPPdVl5Tly5Ahyc3MtWtP69esB6No8AM07O5JyrV+/HocOHWLitbW1YfHixfjpT3+qhU2YMAGDBg3C4sWLmbjq85VXXtlhGcaMGYO2tjbN5Hfbbbehvr4ejz32GCRJQltbG+6//34Airf0yy+/jA0bNuAHP/hBh2nb4de//jU+//xzLFq0SGP6n3zyCR5++GEtznnnnYfk5GRu2VwuFy677DImvLq6OiLt9corr8SOHTsYE7ff78e3336Lyy67jLF0eDwerrD6t7/9DU888QS+/vprjemvX78et956awSl7zymTp2KpKQki7WrpqYGZWVlOOecc05IvirUJT91rC1btgxHjx7t8DtVmzTWqSRJqKmpOSY6ampqcOeddwJQtP8ZM2Zg/vz56NWrlzaO1Low7zbasGEDZs+eDVmWMWTIEOTl5VnqMxAIYOPGjZg+fTri4+PhcrkwefJkbNy4kRHiPR6PRXicM2cORFHExo0bLXTfcccdES1RdhZqOXh5vvzyy3jxxRcB8NsB4C/RGudUIsJHH32k7SLKysqyCEE7d+48ITQvXrwYr7zyCgBFYL/yyivx73//G6FQCNu3b488w055BJzm4DnN8fZ/8xxOwjn39enTh/Hqv+WWWyg2Npbx6ne73TRs2DA644wzNM/47du3U58+fSzOfT/60Y+ooKCAZFmmzz//nAYNGqTRYPbqX7t2LfXp04e2bt0alk4zwjn3qWncf//9muNMeXk5lZSU0IABAxhHJSKiG2+8kfr06UPbt28nIuWgoDPOOINx7iMiuuWWW+i8884jr9dLRMqe9iuvvJLmzJljcdBZsGABuVwu+uSTT4hIcYAaPnw4XX755Vyaze0oSRLl5ubSo48+qoWtWrWKzj33XBo2bBjNnj2bli9fTvn5+XTRRRfRa6+9xjho2qVv59w3b948SktLo1deeYXefvtt7d9PfvITxkmNiOj555+n+Ph4zaH0wIEDlJWVRffccw8Tb/ny5SSKomXPPw/qDpVrr71W253yi1/8gjIyMiwH8AwZMoQyMzOpra1NC3v66acpLi6OnnnmGYb+Bx54IKJ93R0599nt01a9+j/99FMiUpwcr7vuOsrIyOB69fPGn7l+I92zre7q+OabbygYDFJ2djYtXbqUiMIfCLVkyRICQPfee6/WZx555BECEBEt5jopKyuj6OhoWrJkiRZn9erV5HK5aP78+VqY2au/paWF5syZw+wGUD3LX375ZSJSHOXuu+++iLz6f/7zn1NiYiLXqz89PV3rr7Is04svvkiDBg3SvPc7qjM7dOTV/89//lMLW7lyJWVlZWl01NfXU0ZGBs2cOVOjY/HixeRyuSx1/vvf/54SEhLI5/PRrl27KDY2VnPyvu6662jw4MHaKaNvvvkm9evXz9a5z25ujYTmV199lfLz8xnnvj/96U+UlJRk2RESDg7jjwB1dXVUXFxMiYmJlJiYSMXFxRrTycrKIgBUXFxMX331FT355JNUUFBAAKigoIAefvhhevLJJ2n48OGa97rx2Fp14nnqqado0qRJlJWVRWPHjmUGsYrq6mq6+eabKTs7m4YNG0ZDhgyhhx56yLKdb/fu3TRhwgQaNmwYjRw5UmN+RER79+6lyy+/nAYOHEjFxcU0Y8YMxrO2o8556623UnFxMaWlpWnlLi4uZg5+8fv99Pe//53OPvtsKioqouHDh1NOTg7dfPPN3M4ZCATo4YcfpsLCQho6dCjl5eXRzTffzGznI1IG1KRJkyg3N5fGjBlD48aNo8cee8z2GN758+fT2LFjadSoUTR48GD6xS9+oQkNZvAmnX/961+UlpYW0clzdnj44YepuLhY6yfDhw+n4uJiZhLdvHkzAbD9Z2YGRET/+Mc/aOTIkTRq1CgaNmwY/eEPf7B4z2/atInS0tIi2ppGRHTkyBG68sortSN7zz33XE0YM6K0tJSKioq0em9ubg5Lf0eM/8orr6Ts7GymfjweDz366KPMWBo3bhz3+7fffpvGjh1LBQUFNHDgQLr88suZHTX//Oc/mfF311130a5du6i4uJiio6MpLS1N2y0ybdo0SktLo+joaCouLrY9DlrFj370I8rNzaWioiLNc/2SSy5h5oVbb73V8t3rr79Ow4cPp7y8PCotLaXf//73NGDAAEpLS9O87CdOnMjQsm/fPnrmmWeYOnn88cfJ4/HQQw89pB2XXFxcTOPGjaM33niDyTMQCNBDDz2kHfU9evRoeuyxxyz95ssvv6Rp06ZRXl4e5eTk0DnnnMPsWlLxn//8h4YPH04DBgygcePG0XPPPUelpaXaHKnuiCEievbZZ2n48OE0ZMgQKikpoeuuu44ZV5HUmRl33XUXUxdqHan44osv6IwzzqCcnBwaO3YszZo1y3J416pVq2jatGnUt29fmjFjBv3whz+k888/X6tzdYtwdXU1nXnmmVRYWEjDhw9nDtUqLy+nCy64gAYMGEBTp06lp59+mubOnaul8c0331j6YHFxMfc47o5oPnDgAP30pz+lESNGUHFxMY0cOZLmzJnT6V03AlEEi8MOThjy8vIwc+bMbnN5z8GDBzFo0CC8+uqrx2W27ml46KGH8PDDD1vW6n7yk5/gm2++wcKFCzXnQTMqKirQt2/fLj/cyIEDBw5OBJyZygEDl8uFrKwsPP7447a3832XoN7O9+9//5vr4PPiiy/immuuwfjx4/Hoo48y23zq6urw3HPP4eKLL9a2Vjlw4MBBd4ej8Z9idDeN3wEfhw8fxj//+U8sXrwYdXV1SEpKQmZmJi688ELcdNNNSEhIONUkOnDgwEFEcBj/KcLXX3+NefPmYceOHUhKSkJOTg7WrFmDmJiYU02aAwcOHDj4DsNh/A4cOHDgwMFpBGeN34EDBw4cODiN4DB+Bw4cOHDg4DSCc2TvSYIsy6ioqEBycnKnLzxx4MCBAwffDRARWltb0b9//1O2Bdhh/CcJFRUVtvvAHThw4MDB6YUjR45YLvo6WXAY/0mCeiPTkSNHuLfxOXDgwIGD7z5aWlqQnZ193LcQHg8cxn+SoJr3U1JSHMbvwIEDB6c5TuWSr+Pc58CBAwcOHJxGcBi/AwcOHDhwcBrBMfU7cODAgYNuDyLg4EFgxw4gGAQyM4GSEiAp6VRT1vPgMH4HDhw4cNCt4fEAb70FHD0KqDvgiICvvgIuuAAYN+7U0tfT4Jj6HThw4MBBtwUR8M47QHm58izLyj8i5e/HHwN7955aGnsaHMbvwIEDBw66LY4cAQ4fVhg9D4IAfPPNyaWpp8Mx9Ttw4MBBD0HAT9i6lVBWppwAl5MjoLhYQFz8d/c00F27FPO+LCvPjXILGqkVuWJfuAQXiBThwOMBnNuxI4PD+B04cOCgB+DoUcJb/5bh8ylaLgDs3EH4ajHhqmtE5Od/N5l/MMg+H5SqAADVaER/V6YWHgqdTKp6NhzG78CBg26L1hbChvUyDuwnEAE5eQLGjReRlqYzOZ+XsHkTYc8eGaEQMGCAEicjs2cwwqYmQtl+giQB/QcI6D/ASndbG+HNf8kIBJRno9k7FALeeUvG//2MrZfvCrKydG3fiBAk7XdcHJCYeBKJ6uFwGL8DBw66Jfbvk/HeOzIkSWd0FRWE1SslXHypiJGjRFRWEN78lwSvV/+u/Chh9SoJ550vYvzE7uvG5PcTPlkgY8d2dvG6bz/g+5e5GMFlw3pCIMBf5yYCJAlYu4Zw9jnfPcY/ciSwcKFV81chCMD48YDLdXLp6snovqPCwUlBdRXh449CeOrJIP74eBBvvhHCnt0yyM6TxoGDk4CWZsJ77ygavLErqp7cH30g4+hRGW/+S4LPx36rxv/fZzIOlnFUxW4AkgnvviVh5w7rOKuuAl5/VUJrq/5u925i6uGIVIuDUrU2TomAXTu/m2M2Lg649FKFwZtPuRUEoG9fYPr0U0NbT4XD+E9j7Nwu45WXQ9i6heD1AH4/cLCM8N7bEr78XHKYv4NThvXrFU3fDoIALFoow+sN7+29akX3ZPz79xMOHbLX4D0eYM1qnXbj+jURoVZuQoPcggB0NTgUpr56OoqKgJtuAgoLdeYfGwvMmKGEx8aeWvp6GhzGf5qitZXw4X8lkMyun6kT0ZrVhN3fUQ3CQffH/n2shlsmVWGvVK4Jo7IMVFay3xyV6rArdAQyKR2aCNi/H91SgN26hRjttVl2o0Zu0p6JgM0bdboH9DccXGNIR/0tCED//ieM3G6BnBzguusU7X7aNMUKcOaZQEzMqaas58Fh/KcpNm2QTSZU0iZMQJlIVq/qntqSg+8+zM5cjXIbWmUvfAYN18zPa+QmeMiPRmqzjdNd4G5jBZv9UiWOSnVoI91Zwei3MH6CyHVwU0EETOzG/gxdCVEEoqKsZn8HkeP06CkOLDh6hJ14dkvl2Bg6gBAp9kIioKK8m86aDr7zyM0VNA2XhdInRRHIyAg/+QsC0H/Aqb3+1A6pvfjlC5Jurzfe3t1/gIAzz1LKYSyO+nvyFAH5Bd2vnA66Jxyv/tMU5knHTYqHVAt5kC4kA3AkagenDuPGi1i7xn7RWpaBmWeJ+O/79r4ARMCkyd1TtykZI2LTRvvyCQIwdhxL+/QZIrL6Er79VsKm/Ur5+vUDzpomYniRNY1QkLBxvYQNayU0NhBiYoCiUS5MnOJCekb3rBcHJwdO65+m6Eg7EMWO4zg4NZAlQsBP3XLtuquQ2VvAhd9TpiejkKoKo7Nmixg6TMT3Lxchivw44ycIKBrRPfvwwGxg1Gg+bYKgWDPGT7C+HzJEwI1zXZgxQ8CMUgHXXu9C0QjBYtUIBghvvRHAos9DaKhXrHt+P7B5g4R/vhTA0SPOMt7pDEfjP00xuljE0q9l+P38dVBZBiZPdeTC7oTqShkrlwexZ6cMWQYSEoEx46MwcWoUYmO7J4M7HpSMEdGnj4A1q2Vs3gqAFK/us6a5kJunlHfYcBE/vFXAmlUyNm8EZAL69Qe+N0PE0GFWhthdIAgCvneJiF5pMtasIqiuC6IIjBgp4JzzRMTGhV/HCFey5UtDqDhqHdjq5TYfvBPAz34eC5ere9aPgxMLh/GfpoiNE3DtDS68ZdoHLQgABOD8C1zIyXUYf3dB2X4J778ZAAFQfTA9bmDFNyHs3SXhuptiwzOKHor+AwRc8n0XypKVvnjRlChkJrHlzMoScNHFLuxLUOKcPcKFYf27f98VRQEzz3ThjGkEz0cCZAIumyiiOO/4TqIJhQgb10mMQB8kCVEQIQgCiAC3G9i7W8awop576s132eJ1otH9R4eDE4b+A0T87I4ozDlHRK80ASmpwOjRIn56WxTGjne6RndBKEiY/58AiHSmr4IIqK0hLFtic6yZg26P6GgBqb0EpKUJSIjgsp2OYjQ3Efx+/bmVvNgcOoQyuUYLE0WgqsIx95+ucGb30xzxCQImTXFhdLGIkjEuTD7DhfSM757m2JOxe6cEn+GgGpkIfmK3tW3eICEYdDQgB9aja6vkZgBAg+zWwgiA2HOVfQfHCYfxO3DQzbF/D+v9vVeuwpbQETTJHi0sGABamx3G70DZKpiWHl54JxkoGNyzOX939d/oCXAYvwMH3Rg7tgSxc1sIxvPaWmTlZJdaamHiuhyPHQdQGOKUafZMXRCBAQP5twA6OD3gMH4HDropPG7C5/P9EEDoaGU3s4+AlFRnInegYPQYF6ZOb2f+ardo/5uZKeCyq2NOqMbsON51bzg6ggMH3RTbNgUhy+p8rRypHAJ/Qj1jRpRj+vwOIBJ2GUkcQRBQOisaRaNceOkzEYfqBbiigO+fHY3BQ0SIJ2Abn89L2Lg6gC3rA2hrJcTFCxhREo1xU2KQnNL1OqYjXBw7HMbvgAERoao8hNpqGVFRQF5BFOITHcPQqUBNle51LULGFqkcfgqZYhFmzIrG8JHOUHZgRe8+IkYVu5BUp2j/Q4efmHV9T5uMt//pRnOjfhS4z0vYsCqA7ZuCuPrmBGT07tk+Bd8lOLOFAw0et4xP3vNAbNQlaVEERo+LRuk58XBFnRyNkogghRSvY1E8fbXY6GjlXAUiResPUNBk8CeIkDFpijOMjQh/tI2DE4Gv/udjmL4KIsDvI3z2Xy+uvzXRsUp1EzgzhgMAyuDcvjGAQZBh3M0ny8CmdUF4PYQLrkg8oTQEA4SNq/3YtEYxFQoiUDgsChOnxSGr/+mnLRQMicKWDbqGb54yRRDyC10nTSBz0D3Q3Vrb3SZjz45Q2AODaqpkVJXL6Dfw9BvH3RE9zob74YcfYvz48Zg+fTpKS0uxffv2sPGXL1+OyZMno7S0FJMnT8ayZcs6lWYoFMIrr7yCM888E2eddRbGjRuHm2++GTU1NZZ0ejLKD4eUy054y2YE7N4eQnWF/aUix4tggPD+6258+5Ufba0KESQD+3aF8PYrbSjbe/odUJM/xIX0TAGC7SgVMGmacxm5g/A40Up2bTV7xXet3IYNoaM4Ijcx8aorT9z84aBz6FGMf82aNbjxxhvx5ptvYtmyZbjllltwzjnnoLW1lRv/0KFDuOCCC/CHP/wBS5cuxRNPPIELL7wQhw4dijjNqqoq3H777XjmmWfw1VdfYcWKFThy5Aguv/zyk1LmY4HPK2PHJj82rPRh384ApFB4JxhZJtRW6Ud8EhEq5Ra0kn78lygCO7cEThjNq5f5UV0hWU2FsmJ1+PQ/HgQDp5czjygKuPKGeP1AJUH/JwhAyfgoZB/n8a4OHBwvzAcGHZQbAACVckvYeA5OHXoU43/iiSdw/vnnY+jQoQCA66+/HqFQCK+//jo3/rPPPothw4Zh5syZAIDS0lIMHToUzz33XMRpxsTE4Oabb8bo0aMBALGxsbj11luxbNkyVFRUnKiiHhNIJqz82ou//6kZX3zkwbIvvPjkXTde+XMz9u20Z9qhoMJcVTSQB4ekRmwPVelpE+BuOzGMV5IIm9cGGKbvpxBkQ0DAD+zefvpp/cmpIn7wfwm49Oo49OkrIrOPiNxBLoyfEo2Buc5M6uDUo+8AF2Jiw8cRBMVR2EH3QI9i/IsXL8aECRO0Z1EUMW7cOCxatIgbf9GiRUx8AJgwYQITv6M0+/TpgxdeeIFJIy4uDgAQCJw4DfhYsHKJD6uX+rT7yVW+6fUQPnnXjYP7+IwzOpqVxr0we44DEIDklBNjM3S3Evw+4wE1PmwMlWOnVK2FiSJQW3V6mgpFUUDhsCgUDo3CkOFRGJDjQnRM59siFCSUHwri8IEgvG7nnHYHXYPoaAHjpthzfkEAho2MQnJqj2I332n0GBGsvr4ezc3N6Nu3LxPet29frF27lvvNgQMHcMUVV1jiHzhw4JjTBICVK1di/PjxyMvLs43j9/vhN9yU0dLSYhu3K+B1y1i33Bc2zreLvMgrjLaEC6KAPv1cqCq3Z6wkAyPGnJj15ChTL6yhNgBglhqUeN3NralnQJYJa5Z6sXGVHwG/ImCJIjBkZAxKz01AXMJ3a0J2HMdPPibPiEFLk4ztm4JK/RvOnMoe5MKci+JPJXkOTOgxjN/jUc4lj41lJcvY2FjtHe+bcPGPJc26ujq88sorWLBgQVh6H3/8cTz88MNh43Ql9u0MMuZ6DwVQJ3vQX0xGlKCo87VVEhrrJaRlWE3EA3KiUF8jAzK4Dn7FE6JP2D7chCQRffqJqK2SLWv8KmQZKBjaY7prtwER4cuP3Nhl8s+QZWD31gBqKkO46oepiIl1uKWDY4coCjj3kniUTIjB0QUuuD0SomMEXHFBArIHuZxtfN0MPUbUT0hIAABGi1af1Xe8b8LF72yaoVAIV199NR555BFMmjQpLL33338/mpubtX9HjhwJG/944fXKjPf35lAVyuUWHDR51no9fM4aHSNg5NgY9M9mmXtMLHDGWbE467wTK7FPnhFny/QFAeg30IV+2c6admdReSRkYfoqiIDGOhlb1oa3FDlwECn6DnChcFg0ho+OQeGwaOTkOydKdkf0GBUqIyMDqampqKqqYsKrqqqQn5/P/SY/Pz9s/M6kKcsy5s6di9LSUtx6660d0hsbG2uxJJxIpKS6LHe1A4CbAqZ49rJebJyA2RcmYFi1iKU73RBFAT+5NAVR0Sd+4BYOj8bMc+OwdKFP81pX0aevCxdfk+BMIMeA7Rv9EERofcNNAQRIQpqoCHJEwLb1foyf5phiuwM6ewqtc2ytg2NBj9H4AeCss87CunXrtGciwoYNGzB79mxu/FmzZjHxAWDdunVM/EjT/NnPfoYBAwbggQceAKA4Dqq+At0BhcOjw3rWCgKQkx+FpAjOzE5MFpGW4UJqmnhSmL6KsZNj8cO7kjFkuLKs0LuvC5del4Brf5SIBOfY4GNCS5PMCIRbQtXYJdXBQ7qjZ2uL4+jnwMHphB41m95333347LPPsGfPHgDAm2++CZfLhblz5wIAbrrpJtxwww1a/DvvvBM7d+7EN998AwBYtmwZdu7cidtvvz3iNNU4O3fuxJVXXol169Zh3bp1eO+993D48OETXuZIERUt4Mzz+UseggBERQMzzuG/705IThUxdGQ0BhdFo2BoNAYNjoZwGh/be7xISBS4zm5eA+OPi3fq14GD0wk9xtQPABMnTsTrr7+Oa6+9FvHx8RBFEQsXLkRycjIAwOfzIRjUJ7Tc3Fx88sknuPfeexETEwO/349PP/0Uubm5Eae5fft2PPHEEwBg2Rp47bXXnugidwrDi2MRHSNg+SIvYFi9GJAbhZnnJSAzy1kjP90wbHQs9myzP/9AEICikpO3JHUscMzZLJzacHC86FGMHwAuvfRSXHrppdx3b7/9tiVs+vTpWLVq1TGnOWLEiB418RQOj0HBsGiUfxSLUIjQNz0Wl89K7lQaPai4DjpAbmE0+udEofJIyNKugqBo+yWT4k4NcQ6OG47fi4NjQY8y9TuIDIIgICFJREovF+J74B5tZy6LDJFM+qIo4OLrklE43Hp+Q2aWC1fckoLE5J7XRxw4cHDs6FKN/6mnnsLdd9/dlUk6cODgOBETK+D8K5PR0iih6uMqkAycNy4JU0alnmrSHDhwcApwTIx/6dKl2LRpE1paWhgz+GuvveYwfgfHDWep4cQgJc2FPv2UId/b8fdw0MPhTBPHjk4z/jvuuAOvvPIKhg8fjpSUFOZdU1NTV9HlwIEDBw46QE/yP3LQfdBpxr9w4UIcOXIEGRkZlnc333xzlxDlwIEDB8cKx0fEgYPw6LRXz7Bhw7hMHwD+/Oc/HzdBDhw4cODAgYMTh05r/D/+8Y/xpz/9Cddeey369evHeBZ///vfx1dffdWlBDpw4MDB6QI6jpVrWSLs3+7FznVutDSEEBsvYnBxAoIxznKAAxYRMX5RFBkGT0T45S9/ecKIcuDAgQMeHCs+H1KI8Plb9Sg/4IcgKA6ynjYZaxa3YG9UMzJGuRAb/93atun0hWNHRIy/uLgYTz/9dNg4RIR58+Z1BU0OHDg4DgT9MtytEqJjRCSmnJ7e+23NIexc58bhPT7IMiErOwYjJiQho1/MqSatSyHLhIoDPmxb04byMuWWUcbfj4Cgn3BguwfDxyeeFJpOlo+FY8c4dkTE+H/zm9+gtLS0w3h/+MMfjpsgBw4c56xjg6dNwrrFzdi3xQ1ZUsJ6D4jBuDNTMLDw9Ll9r+ZoACs+b4Es6UywuT6E3Rs8mHJuKkZO7txJlt0VdRUBfPDXaog+EQQBRh2YiDQrrar9tzVLp4hSB90NEdl+LrvsMu333/72N8v7trY2TJw4EV6vt+soc+DAQcTwtEqY//dq7N2sM30AqK0I4PN/12HfFvepI+4kIhSUsfKzJkghVvNVbyhc+XkzKg/6Tw1xEUCI0IBdfcSPw3u88HnVmxX171oogOVSNY7IbXq6AhzG70BDpxd93n33XUtYUlISPvnkE+0yGwcOHJxcrP+6GZ4WibmCF4BmD13+cSMC/u/+9bt1lUGEJNYIbNzrLojA1pWtJ5usLoXPI6GizGf7fq+kHKxWJvXscjo4cYjI1H/48GEcPHgQgHJIz7JlyywHRzQ2NjoH+HRD9MTzPXoizacSQb+MfVvcWr0REVoQRCKiECUosn0oSDiwzXMKqewc3M0hBAOExBQXomIiX/tpbQwhhaApwLukJrRRCGNdGRAFASRDWwvvjojEq//ADi8j4HkphEYKIktIgGizTkYEpKT1uDvZHJwgRNQTXn31VTz88MMAlItBzOv9giCgT58++M1vftP1FDpw4CAs3K0SpJD+XEM+7JKaES9EYWJUJgBAFJV17u7uCn1krxcbv25CXUUAACC6gPyRCQjGyIiO6bxXeo2saMaNFECG0H79cA8XLD0tkua5DwDrpHrIBARcMnIFq/+CIACJKS4kJJ+ejp4OrIhoJD344IOQZRmyLGPGjBnab/WfJEmorKzEz372sxNNrwMHDkyIiWWHcS0pzM5LujRApFzW052xb3MbvnyzBnWVAS1MloB9m93Ys74NwYDcIc9O6hUV1jlUEIB+ebFdQ/ApQnySyNQDEUEAoVlW642tpbgEEQUjTh/nTgcdo9Mi9L/+9a8TQYcDBw6OEQnJLvQZGBOW4REBg0YkMM/dCQGfjG8/aVAeTLQRAcGAjMow69oqMvtFQwgzqxEBIycnHQelpx75RQk2hhuCAGUNQHQBSakuTL+wFybOTkF07HdrD7+D40One8ONN954Iuhw4MDBcWDsmam2zFwQgPwR8eiVGX1yieoEyra7IQX1AgRJRhMFNF8iIqCxOoBQBw6K0TEippzbC6KL3RaqCgPjz0rBwIK4Lqf/ZCI+yYW+OVarhQClzKJIGFqSgKFjEjF8fCJcUd3b0uPg5KPT3h4rV65Efn4+9110dDTy8vJwww034Prrrz9u4hycfAjC8R0b2lU0HA8aawLYsbIJh3Z4IIVk9OoTg+ETU5FfnARR/G5OggML4nDmZRlYtqABkNg6HDQiHjMuTj91xEWA5voQRBGQ2/n6eqkBPpIw3JWKPu1r87KsnFUA/lUhGvrlxmHMT3thx1o3Vq5THPoG5sdi9ozeyOIwzJ6IfoNiIboERFUKgMG/IyUtCiMKkhGM+e7v4HBw7Og047/vvvvwr3/9C9deey1ycnIAAIcOHcJHH32E66+/HrIs4w9/+AMaGhpwxx13dDnBDk4supsJuLMo3+fBV29XgUjfu91QFcC382txeLcbM6/Iguj6bjL/glEJyBkSB+9nfuyvAVwuAZdf0rdba/oqYmIFpu/5SNlzXks+jfEDiNhknZoRjSnn9sIql+LsNqWkF7J6fzeYvgIBWTmxuOz7Waj53A0pRMjrk4grzu6Lf686hLq2QMdJODht0WnGv2XLFqxevdpyQ99dd92F22+/HW+99Rb+7//+D+eee67D+B2cVAT9Mpa8V80cYANAWzM+ssuDXWtbUDQ59aTTdiLAE1+iY0X0HxQHX5JSCT2B6QPAoBGJ2PB1s+17QQASUqIQn/Td8kyXJUJ9pR9tTUHEJXS+bNHRotbGKWlRzJ0qHSHgk1C+z4ugT0ZKZjSycuM69X0kaKkPYOfqZhzZ6YYkETL6xWLYpFQMGJzQ5Xk5iBydZvwVFRXca3kzMjK0vf69evVCQkKCJY4DBycSB7a0IRTQ1UYiQgiEaIO3185VzRg+KcWZdLoZUjOjkT8yAQe2e7jb7Yh6vje+EUSEnauasXVZI/weGfuDrcqOg/pY5H4/AfFJJ27PPcmEzUsbsf3bJkghvbKT0qJwxiV9kJXbNTsAWhuCWPDXI4z1rfKAFxX7vRg6IQUTz890xuEpQqed+xobG/HRRx9Zwj/88EM0NCheuT6fD62tzqlRDk4u6ir8jEf3ZrkZy0P18Bi2tbU1hRD0fffWP+srfFj1cQ2+eK0cO1c2obk2YDlkq7tj2sWZyG/feSAIup9CVIyAvKIEJKcdu/WiuzGY9V/WY93Cevg9el8kAir3e/C/V8rh85y443U3LGrAlqWNDNMHlLHx5RsVqCvvePdER5BCMg5ub1PuSzAMN7VL7l7bgoPb2vgfOzjh6LRY+eSTT+LKK69Ev379kJ+fD0EQsH//flRVVeH9999HQ0MDpk+fjqlTp54Ieh04sIVoEmMb5SAAoFL2o8Cld3XhO+TgR0RY93kddq1uhiAqk2y95Efd0QDiklzwnSEhLrFnmMejogXMvLw3xswMYs/8ZkghQmFWMq45byBe+GZ/xOl0Mx5vQXNdADtW2CxrkHJq4Y4VTRg7uwMvRhuEE/c8LSFsX9lk+yHJwKavGjD7hv7HlLeKhqoAZIk01ZJIcRlWTxYUBGDHymYMGtU1FyZJQRmHdrThyC7F6tcrKwaDx6YiJTMG3tYQvG0S4pNciE92Ti8EjoHxf+9738Pu3bvx0ksvYffu3SAiXHvttbj11ls1Z781a9YgNva7Y5ZzcHJxrIrqgMIE7FkfxtIkAL0HxHabPc3GG9SOFbvXNGPXaoWJmM/p97klLH2vEufcNPC48jgZaGsMYu+6JlSVKccKE0nI7B+Hvtmxx3Rinxndyfqxb2OrJqQBgId07Z6g9P8961owZlZ62P5BRKg+6EFjlQ9RMSIoteNtimXb2iBAFw7aKIQ6CiBbiIdLUBwsK/Z74XMfn8DoaWZPidwqt6CegjjDlY4YQQQRUF/hhyzTce+0aWsM4svXj8Ld1J4nAVUHPNi5ognJ6dFobQhqcfsVJGDM7Ayk9+vZWzqPF8ck/uTm5uLxxx+3hNfX1yMjIwOJiSfn3mcHDowYOCQByWlRaGsK8YUHAkZO63WyyWLQ1hTErhWNOLC5BUG/jPhkFwaP74Whk3ohJq5zEy0RYfu3jWEiADWHfKiv8CGjf/ed6A7vaMXy/1QqGmd7u9WGfKg74kMfMQYoPrX02SEUkHF0jxu+1hDiklwYODQJUREIKe6mEKOWrwo1WOIEfDKkINneU9Bc40fFPjeSZAlHQ8rNi217/JgY1yts3j43e9zvmpDSf2SRkO9KhErYsvcr4PcoWvKg4lTkjkiCK6oTApiJ7Lr2UwVryI+BQrwW53iNM7JMWPzvckXQgEa+Vj4j0wcUgWDhP7yY84OByBzYfcfEiUaX2j2uuOIKfPXVV12ZpIPTEMeqBIsuAbNv6IcvXq+Eu1lf11fTGzcnHTnDTp1Q2ljtx5evHkHIL2sTk7dVwpYl9Ti4tQVn35yD2E54dntbJQRadG3RSxK2Si1oM2iQggBU7PN0W8bfUhfA8v9Ucm8VJAC7VjehZVLkW9OCPgmV+9yIbwB65/Cd1GSJAAHHpWnuXdeEDV/UKs6k7VpmVIyAMXN6Y8iEXmG/jU0QwajdHLiiBNuDdw7taMXhHe3r44YZPOiXseKDKtSPlIFUPpNOSImCzMm3DSEABBEyBAC1h7wgApprgaoDXuxaGYtZNw6MuH8mp0Wjqca+3QQByi6C42gDIqBirxut9cGOIxu+kSXCqo+rccFPcrqd78fJQqcZ/6ZNmzBv3jxs2rQJLS0tJ4ImB6ca3ccqyoWvLYRQUEZ8cpRFC0lJj8Yltw3Ewe1urP+6CbJEyBmQiEvmDERqZswpoljRzpe/X8Ewff0l0FofxPqFNZh6ab9OpWnEbrmNYfoAAEE/FKc7Ys/apvD9jYC9a5s6nKl8bSEc2taClroAol1BlIuxEESgPN2NfoMTlWtqNzdj16pGNFYqt/P1yY3H8DPSMWBI547w3b+xGWs+qWFoBIBQgLD20xqILgGFY+23jA4alYzda+3nTkEEBo1K4jJFWSZsWFgblr4jO9swcFKyxtSMzG3QyCSsX1jHZf6CoSG0rtX+t6naj5UfVWHmtQPC5q2kI6BXnxhUHvAw1gUjiIARZ/TqMK2OULHXwyybHJa9qJEDKHYla7t5JCI0URC9hGhtOaOpOoCGSn+3FYhPNDrN+OfOnYvZs2fj5z//OZKT9c5FRJg3b16XE+igcyAiyKF2m+l3TJqt2NOGbUvrUN/udRwVK6JwXC+MnJGBaIOZPCpaRGFJMgbVKhP60LyUU8r0AaDmkBctdbpmQkQIgBDbPjkRAQe3tmLcOX0i1qrik6JAMSFtC6PEmWFJBjL7d19/m4p97HXCm2XWR4Pa42CYfRpBn4QvXz2M1npWwyQZaKjywe+TsKU5Ft4dfsa2XHvYi5pD5SiZnYmiaZE50skSYeOiurBxNi2qQ35xiu1BUb2zY9G/MB4V+7yWd4KgaPsjp6Vxv6097IWnRbdmBThtHvTLcDcFkZRm7fNxiS6UnJWODYusywsCyNb0TgSU73GjtSGA5PSOx5LoEpA/OhnRe0QEDMcsq1PS2DnpGDD4+K1vksSWf6+kLHsckX3Idyk7RHbJbaiS/egnxqHIpQt5bQ1Bh/FHiuTkZDz11FPcd88888xxE+Tg2BD0y9i9qgF71zbC1yZhe6gBKX1iET80RYtDRGio8MHXFkJ8chTS+h3fgR31R73Yu64RzdV+RMWIyBmRjLziVETHdr0X+f71TVjzcRUzcYf8MnavbEDlPjfm3JzDMP/uhsZKP2Pe3SN7cFT2YYQrCX1FhTGTDDTV+JGVF9kZGKJLwJBxqdi5qonv0yAAialR6FfYfc/UMJr4AyDUy2azLXXo7LlvfTNaG4KGeIZOQoC7MYgjLa3IFGMY64Iaf9OiOvQrTERa346ZQPVBD/xu3ariIwnlshcDxVjECS4QBPg9IVSXedCvkM/Ygn4ZgRYfBMgWVktEmHB2OlIy+FsXfW7WorNV5juzBgP2lTZyWhpi4kRs+roRaNLDjZQ0URDbpDYMERPQR9QFx+qD3ogYPwDEJ0fhkjtysH9jK1Z/2whZJmTnJuL8M/sjvW/nhFFvaxDe1hBiE1iWlTEgDvs3Wq0nkqGhq2TFwlMp+xjGHx3XPZx8TwU6zfhHjx6Nuro6ZGZmWt5t2LABM2bM6BLCHHSM5lo/9q1tRE2ZG62NIWZfLpHiALSzrgHVQ9yQgjI2fF6NNoOzS0pmDMael4W+BZ0zdRIRNn9Zg10rGhgzW+0hD3Ysq8dZP8hFckbXadi+thDWflrVnrmZFqCl1o8d3zageFbvLsszUqjm9o4EKNElMLQflRVtb7/chv6iMgxVptEZFJ+ZjtqjPtQeMe29FpQ8Z17dr8vvJ2hrDODojlYEfBKSM2KQXZQSkVMbD1l58XA3B61r/CoEICs3AQdgbxrfv6GJqdsaCiBaFpAu8plngGSIEBClmsJFZc1+4oV9bfPweyQ0V/twcLO+DU+AjC1Si+YZPyUqFWL7TRdtzfbrzlu/qkNLbQBRUMhWTewCCC5I2PpVLQrGpHItBgmm7WhBG6moo50QQ8anonBMCvZ8qBz32z8uDtikN8JmqRUhImyV2jDLwPg7u+UmLsGFEWf0QqFHUUBGDkvrFNNvqvZh05c1qNrn1sIOJLSib34i0E9ZNtF8LTqBmHgRWXkdH1QU9MuoPtCGoF9GSmYs0gd0/emGpwLHpPFPmjQJs2bNQr9+/eBy6VrWa6+9hrvuuqsr6XNgg/0bmrD240oIgGG9ztQhSXm37O2jCAWsM2tLXQBL/n0Epddl2+bj90g4sKERh7c1K0d79o5FUnoM9qxWvIHZCZvgaw3if8/vQ1SsiNTesSicmI7sESnHxXzKNjcz802QZPggI1loZ5gE7FvXiFFnZp6US3iICOU7W7F7ZT3qjnohAOidl4BhUzPQbzB/X3I6Y24nw3qqoLWaAMLqDysQlxiFPrmRaelRMSLm3Ngfeze0YPuSVrS0hSC6BKRlxSBzYBzS+3WdmV8KEdZ/VokDG5oVj2xBaf/1n1Vh/IX9kDe680chD5nYi6uxaSAlzspt9nG8bawWXC37UQ0/ZotW832ICN+0e7LPjlbekww02BxaE/BK2LSwCge3NEOWVflCYdkiCG3th0O5SWJG34H1jRg8rpc1/4CM/Rt1C40AQDRILQKUMXd0VytyRqRYvs8cGIfEXlFAmNWGmDhRidMBRJeAxFRFOEpPjYV/i1cbz3ZyWO/srjnVLxI0Vvqw6J8HlaVLA7wtQZRtakJBr0REjxQx48p+WPJ2RadkktEzM8LuUiCZsP2bOuz8tp65NTK1TywmXdwP6QNOXj2cCHSa8b/88ssoKSnB3r17sXfvXuZdU1NTV9HlIAzqy71Yu6ASgHGA6tOOz+jgRYRgQLbfNkPKxI3hBLPg4PeE8PkL+5RTxNr7vrspqOknloTU/wkI+mTUH/Wi7kg5juxowdTLBx7z5TgtdQHGSehbqRkhIoxzJSOtXasLeCXsWFIDT0sI0bEiBhalQNWnuhpbFtVg17f1mumeANQe9KCmzIPRs/pg+HTWGuZrC2HVf45qpl3BNNEbIYUIy985gu/9fDCiosNrbari4YoWMWxSL4wVM1HeZF037ipoTB9gtt6FAoRVH1QgJt6FfgWJqC5zo2xTEzzNQcQnR2NQSSr6FvCd1dL7xWHCBX2w9tMa5tRFtW4LxqQirW8ssM2errgkF4LGdeT2+hVhPf3OzQkDCHJIxobPKiFLhLR+ccgZlQpBEPDVawfRUuM3OcMp3u92fEYA0FjhQ0OFF+n9WQbhbgoyjKRWtnq+CyLQVOVHzgg2XJYV/51x5/XBp/+qsXynImdEMuROaqVRMSIGFKfgwKYWLgMVRKBPTjxS+xy7IElEaKzw4nCTgPiUKGRmJwDt45onsK/7tEqxYnKsfBCAvWsbQGflon9hIs7/cQ52rGyEa2M9ZImQ1CsKA/snonyvYilQ5w/RpTD9oROtQioRof6IF0d3tqDqgBtN1da2aan1Y/GrhzDnR3noldVz/QM6zfinTZuGjz/+mPvummuuOW6CHHSMPatYE7uRfdTJAWyS2KMwjUMqSDJqKIg+QrTm9drWEISnRUZCisE0SoTDW5uRL6Wy66KmFP0kY53UggFiLPLEOCYvdQIp39mKPasbMGyqVQMjmdoHJDvwQwEZDRVefPrMHrhbZMayEGpPuJaCSEM0BMgQQNixrE5jhntXN6AssQ05IzuvhYZD9YE2hekD3PXiLYtrkFWQyEz427+phac5CBGAZNDwjeVxoZ2RExD0hvDVP8vQNz8Jg8b2QnLGqXfOa2sM6EzfBlsW12Df2ihU7mnTJlpB8OLI9hb0yU/E9KuzuUsCQyb0Qkb/OGz8tg5RO5sAAElp0cgcGI+++R1bPgrG9sKmRbXtzmlGoUph0HLYDeOKeb2t1ov99YrQdGA9sPmLamSPTEVztZ+JLUCACBkSEfwmvbhGDijnDkBhlEd3tVoYv3mL3mHiWBoIEA3xWur82LW8Doe3NkOWCK44Eam9o+FplZjjp2MTXJjx/f74urEO9cdwO9+4c/ugsdqPhgq/5V1iajSmfj/yHSdmNNf4ULW/DXLIjdr2pYOoGFETZuKSo1AwPg1DJimOuoe3NaP+qC7ESkRopBB6tVv5QIDfI6P6oAd98xPRKysWUy/pi9WJimVoXG4aZgzpDb9Hws73vAgGZETHirjsinyu82zAK2HFu0dQc9Ct7IQhAbxOo24H3PZ1HaZd3f0PxrJDpxm/HdMHgLfffvu4iHEQGar2u3WTHBHWSa2IF0SMciXhMFkHrRGbJTcaKYhaMQYlBkeXkJ+dxNoaAwh4ZRAjC1h3ChyQvfCQjH2SF4PEOC2eDMBliLtnVT2GTk7XtL76ox7sXl6Hij0tIBlITIvB4EnpKBifDk9LCPvXNkAKyXBHxbRP5XaOe6SbSg1aKAB4m4M4sr0Fkwut/iidBRHhyLZmrPukEkZLgiqEGNeL961twMSLlW1PUkhGWbtpVwAgkoxGMjqHyfg61IgsMQbFrgTN/6+p0ofmKh92fVuHkWf2QVEp679AMqGxwodDaEJSWgzSB55Y0+PRna2Mc2IThVAp+1EoxmsCZFOVD82qK4bpIJWaMjfWf1aJSZfwt4NlDIjD5Iv7Ymuap9O0DR6Xij2r6iE0sKqh2vtE1SxjmccVpq8GM8JlQMaBDY3MR/VyEDGCiGTBhRVSM/wmx4TNUhvmiOla3kbNXkViWjSSM2IsOxAYqggYMFQZm/VHPVjy+kHIIX0baMAbQlurD1FxLuSNToYsEaJjRBTkJCN7WBKwMvyuAztEx4o4+6ZslG1pxapFzfD5JERFixh7Zm8Ujkk5ZufZw1ubcXRH+1KNIQnj8qOvNYQdS2pxeGsziudkYdUH5TDW/V7ZiyOyDxkmv422hgCQb787IDbBhYwBccwzDyveO4LaQ4p1wGzxaKUQGiiEbCEWYvt2wKO7FR+Xzh661V1wTAf4rF69Gn/961/h8/nw7rvv4qWXXsLw4cNRWlra1fQ54MDYMVsgoYWCaCFglKtjJ71GUpyOauUAMwhdJrOyuynITJQHZC8Oy36MdyUjUVA/FDSdxzhWdsgeVMgBTIlKQVJ7XG9LSNlNkBKNozuaser9I0xZ3I0BbPq8CuW7W7CzqglSyLzfXV8TN0I1uQocwyuRku7GzyvR64iE/HFpSEg9NqfDbYursWt5XfvxJgoNEhG+DjUBAGZH9YIgCMpZ+Ud1Lc7vlljTLgWxWXLDjBrZD7RvP9IYUftn276uQWIvdcIjNJR7UVPmRr0chTiXwiiTM2LQUiigtckPnzsEURS61MEy4GNPfFsbammnBigynPjGBwEk4NCWZhTPzkJcF988Fx3nQkp6FGDdoaZBgKxo20FoJ8aF275mhpskbGi3pM2J7mVh+mbIMrhmcUEQMGJGBlZ9WGlHKPoWJCCtbxxIJqx8/yjkoKzJLcZaDvkkNFZ4kDOyV3va+ruAN4SGci8+3bYb690taEkgpA+Itz0mWg1zRYsoHJeKIU29EJIJQb8EyRPAktfKQDIhMycRBRPSkZwRg4ZyL6SQjJTecYhP4TtSyhJh4/9symoCEdBaF8CqD8pBMiupHW1XaNhdH9QljFcdT3qqbP2sUvu6C8gT4tRI8HtOI8b/0Ucf4frrr8eZZ56JQ4cOAQCGDRuG+++/H3fccQeuvvrqLifSAYveufGo2NMGko1Dgz+FCYDtIRoqElKikJAafiLbLynMbJ/sRXEHAkZF+7rlIdmHES5dGhdEAQGvhNUfHLWlp6bMA5/EHrkrkwxRIMgQoU1/7Xbx9lMkAAAhkrFV9qK/EI2+YoxWIy01PuxqqMWuZbUYd9EADBrL3yNth/ojHuxabtWifAZTr3GaMppzzfcC1JG9t3c4JrRjWS0wlFB32IOaA+2TlCHp1voAdle3oYn0M9Kr9wMrfIcw8ZKBiDrOLZbJ6TFcz3sPhdrFP2IIaqQgdkpuDBfjkSlGKWfQywIqdrcgf1w6N49j9cYI+iXUHbJaCqoM6+cukVBYkgxfkoA9m30QBKB3Qhwayz1aXzsi+9FEIYwQE7TLZFR4iedNYw9le6vVOU+WCPWH2iBCau/PgFGo7dU3FmdcrlhFqg+44WnWy0BE8EJGbPt3BKCtLoCgL4ToOH0qb6n1Y//aBhABnqhYhCQZbb4g2ur9WOo5gNSsOETHujCwKPwymLsxgMNbm7ArStLqqKXWh/3r6hEVLUIK6nWS2jcOkAFvWxB7pBYkZsUirV88qg+0wW+4aTBAMg7JPvQXYhDd7h3qByFOPc8CgsH6SO0mfkkRWExLOSJk1OxvQVZ+AmITokAyIeSX2v0GIvP0IyIc2d7MLJ3WyH5UUhBFYiJzpXeL4ZZPQVR2LPRUdJrx/+lPf8KmTZtQWFiIM888EwAwc+ZMfPnllzjvvPMcxn8SMHRyOsp3ma+0JPZfO7d3iTIEkqCsIvMHQ8nZWdhfWcWEJfaKRt1hzgEjNgH2k6EyWGPjRGz/qhJBPzFeunL7QTZxAs+RjbBf8uCA7MOkqCT0ElztGjchNt6FAblJwD6dke6T/aiTg6hDEH1FVttV54F1C8qRlB6D3nmRHx6yfx3rUxEgqV3kIK18IkIQIUKGiAHDdM/+6DgX+hYmonq/WzP3CyBGqzBbKyrlAI7KfoxyJWr10loXgG8AUHvQai3Q25XYRwAVu1qx4t3DmH5D3nFtQ8ouSsH6z6rbzbP6JCy2lxoAIwZtkFpBRFgvteEcsZcmoG1bXIX+Q5MRl3TsV+yawTOpA8AWo2VFlnFoYz08MYSYZEL6gATEe10wrg7slBThobcQjb6C2n9YzdO49Y5vL1DiT/5+f64/w4ZPK1C2obFdhJUYiVyAjIKSFMTEKwylqcqn9TIBwBbZgyo5iCJXfHt85V1DuQ9ZBUkgUtaqD6xv5ByB3O4Xc8iD+sMeQAB2LavFkRQvBnAEgFBAxuGtTSCZVRrUPmxk+gDQXGWwcoUktB1oQ0O5Fy2p7DLbAVmJ1yCGMNaVgG2yFxVyAMWuBGSJMVq9av1F9qBGDliYvlr+Q5saUXuwDdkje+HgxkbsaVQEdHmDG9GDPRg1m++X4GsNYveKOpRtaEDAz7bxFskNgoB4+DDEZfUxEQRg4PDkbn1uSEfo9OZbl8uFwsJCAOze5cTERMjd+WzQ7xD65CWieHYf5cEw96jNEZ8SjbS+sYhPEBVHIRDXwzkqWkDJ2b3RXOnG0e1NqNzdgoZyDwiEpLQYxMSL4PFjdVBmDoxFdLSg5GvDU1yQ4IKMkD+EQ5sacWQ76yC2SmrDN6EWtJqPmm2fVtWJYrekCCFi+5p+yBtE9e4mw1Y4IGC7CYmto93fhj/y1IymSn2bE0jG0lAzvgk1gSAZGIHCDKIgIdrE00aU9m6vH9IcEXlLEyq2Sm40Ugh7ZVbwaq0PMBO6l2QclH2GE/v4zkjVB9yoPxLe218KyWiu9qGl1gd3YwBNVV743bqGExUjYsJFfdtzMTvRablB83jnaFwCgKBXwqbPIjP9AoTmGh/Wzz+CI9uaUL2vFS21Vme4qGh7gcZIqywR/J4QGiu82L+uAaJL4B5uGdQEOl3zFAzPep/jt2FsgoCBw6zbOtsa/Sjb0GigTe/PIgiCAOxf2wB3UwDbv6rCka2NjNhR1W7m3iGxbelu0q0ChzY3KncRqJQTgUxtRaQLsW0NfpTvtDptNlR4LVY5ojC7g8wgIOSXcHATf/1FvbRHtQ7ul/2WtAUAtbIfCDNelOW8IHYtq4GvLailEQrIqNjVgi+e342dS6uxZ0Utqve1wt0YgKcpgEV/24d9q+oQ8svtaVvTD3DCBEFZDhl15sk/M6Qr0WmNv7W1FZWVlejXj5Wktm7ditbWMFeiOugy+D0hREfJyC1KgFTpQVSjwqALxvRCKCkOtaGgste10oOo9jV2EQTBwKgUx6YQtn9RAUEEWgPKGtr6+Ufg6hMDuSAGOaNSEbvHpWznYyAjNorQfLQNJIcgkrq1yThNkaYJqq/0iUSPp54tXyUHkOyKs0yuKoyyhcAkoesHdjgo+1EgxmnndFftawPJZHtBSNWeFuxbXYuGox4IoqLXGulQhRKfYSI00rf1i0qk9Y9H7zxlSSQzOwHTrs5WtvR51fikaTdcvzMAIcOEFBXrUtY9DQu9rRRCqxSCT5QxTNNMdI0UULa0EYBtiyowbHofbY1XlgnlO5rQUO5BwxEPmqp83LMe+g1Jxsg5/ZDSOw65o1LhihKw6r1DpvrQ//pJQrnMOpj6SNZNuQSU72yGpzmAlmof3E0BxMS70HdwClMJsiTjyLYm1DUTEqMS0BZQTj785rUDaJnUB8Xn9tfar3xXC3gTtxHG+iVS/qvc3Qwi+74jAiDI7SZ52VD1RkbKmqCjEEJyilVLlCXCircPwdj3GymERoP5GAS01vnx+dO7IAjq+RwdbOmEUlc1+1sRdHmREWJPiNwse1BrOQ2RrYvWOj+zpAAozr3GKt0iueEhCZNciRDb29JNElpJRpYQpSmBMul2ECKgpcavLENwSGDahPlltrJ0DgLY8QgCpICMhnIPFr24B8m94+D38G7w1PPVBT1WaEofEIcJF/VDSuap32lzPOg047/jjjtQXFyMq6++GkeOHMHDDz+M3bt3Y8GCBXj55ZdPBI0ODNi6sAJ7V9Vq1ny/HAKFgkjOikNBSTJ27/OCiOBuDDDazFE5gDLZz0jOcru5jtj+jZYaH6oDXmSPSsO5PytA2cZGLPumBVKIEB8jIsort5vrBe07AYp2TxAQlxwFOShBCPAYODGMVIcuKPCk+zbICJCMGO6SQHucMA5XlRTAQKH9aFzSTZZmbPuyAnu+rW2nU6VM0c30ScE0sZggCMCeb2s1xg8A/YckI290CrauYQ+iUR3MyDBbC+1MRoSMqHbG3S8/GdF+42Ss15G+S4BvDhUANBx2Y8WbZdgntCKtfwKWrduPNL9547w17ao9Lag96MbMWwqRmhUHUWBewwsZuyUvcsVYxAoKg2gm9vTBpaEWjHAlYGD78gsRYfGLexD06QKlK0pAztRMqJNv5a4WeJqCSBSiDNYW5c/+NfVISI3BkDMUravukBuiwLMwsGESERMihwgDhqWgfFerVnfq6XlKXxS0dghobWNmDub6ltFS5cb+1bUomKRrhdsXV6G5xsfU89qQdblO3aGi90/V9M3XSgUQgh4ZDd4QZDEKzaLA2OZrTOcEBImwo90Ppne7h7wgAI3lJosQsQ/Vsh8EAY0kIaN9DC4PKYreWFciegvRqJWD2GByXBUADByeAqypZ2g2w00SPCQjod13J9xSmBXhxGe2TMGAjAZDWYkIPhBiISgL9yZG70IIUS5CQq8YDC9Kx5xzB3VAS89Ap039P/jBD/D6669j8+bNaGhowHPPPYeKigp8+OGHuPbaa08EjQ4A+N0hfPH8LuxdWasv5RI09tRS7cPSf+zDzq+qsG9lrUWC3y554DGZ0+2GExHQVh+A3xNCbIILw87IRP7YNMTFCwi0BWGWyFUIUJyo4uIFxCdHMVEOyX5slTztJmDzJKZPoKrJ3JxuiAhfh1oR4DJ3Jb6uIVtLZvwqpXcs9zChqj0t2PNtLdRa1Zm7aQ2dk8Naya2Z3BWrQmu7Z7KBBolsK12d2I3by4w+BJU7myCKYJZejPECJCuOfR0gFJBRe7ANAa/aF4wijL4UoZqfAYIUkLDx06MAYPhOgbLc4McmyQMBsDB9FXu0ZQulPEamDygHF+1aWo26Q24EfRJaav3culIp3f1tDWPSFoTwDCIAwmKpBRskgxOgAIgiYcoVAxEbY+yD1v63w/CdwkzthSyAsPl/5WgoV74J+iXsXV0TkeZqLoHuS6EvEZmtDABrvmdTY1PcK/tQJQdMDFqA3x3EwQ31OLy5AZ7mAOOUKnawhNbSvoy4WeZvxczMjsfA4R0f63yw3VKkattyBzsndOqV0Wp0wDwo+znLh5w8yY9vQi3YZ1KK1Dp3gQBZhqfBh73f1mDjJ0ct47onotOMf8uWLcjJycHSpUtRX1+Puro6LFmyBHPmzDkR9Fnw4YcfYvz48Zg+fTpKS0uxffv2sPGXL1+OyZMno7S0FJMnT8ayZcuOKc2Wlhbccsstp+ScZlkiLPvXfrTVmffos9KpCikgw93gD+vJb5zuvbwBJgBt9Xp+jeUeuBute4/LTRoFyYrp0Mzkdkk+VMhB1FOInTANE3YkNbtHNh+oYjW7tlNim8bgyfyb2PatUg+BUSARQSbFPsHzkTCiiSRUGj32maWN9qAOfGBcBtOivqSglklG1d4W9B7EOiVqywuy24bxkekf773yt5VCcJMEiQh1cshgtiU0HG5DW70fCb34Tnl2DF9nWuq/cFvoCHUH21C1l7WK1HHSDngkNFV60VrnQ1ySbhXgMUUAqKIgiAhBU18XBAH1B1stzmoqPTxsltqYY3aVfPX81bre9MkRyBKh4agHCg9SvmmiIL4NmY8gJmZMBknGmlAbKuQAhHZrV0cgU//n9QfzoUNKVBkNh9qwccERrP/wMBb+ZQdaazww9xmVwdrdD6DGMefbOy8RqVlxGDIlA3nFvZA+MPyhTKrvQzMFI9L2VbSYGP0ayY1mju+QEXvadyuVyT4tX7afkmYhBICydfXYsYR1hO6J6LSpv6SkBD/60Y/wt7/97UTQExZr1qzBjTfeiHXr1mHo0KF44403cM4552Dnzp1ITrY60xw6dAgXXHAB5s+fj5kzZ2Lp0qW48MILsWXLFuTm5kac5saNG/HDH/4QBQUFJ7W8Kqr2tqClinVq8pGM3bIPKYLYAcO0M4HqX+2Q+Y5fRslW1V5UeElGtE3ORFD2twpWZilBZ2oJqdFIRgza6nxaSiGSUSkHGPqM1HInrvZY6poc/0sF2SNSkVfSC1W7m7F/dS0aj7ohiAIycpNQe7BN+0IiwiKpFUkQMS0qqV1ClhAV70I8ouFrtS5aygYNPSbOhU0fH0bv/GT0L+oFV5QIP+cbI9hJTmG+AZEQIygmZwrJ8Db60XdwEqr3t2pmDBFAvRzitsYB2YeBQjSOUhADBZZpExF2y36kCi5kCCJWhNwQAGSKUaiTQ8gTYzDMpZ/GWFPWikFjMxCbGMXc6mZXFp4Z3KhrBIlwUPajnxiFZEFU4hMZBE4lZ0ZLN9TP+g8OKgIuAPsDnvS8jZorQTGJZ+YkYNuXFdrMLmhtKIO/JMVLW09VJtIOrmqp9GDhX7ah/6g0oL3kMggbJHf7wU/2I3e/7Fd8AKQQssVUeMMwQLWeWyiEEEkQDOU0rcyYoApJ+rM5XbMHTQX5sU4KYogrDvr4aq8vw30FetvL2i4FQRCQmBaDhF7RaK3zQ7CVZYzp8igLB71eQ0Q4oCkKSgraSY62dW/M0yxEKn1j38paDD2jz3FvkT2V6LTGP23atFPC9AHgiSeewPnnn4+hQ4cCAK6//nqEQiG8/vrr3PjPPvsshg0bhpkzZwIASktLMXToUDz33HOdStPv9+PTTz/F+eeff4JKFh7l25uY5wo5gCWhVlTJAU1iBRRnITfp6+S843VUadYYFiBWI1PUVWhbrqSgzJhmW0nCN6FWLJPUtVHlWxdCcEHZ191U4baqvAYIIOSMTLEccqJM8lbt1C4lZR08BFe7Rq4uFbgQMqSjaMzF52Rh4vcHYMfiSqx6+wDqyloRCihlq9rdzAg6TaTcT2D0GxABSP4Qskelts8bVqpUk2zIH8KRLQ1Y/8EhfPH0djRXeSHL4b35jXWjYn27CV0Nczf4EfQG24+C1csncAQiAYS9kh/rJC/2Sn5skljhsYZCOCQHsEXywGuY8OpkRcM+aLDmEIC6g22K9iPZLSmYtUMjLdapdpfsw37Zj2/b17pZphFOnFWsCO4G1TSM9vY2oT0JZZOllalFQYIoAnKI3WmxQ/LhMMMwzE5eulVGXwpSwrymdvC3hbB/Za1WGhEEybrXjqEXIEgGC1O4HmOu572yT9NaeXFqDI5+/OO32LTN/aqyvU/skXxa2ZXxxufiLsgoW8uegSEIAnJG91IESCY/qd2y1rHtTxAU2lwiWdrAzrqlCjl2/hLWuGSxIgggSEFluawno9OMf+TIkaioqOC++973vnfcBIXD4sWLMWHCBO1ZFEWMGzcOixYt4sZftGgREx8AJkyYwMSPJM3Jkyejb1/7KztPNAI+3XkLALZKHsNg1gfJ6pAHXpK0eGonN65dskNKbt9/bmRuimbkigaS2u/dFl2Clo0AoJYUphokSZtQmXS1ecxqdlcFhChI2P9tFSp2NDEfNlLIYHILz/zVtWi9bDot+yUfXFDX6WS4IGH/t5XYs6wa+1YoF5zw5RJroMoIAWUpw9sSgGD2ODNMkqpMoEbxu0P49o29SOmjOMfxmL/d+nJze3saHQqbjnoYQSxcegC0tc5Gk8k8YJgAO5pqBSgC4Ip/7YPkk5j0dfO6Wv7I1mabyFwG1uJhnsh14ZLnB6EsxwiQIQjKXespmbGIjQtTMgHYs7xKK58RuyQfPOTHylAL6tqZKR9s+BaJf8ufGYqAKEHdaaPQrZRFecfq6pKls/KFyIBNe/L7CBt+WA6ivr2vy2RMxyo0hfPJMaN8e6MlLDYhCufcNgR9C5MRnxwFl2AUzuyYNiEqCogSZYjUXk+yxI2vUq4IOiy9qnBujU7oZVBEBACrDdYmo2DqawtvvevuOKZreadOnYpZs2Zh4MCBzLW827aFuULrOFFfX4/m5mYLA+7bty/Wrl3L/ebAgQO44oorLPEPHDhwzGlGCr/fD79fX49uaQlz9WgHSM6IRc0+9dasCPaqg53ORZi21sG49qo/K1AmHwpKqC1rRTAgITrGheSMWM0EK5gGDitx61OOujZuPKFMyTMyE5k62K2rwu0OT6I5vo797ZqJYHgXaAth15JKJqbUvo4tCoLtBFZPIWS2DxUBMirar4gVGY0pDAMlZU06Okaf2uwmYh62SD7kGc4oJwBtdaqHuC4UUDga2r9kDagMiZwQnZkTgOYKd/sSh9CeJ9sPoiBpOzvMaQVJp1FqX2JQrrI19yO9PymtrFuhBEtMQpAI9RRCH8GlMyGSIPskIFFE0B/GN4OU+xxMjvAatkg+tJGMjZKShth+u6Ley417MRQ0t3unV1IQ2UI0YtqX4lR3UeOSg3lJimQZgsvYl9q9O4iwtt0ZT93xYW5pY43btT9b12zbNZKEalkR6M8TU2y/M4axNPAFVxEyWqo9cGfEIDGNte5Fx7mQnBGDpqNtiqAsqMsKShnXMw6I7b0hJFjKau/bwlvoIPhIhh9BpApR2rciCLGuINpqWL8Cs8Clpui2+Fv1LBzztbwHDhzQGKiKE3ktr8ejSF6xsWzniY2N1d7xvgkX/1jSjBSPP/44Hn744eNKQ0Xe2AzsW1XLXAWqd2kjs7V28nBYGmrDUDGWM5AUNBxuw/8e24ikzDiQJLfftqav+pnXBonQvvlMQR0F0UoiegkuzTnOqrWrofa0GgeiutWKAMU03y5D+EmCl3gszR4hInwZakWS4MIZrgRUURC9hGi0UghHuUfrKlqJsQ14kw6RjO2yFzEQMNQVq7HmukOtyB+fiSOrK9hjlMMvxKJCDqKCMdFqOTHxwpvIVSZFzDMbw7zmy5q1WR8Fvlc7D8biCVCY/mGTU6jA/SvDBZFTLj3fdZIXzaT4I5jhrvdr3/FpUyxGRHw/GZ+t5snaIswC72rJAx/JaBIljNMuXgpnEtdLzVsSqaegRqv1G16pwncpnpe+0Xlws8mnYnmoTUtVAHt2hZ4H3wKhlufo5npExYro1S8BLdVeBLwSFnzbigPBVpjbltr9JPi7CYx1rbat0qtZTd4omrDWqaXtS0vToxL0PBR50VKr5m+VcgrwezreQdOd0WOu5U1IUDxBjVq0+qy+430TLv6xpBkp7r//fvz85z/XnltaWpCdnX1MaaX0iUN8ogi/284txdjB2bcekuHXzP/sOy8RNktepAq6Bm7WjwQo2qU36G/fyW7WNfSBsVTyaDsEBBD8RFgR8uKCaPUSF11FD7Sfwa2mFem6m5Eu4+99cqBTTB8AGtrzbyMJ5RTENskHQDXV6qmpOq8IskxFKk26Li3BAxlH253thrlitW1xLUdbIacmIac4DQ1HPZpjWlxC+7kHJHP1Wnvobdrxsoj+l1/XfI97VqQMJ1gYhQrj91bhoJojVPGo11m2ubfpdgt1N8GRMHcg8KBavFS6eSJjKIyPigh9f705lq99DDQwSxlyu4xqLIEKq/ButChsktxchsSj2U0S3AZHRXMcKyOzosKwtCUAcFO40yYJIKsPBQ8hv4y6sGvjhMNyADskPwpF3u4RtiwVchADhKh2xaJ9650ltr2g29zBTgmr4NF+KiVEREV3epW8W6HTjP8///mPJSwUCuHLL7/EG2+80SVE8ZCRkYHU1FRUVbFbKaqqqpCfn8/9Jj8/P2z8Y0kzUsTGxlosCceKg+tqEXAHYT6hzqxJKbBqR1tln2miMX+jY78cQD/BxWWyVucYsyBhPYCH9UXQw9dIHrQyF58Q30HLQjMfUgcTz07JjzTBhRRBvbOApaeBu+dXeV9FQQxHjIUFbTXthhC0M97IUGd6OiDg6OY6VMfI6Dc8DdmjegEEVOxsQmttAEKU3fnvLD1GxkcgNBPfo1+Jya+XKgrATbrZ2dVBzmpqRu3VnM8h024MM1pJQpkcaHcmhaEMAlOvLNjn5SEPJkclIE1g754wmmR1YQwWeswau+6b0JmJnG/WtoeVKRkpMqa7RfIZFhR4gnZ4mtyG3QLGvkdaGJ/xW0339lSaw9maCy8cdoQdknJ0737ZunWYh7WSFwAhTXAh33DWv7GNrDYCezQZfGrqSGLi62nISOt/Yq/BPtHotNhy3nnnWcIkScInn3yCyy67rEuIssNZZ52FdevWac9EhA0bNmD27Nnc+LNmzWLiA8C6deuY+J1N82RDCsnYtfho+5Nx8lDNTnymb5TQdSeqjqV9L0k4oE3gQruTj1lDtA5uviap/LY6JoFh+qqZ0M50bkfvUQow+Rmnex42SF7ojmd2TkFmTUGnz0yLREYGr7/fJvlN3xrTVa5TPbKxDk3lbtQfbkVrjRcgdRLleVob9xbztBo+wllRamR9B4g1Px1rJC8aNKdAPsNTn3dIRr8Ka5xVkgflliUL1Y8DhuUVe7oFUPtOB/4uBrPAGo7RGZkre7cA37Kkf2cO49eJ2O6MaPWv4ZdRDd8u+WAcE9ZyRmYh09NQ7upwmex5Pm3rnz3Lj1S00WObtfIAdrYzZzP8JgfZRhOj7Qw1jRZHURiejfTo/e+ASbhoJAkrQx4tvp+zvq/+a67iXZbVc9Al9orY2Fi88MILJ3SNHwDuu+8+fPbZZ9izZw8A4M0334TL5cLcuXMBADfddBNuuOEGLf6dd96JnTt34ptvvgEALFu2DDt37sTtt98ecZqnGnUHWhD0qk5QAjyk346mgEyTgP7bOEEIhniiaXuSCnbAKL/3yAEckc1ru2w+1nTYtBaG3LZx2QnOKLQYaeR/KxG1m1Vl7ZAY+/ik7cwW2jUwO+9zdfoy1pnZYqI/6/WwSwpAJjKYEAn1soQ6WeIeJ1yztxn1Zez9FhVywLRWyTOx6gxLF5hYWszOW3bQy8ifcuvkEFaHVEbbngtHu2ZpI8uWMkA5o4H9jhWK9kh+LSz8goeZIdpvk+QJA+b+sUnyY7nk1pi1Pp6sgmw4hqszWbPzq05tiKxpsmko4O1q0b8wC2BmWpW6V9OwEyBCnB3t5vLx6osHczpqWlskHw7KQc5bYHGIPXTKrS1JhsuPPxas9PDrz7il1Twm67Slx47LW7WrqcM43RkRmfpff/11bV/7pk2bcNZZZ1niNDY2dplp2w4TJ07E66+/jmuvvRbx8fEQRRELFy7UDtrx+XwIBnUmlZubi08++QT33nsvYmJitP346uE9kaQJAIcPH8aNN96oLQnMnDkTo0aNYs4DOFFgj0glrDFs5TOvL6qD1MiajUzY/JuY7/gwS8UiM8mwBtpIDHwhELONS4dxO5hxYiPtrRkCAOUKFQEV2gE25rsAzBOf/nZvO5OVIZpo0pmSasp0QUJUQgx87pApHluX1aayrTbcpHZuVGKHU8puw24EnkndnDdLh2CpLd4SD7R39gxIfc+uEyse+Us0b2s7gYSft9p3zH1FocN685sAar/ESf3CpKVrebI5CWD7o6rxmtNfLXlRJMahst2b3Ui3sSbNZvdw4C2R6VYNEVtkH/PeWgZei+mlMZuehXZHV/ulEit9ZvdNaxzjzGLdCcIKw/qoM9JrTdXc6lbhLbIZyZxWxzNP+GUM/vdGgUdt0zYKtde3wFwt3hMREePPy8tDaWkpAKCsrEz7rUIURfTu3fuEm/oB4NJLL8Wll17Kfff2229bwqZPn45Vq1Ydc5oAkJOTgyVLlnSKzq5CQi/FW1ntiF5i9zBbPeyNk09kA4LPiPnwk2p2VvInU/4dDcftkg/jXOrhM5GBzYuY8imM2W6iZC0jbHr6coMIGT7S12EJRiYKLZ2Qxw+jkcxcPgK1X+nKx+ch87G6bAr75UD7fQPqW3ttxk4X5DEO62TPCoC8dMyannpTXS1JCJC9B7fZNhLpGus3muc4Cx+pB7pYGUOArHSCiWF+ZntlvSxhPfFPrRQMdUnMs5FFd7yBUiIJLsGl+X5Uy2Y/FjVdWWsnVnsmhgo+rZGFWfM15q9+pwphrBip02Zue+vY4wl+7G+rwsKKl/z5i+1Zxpq3F5E7sgTpC02CKb41xXaWDwFAUqb1pNiehIgYf2lpqcbsU1JSMG/evBNKlAMd6dlJSEiLgadJOTRGnYB4k79xsmAdXOyhvGO9ycNJ0fUUak9WHyi6/K8PRKsgYhxg/InDuGuA/VZHY/tZ//rUoDpmmQevMQ6bhrV0ZnrZshgnfNYULBjiKM/qUky4MhiFI/U9QWBOYbSD1WJj3tfckUDF00iBau2gEz0ej3nqSyR87SkcE2KZNBtTqTc7xmZlvoCAMtlaXx2Jumb4GIHCKjSr1iKexqvq3NZvFYRIxhchD2ZFJSLW5pwIlemZD68xbyVU43Ws34avZ+M7SetBPKbOCtfqjMLvy1Y/Fh5Nxkuo+eOPfWetLV3RIU6MQ2R2CDTPf6wGb0xTCQnv8yJCn2m8dW2QQjJcUT3Tu7/TVJuZvizL2LhxIxoaGrqMKAc6BFHA6AtzIZCyB5id5FUYJy9j52YnG7M0K0C9hQ3MxGM/sfDW4s1r/vz1aWM89a/xKFXzmq9Z4lYnHYnYySHYvnXOyJzVf6KhPgAgSMatSma62HIayxtgNtzzL5tR6Tsgqw6HannCM2JreVlGxMZlJzI7bZ2vARsPbLKW+aAcsNS3Mc1aQ73xtGy7dWSWdjtmFK4N+PQESMYh00mE4fqtejiN+QAsOz2RR4ORMr0N7OtbRZVh1wWv7kROvZstAwKM6/6RC3e8d+q4XRkyOt2FX1biMX0jbQLMzrpWWoQw6diF6fMC679jHX+KP42RBtEikBjnIzBvBBD2S35Y5yH2O/WLgCeENa/tgCxFdkpld0OnGf8zzzyDIUOGYOXKlQiFQpg5cybGjRuHgQMH4n//+9+JoPG0R++CVMQl2GsWvEGmQOmUEuNQFF46N05oZucsnbXq6QnQB6HRmUi0WbMVISMaoXYhhjcIeQPPrpyE1ZIfmw0D1qzbmyeHTZIPtXIQ+03XcFpzUnUK5a+ypCcbJhOz5cJYxo4ZoTk3kalPtowCU1fmid+svdi1q/q9DNZPwyikGCdblr41kg/rDP4KdlYGVtBj25Lf79hy8tI3hqn1ulH2acfKRgLjt0YaZTL2ZbO2a/zeypz1dFgLnF2/IjKfGMBjtmwY67RqtjHo39jTyaOFV5ZjgUqrrAnZrCLAwk5Q7Vg4NgsMqtLAzk9KmMS9m6HjeY9fT0q+yhdtmjVPCW862oaKLXWc77o/Or2P/7333sPHH3+MoUOH4p133sGmTZuwbds2hEIh/N///R93u5+DY0fIL2HZXzci4AnCbNIGrFqg8T3POtDZzq/eUsYOOnZYGzV+vq7Ec+RRvzTGVHcsCKa4/ClDAAxXx0Y+ea3TTOp8DdQo1KgxmkiCjyQkGqYCYtIwfm1dODHHELSYooF+PUVB+0vcvARLLmbrgbU19PSN4YIhPkzhxrQVrTlJtNJqRTjmY0zbqgGS9swvg4p6WbKJY98LjHXGClI8IS5yocLYX6x1qWwTC8mEvXKQaWsy/OX1QdFSb7yy2PUPIy16mQVDDVutFvxxwCuvcYZRBUlrb2RN+Gb6zVC+4MVlv2OFGxn6MgVLt30LGudIuyVTvgDTQjJSBZ2Cw+uqMXBMH9ucuis6zfjj4uK0m+z+/e9/44YbbkBRUREA69G3Do4fa17bBl+zuh3GeE43D/zJoeNvBIQbnOrg0r9gB74xrhks49JDzaiiEIbDfFqX/cRjl45Rg+S9N0/4OitkSyCY8lgteZnS2sH8HY8+VlDhTTtWhmivkSjHqOr2FbW+2fVQnuClxzOGm8U6PQUB6qEmRq3eyHqMHvC6aGNm9OZ9JywT0tf6zeVXS8RO/ua4VpHU+p4VF9hwPtQ8ZUNZdboU2B2pWyGbd4Loo8doJWD9CNiUyPStXiY7yxIrjOg93MrcefODPjLM31gZrACg3rQVziz4s9+b+6V5RmF9DshSZiOdZpr0N8a+xgp8RkFRZL7vaPR+E/JhTlQ84gQlZlvt8R3tfqrQacbf0tKCtrY2VFRU4Msvv8Ty5cu1dz5fZDdTOYgMzeVtaKlUr6nl6ZBWhm3UFK2DL7weakyXZzJkp3RjmuGZvv2kqr93EyFI5qUFayl0Tcl+UrJOKPxysTTYPwPmGtZpUb/gaeA8mGMIFhrtJh078UkJs147q7eYaKknI4M2f8M7GEdnPC2c+xD0VjKnSQwdMIQbaTTTwNYF/1tRY8IsA2Tbwt6MbNYizSyb9SzX3+pbEvW8eUyHfbK2MT8mK1DA8o6NwwqRPNFAfxfOlK3SwYsRXmnQa2plyGd6I2tU8URAwNzW7Fv2ICu+IGhMJRyFVhj7n3oTYuTwQEYc2k+O7JlL/J1n/Ndddx369++vre9PmDAB27dvx2OPPXbMZ9E74KNqRz30wSljk8TeOGfWUPVno1bLsjKeFmVmdmQZYKw0zjI5At9aYP/EUq+nfZDZi6+EGgUZ9Tuj171aQtFSFlYj49POm4issJs8eFqkDqOXut1krr41WlTsPeY7Cza/jqwH7GTK0wDD6cTWcL1fmGuGJwwa28U+HyVNmWBI19o/ld9GGwiYODxBhK8fWgUTMFSy5eHpjbpgIGthdsZ9vjALJi47os2WBz4LY3PU+6pZ+FFyNy7rqe9UJm71xgeAvdoBPWydmMsSTmFga58nFOh/ja3Nn3v45nueMKfMG+F6djgIkEMy5JAMsYd593ea8d91110444wzUF5erq3nR0VF4eyzz8bUqVO7nMDTGVKA3V9/VGafWXOcNdw8QRknHz70idqYmplJ6xYFfQLhCSF85k/Y1X6hjnlw+jmTqdlpiseQWPO9PYvka1HGSagjAUZPnRWgrEZU68SnaqVmXYWnqXcedhYH/qTPAxvLqr3b10UkgopVw7ZO3/z+x1JuZh4sK+PXqZkuowhgZoF8U7L1WbDkamU+Vo1aZ9J6PfNGWzgd29xORlrs47PgMX2BW3fGOcZqJtfpt1uWsmsv3nhT64XXz6y9105AMgvjbBpG2q11qSyb8S13emiVHEK6S9TSD7iDiEvtWcvcnWb8ADBhwgRMmDBBex46dKi27u+g65CYqV8EYTch6dOOUZJnWaSZERs1aPMkbGbgVk1Jn5jtNEcjfSyUnFrbD2UxM8dD7WuhZuqtDNUuR56Gy9OCWK3HqEWR6VtzfH7ZjLqeOZ55PZr320yztQwsHeZyqLH466FWZmJl2GZNTjT8Zk9CNKbN1ovZcc7aTuY+yas1tlx8JmJlsh2Z0821zl9i6fhAHn552HqwS8E8Du36smigw6jJ8/s9K4CEKwO/jo1lUGlU172tNc7rkexYi1xstc439vHCvTeW3fiNWhdme6Z9Wvp2V2MJzflXk4SR2lVKIlyxLvQ09Cz7xGmG/qN7ax2YZSJ8qVz5bYV5HdIqRJjXAK156GnbsV12AmGhDj+z1gDmG2PZzPTama35tFh1MN6koKdkXSvVaSDmL6/+2bxlS3y93jozKRq1HwLbhmSi01o35jAB7ASm08brT+Z02fYJt2ZsTsda72wZzXXP1l/4fs2mE04QtWrVdt/ZtbF9mVXY0dpRm6t5sZcwGevOrg6t2jFf4GS/sfYFMO86Hsu8elDvwDDCOl9Y+4+1jJGPETYfHqVsH7eWz5iGuU70vsmOEz0tdatldNwx6c+nFA7j78aIjo9Cem4S+NqEmUGya86RaOXq92aGy04oxgHZ0YTPY+o6HXyhhNXs+EyHnYgV+vgX8pjzUJkJzxrAExAQJsycvpkZmCdlnibI+04P03/z6FHLzWMO5onK2CYsXeFOJ7MKE0bhwygE2dFnFXDM7cjC3GdZoYRHox5mFsysZWInaitz4QuTyqRuZBjhLn/S8+ExTbt+xPZB/ewHtp7MXgNmJ0R7ZmnsQwRr3ZtpZa1SvFHMH/9qO1l3hxjfW0347LhR7+hg87IrG0uTNT09TI9n7cN2afP6vV2uihMiyZ0XVk41HMbfzdF0pAXhOyxPkuUNUvMgsZug+N/ymCFgHsw8qZ8/AZrT5sWx12yUZ/aQIH1qNGoRxkmHZSjqN3bWDuWf8bAb/TuzSdOO+ZiZPsuw7NuEjW+kS4R5EjNbA8IxTbPVwE7D5U/udu2kl8u699yoMVm10/BrujxBw9x2qnOWvSZnDtdpNcczh+sCgBouWOLz8zHnYXy2jgf+b6uFpyPhJVya9kKZVSC3G6tKOnaCrDFN8zd29cKmEZ7JG2EVJvlCkPrOuDzJp9McFm7e8pp2tjQebI6Q7u6DLmX89fX1XZncaY+AOwjIisahHz9rnEytp1fxpGto3xrj8SY/40SgDnAzU7Gma5ykWUbCH8h8gcROGAk/abPHmJppCAdzPbFl5TOccEwjvPZgTcMaz0gHm741XyPtxITx45jT4zEYwfQcCQ28MrD1wT9cxfytvWBopEv1wGYFNmv/5IVb75233skQvs+wAgyfidvRz44tFfw8+e1D3HRYWsyCrFW4NPaZcMJ4R2PQfmzzhUm+MKqXxRhqFFSMfVow0WTtU2we5tYJJwyFt2TyoabXWtUWNl53RJcy/iuuuKIrkzvt0XCgEYB5EKiwl/55A8woOMDyHu3fsWna3QkemcTOn5h1GmXod4brmrtVkzYzFOuxrkbNzFo2PlO1MnarSTIcI2TBEwTADbNOPuwkrv+TTTTaT0L2Glo4usz1HC6tcHnzlw7stUwBVtNuR9DrwGjdstMSeW3L0mSkixUYzeXoSKDjrWvzBC6rEMKjxxpXj8cK/UZa2H5jps9ekOTlxdOizeVhx0i4vmHXNspf0fRspoc/b+g0Ecz9gCcYdMy8zVbBjr4xf9+Jk6O7DTrN+Ddt2oQzzzwTaWlpcLlczL+lS5eeCBpPW8gSy6iNjNmeuVg1EfWvHSNX02e/MedjHnjWARepFmQ1Tevp63nwJyz9THC7dMMzffuJhc+o+BOSHTPomEnzv2Np4E/89t+EY07hmBirPdpppCoF1jyt5nvzt+GWIfT0wwl7au6scNSRoGLtQ3aMmNdndMYRTi/mCZC8v6r2yWO2VuHFbtmJJ5Cy5eH3OatgYa5zXl8yH9LF+6sKp3zB2lrvvHmCfba2kf7eevY+X2jWf/PnJR6s8yavX9rDuPuqp6DT7ohz587F7Nmz8fOf/xzJyckQhPZqI3Ku6+1ixCZFQ+2MIqlDsiMp2/iXL3GzB3jy98Ybn/Q4+oBQDXTmwarGY1lF+MkX7fQY48LyZJ441dqIZHCy6/NWZsjf8mdkDiqFem3p+ZuZpV4H5tq1o9fIYIwajXHZxZwKnynx2tOYrjkOXxCyMkJzq5jLbD6i1/yNlS7+5MrSYDxhMFyf559+yO9JxjfmNrZj89Y2tAqrakxr2saeymO41m/19+EEaL1t2HGpl9DYl/S8jf/zy2hXE+b8rPHZfmv+Tv+tgj9CeIKYmUZ+zahlVA+eNtNChtrgl1Nv28jYPtArJyXCmN0HnWb8ycnJeOqpp7jvnnnmmeMmyIGOuNRYiABkkgGBd1SuAutgCQ++hm0/EMAJDadhsEyloxPfzJMRv2wss2dpY5/VCSiy+uDVHS8vswXETrAyv7OvN1aftB6QYseI2Tz0ltPrTgArMrA75jtiKHbWFN6EztLC/22OZ/2t5msXV39vT7UAc99hhUmrZh7+oFajQMDmbt8WenyzoCZb8rOvR/v39nF5QrCVwcJUH7oCwBPgrWPOLCwaBQ2eIMM+k02NW4V+4xgx1wkx39nDLHSyJQEAuyOBefOqXU5KutHx5jtGuj86beofPXo06ur4VxFu2LDhuAlyoCPoCUIgGS4QrFvSAJ1R8jUJ44THc/ixN4uD894cj8D7hpeeWfq3y8+qdRjpsNdC7Oni5yGALZuVwfLosMvHzLDs8mR9CPj+FMY8IxVcdCartzVLh2ipS146xrzt8jLSFq7vmJ9ZLZuXHrt9ztjm5uWCcO0tmN5BS099G87EbW+2Npfdmge/zezaMVx8a9xwQqa1fEZ6dRjpNwuvPCHLvAxk7lM8Ouz7RrgxAU58M93Wb9jxa50r2L96WnZ+C9b8OxKQFYiQIUs978D+Y9L4J02ahFmzZqFfv35wufRTi1577TXcddddXUnfaY3WSsVblJXJreY2MoSZ5X7eJEimdMyStHGiNuetgtXsjSmaJ1f7yZhn0mNTMp84aCyzVccx52TWatRQgSmtuUx8pm+2M1jtDjxtgS0Xz6xtJ84Y8yVTfOP3bP7mlPkMkG1zXvuAqTFzjjzNi61fveWU3+aJkdX+jIzIvu8a87KWiVcqOzZlbBtzyez6A9ve1j7C9kl7Bm59YycYCJan8KIgOx/wRomxpQVLDeh5mvulkflb+5reziyt5rrVx6JdXzPna14ECP+erQNz3nawzjnGdHkjRPlChKQ9+Zp8SMhI6CCn7oVOM/6XX34ZJSUl2Lt3L/bu3cu8a2pq6iq6HAAItPkNEqo9E7BK+eHNYHxzpBHWg0LsGbD9JKCHmQUAfYLR6TWH8eiylpXHPHkMRH9vvASHN1GEZ8V6HDZ9NtwoNPHLAdtwnpMTn+HbxecxGbvJMJxVxyoSWLVFc5q8/sDPh8/GjOna9wV7506WYdmzSl2wFCJIlx9mTt06DsPlbYTuc8P3EWD7VUdpKeEqOwvnNGesBzZ9+/7a0Zo8+31kgo75O+M8wgqxvHFuJxSFE6jDPfO/Y60TxnlC9XPrSeg04582bRo+/vhj7rtrrrnmuAlyoEMOGG6rIytjtDJYo95iZcBWHctOCLDqtAL3G1aCZ6V5M/PgadJm8DQVPV/2Bj51ylG3h/GnGlZv0sN0jZTH6O2YP3HfC9Dr3AyBE9+anv6bf+2MWTCytg/vmd8/zMxYTd+qu6qTvMjE6EgoUv8a07azKtn1YbOgyMYULPH138Zz7juuJ/tJ3iqwGOuF1XzN6+f81Nk2sfYXXn80jiHzLfZsPGPK+niwX1fn1wNPTLWqGnqPMcc2zgfW/mrfbvxxahWorXXM9je+gmGGdV6069vG3s+2lgsSpPYNibEpPeuCHuAY1vjtmD4AvP3228dFjAMWokufcs3bk6y/9TBjfPN2IfZbc1rmuMZBqb9nJwm7tK1CisCECUw4L73w4Xp+RvrYfIx1wKbJps1+z5bDTmCxrzORydeujYyTmrW+1Gerb4b+LBjihaeXX4fs98a6YSd5+7LDFKb/1dPitxvbn3nlMoYZJ3PWX8KufOH7qTkecX+z9cWWV+9n1nA2H16bWMerldma2zfSMpmPF7bWczga+WNdL6eV0fLKyOs34cYS770ebh7Px5ansUy8fMw06fXJ+t/ocLWfRRLyBm3S6744ptsFDh06hD/96U/Ytm0bBEHAyJEjcffddyM3N7er6TutEZUYbSOz6oOQvwLPl3WFMHEIvInZnBefOenhdgPK+g0vrpk+PYxvztbT4tHFXq9pVx/gpG+V+5USsrRYayPcNjkyvOczXD0NvXT2eqv6y678Rr8PtqxsCuEmWyOMbWOcYHULjPGJT5Ndm6nl47U9mw8/zXC0WsP59WIWiuzbkbV9sLRbxwpLhzFv3mq31a5iZrxmmvSS6N+bYe5LbKj92NbjsXUf7g5AsimjsY7M7c77bdeuPPrYOY1grXserXZCXXg/fiMthPazUaJ63sn3naZ4yZIlGDZsGJYvX47MzExkZGRg2bJlGD58uHOATxdDMkiSZi2Hp7EatTgjzNodL17HUrCdhyxP84r0maWRpU893YynoXQMO42Ml0Y4oUD/bdaI+FOsVQMk018+DXY0kqXNjXUSeX0izDPvO/s0zSfVWU9dDKcF8xmt3o/sBTl+P+O3nbnOZNOzbjXgp88fI+z31vLwrDcC8886Xlhrg32Z1DjWZ31esPuOX5dGyyC/j/DpMbeVWUHQ0+P1fTYf4ymcvLmFzdMKa15GegVYywITLR2No3BQv5d8oWP6/lSi0xr/r371KyxYsABz5sxhwr/44gvcd999WLlyZZcRd7qj5VAT9ElLl4dVOZrH/NWYfH3aGJ8na8MSx6z92MvDkZjP+Pnp6ZrD2F9GqtlYdvSb64ZfM2yYYApXvtEXXezSM6/96q3G07J4sFoMBFOdh6Pd7r3xnV0cvT9Z9TE2vghjGc008NCZSdWsR9u9M6fLKxfbLmZtOpwmHq4/6LXD1peVUdmVw0qffZhd21q1dWP5rOmq9PH8Pnj0muk292c7OjvqE2z9Wse9/p4dS3pca+80zxK8tuO1q71Swo5cezFMhb/Vj7i0nnV6X6c1fiKyMH0AOPvss0E98dDibgxBNEqk9h7HnZP22TSh/dY1ARjiGCcVFlYtw5wuT4vQvyUtrt3BMHbaE5uXMU++ZmDWqqzlt+ZpLDOrLURGK69+dXrMcax1ptNoFXX4Woq1zmGJaycOmtdy+dogrz3t2593KY45Lo9uMtCk143AiWtfF0aE14at7WnfvpHQbx/O+p+w9RdeGDULFR2Nef17c/2xdPHLbfWxYNuDLVO4tOzSh+Wdtd7s07F+Z+475nlGML3jWXesfzu2qqmISYrpME53Q6cZv9vt5h7gU1NTA4/H0yVEOVCQNiQTAtTLLMyD0AqWMdo5f7Fxw6Wnf2t+NjMS3kDiTwrWyYCl046526XBS99OUODRKHAu/WHryv6aYXvHtciYpJUBsOAxYfa9laGwaRsFOvv87CfhcHRZy2LOCzZ/7Sbqjhiu9T2/fOZJ3kyr8Rv7crDjxm4pjNdHrUw9HPOQwZre7dqUZ1630i1y6tRc33bfmsvA+2sXz5hWuLBIxmtHedrPf3b2Dj7M9WvOo8N0iAABiE/vWXv4gWM8q3/cuHH4wQ9+gMLCQgDA3r178frrr+POO+/scgJPZ0THucDXzI0QDO8FJh4byxymx7UyY8HwjXUbkfk2ej5DFZhvjLHMA93+uGHesGPpsC8fwNaN8VnQnow0m2OwloiOJhvrW+vWLIET32yG5B1tY4xnpdlaRiOMcdj64B2JYqXNGKLWu7m22HxZJ0Z+H9Dr09wmej2x/cPY5sZ3duBbRMzgbV3Vy8MKHdalAGs/5KXD1oPxvbEG7PuRtQ3D/eaVzdj3eG3OHrurH+NrP59ENu/Y0ReuzmETbpcGr+zWscYTmKzlMPd3s4BlfC+BIEDsgXv4gWNg/HfffTeSk5Px2GOP4fDhwwCAnJwc/OY3v8GPfvSjLifwdIanxg2rJBpuwmPj8k8d03+x4cap3PzbPLDNk7IR7HUt5jTZmNYysWUjU878icE6FbPv9TzU0tjTxtM4rJ7cxgnSnLY5Vwrz27xTIJwQxKZhNwXyhT42bWNcu99sPD0ns5AYji49zHpAjJ4+T3jhtaBueuXRZFdvdqKf3be8OmDBo5Nf56zww6tbs2Bhfm9Ni905YR2zbLmstJnbgl9ePiNk65HdTcArO6+/h6uzjtOxE+asdWqtJ55gZB0TvL/KL7bvu0gGCQKEGBd6Io5pO9+Pf/xj/PjHP0ZbWxuICMnJyV1NlwMAwTY/jINY73hGrdvq8AImHpjQjmRz/TefMZlzCieEWG+n4+szZkZrJ0Mb1+rN04iVfjOl9nnY6Q32dOq5G9sEltruCHzmYp18+CKFlS62HLwy8evYjiEby8NSxMvLrgzhaWZLaKabFVrs69fcDlbhgKUmnCAdrv3s3tnXtZF5smwsXLt3lC+v3sP3o0iWTOzTCpdnOJrZdrUTpvR0zXkY280un3CiMk+w7WhMGP+GXeIhguDveXv4gWNY4zciKSmJYfo//vGPj5sgBzriMxIhKj2MYXpsx9Rhv42KTP/M4cbvzZK/1THIDAHGQcKXyq2DyEyP3bcqDVaNRqfZDON3Zrr5+diXkUzl4jsuwSaMr63Yv1PptW6NC5eO+pvfT6zfs+URmfzMdLBpWPubnq81LjG/9X5iTs/Occ5YLiPtennCTczmuuSnb6TPri+Gy8vqUMamwWsjc1w2LWN+dkyKfba2i93WSl6+VvrDjVNeH7Wma6XL2D/5fTncXMbvz8a+x+u/ML23q0/eGAsnTug0kkwI+Xoe849I4//oo4+Qnp6OGTNm4Oabb7aN9/nnn3cZYQ6AlOxeKAdFvIVK19SMz9bf6jOblmB6NsY1Xq9hnniNeVi1UsESt6OJiF8uaN+ydBglevM3bDhfIOmILrZEvDx46eoUW+vMPPWY3/EnQ7Yd7eurI3qtLcSjxb5eeemGD+eZXHltHH6Rw1wuXl9ke2Bn6A5HB5nC+e0UPp9wz+Y+xo4Z3lJa5GWzEwJ539j1y86GGXsq+95eEBVMv1m6ydIGenq8trLvY/ocYk93+LnInKIAQtO+OmSO7NdB3O6FiDT+3/3ud3jppZcAAP/73/9ARNx/DroWvQozLZqtWTOyalH8OCx06deoGfHi8yYMvkkMME4wfI3Rnu6OnvUwaz3Y0Rqubvhps5aL8PXI14Jg+Msvi1mr42nAfJi3T9nTZ+e9bc7TOinz2sCavn0f6Kgf2m8B46cdjgZrHOvkHW6M8NJi6eYLTuadC+FojaR++MyLnzav/sxljKwteaZ//u6PSMaVMR3eXBAuPttf7ctnzYPXZh3nzRtHHfUNewho2FEZcezugog0/vXr12u/zz77bLz66qvceHPnzu0aqhwAAKRACHYScySTJu8dT+cMF1//bWdK65iGjui2nxDCgzdxdFQvkdDTmfiRpNVR+pGkEwmd5rBI6OlsXZjT5/WnY23vSOvSrnzm73mqSKR9rfN9MPI8OtNnOh6XHSOS/mu3ZNJRPh21ZWfqIlw+nckzXFodzY+dpQUApKAUYczug06v8T/yyCOWsEAggBdffBF//vOfu4QoBwo81a3Q9/gei0XF3mweSdzIvjv16PxkEV6z7sp8O/PNsUx6nYfezubBb2UQkZjGI8exlc9+WaFj4bcjk3tnaDlei+aJsohGnm648hxPv+qMoBou7xM7x3R2zEderwm9e55ze6cZ/0033WQJEwQBra2tuOKKK7qEKAcKBEEASDUp6+tcMPzjO8wBRpOyYHpvPDBEy4v5S0x849KA+dlemwjnkGUsB48G3nobYG+eZJ13+M5NbD0aw8y0CKbfgqUOrPnr3xETbq+N8PMQTOVhvzGWQ382ty8b15yvMZ5d3+B/y6ZhbXt+XVHY+rTWn5kevuWJLa8xnrn/62G8vs32uUjy1+MK2rO17e3GibF+zfWsp8MDzwRudQY0xlV/G9tcYNJg+5m1P7F58+rH+lunwzqnsGPUnJdxDNjlaW1/mN7z0zbmwZr67ebXjq0g6nfpw7M6iNf90CXXCkVHR+MXv/gF3G53VyTnoB2J/VI4kwtMg1fvzMZ45kHHW5dkmabyzDJPM/ie2cbByg46K03sRGWmgR10VmYCwERvOA2RNwGxk575nR0Tt37HZxzW+jfXjTmPcJOLkSZzvdkJGdbyWQUJc/tZ29pcFmtb8NvOrq7sBT0zc9brxdrHeEzdWhZz/zcyA35ftPYTnkBkFtasdJnT5gkNxrISrPWql8Pcb8z58QUG/jwQTjhky2JuV56g0tFYZvPhC1DWfO3Hqp2QYO7f1rq2lsH4vbUe+MIVH2q4BMHFEzG6NyJa43/mmWfwzDPPAACqqqqQn59vidPc3Izx48d3LXWnOWTJfN4528EEwLZbdgTet3wJ2Rpf/80OHGs6xHlrnfw7ooEfbmX69sNPp7Mz9dVRenbfHGubhAc/VT6NnYmrvwtPt1W7Oh6E7zPh43emzJ1FZFpeZ2HVXjtqC+NvtW06rgNenvZ5HMtYCDfmeONeMFHeORbJr6/wbXRs/SD8vMO/TUSEBAFAyO0/pjxPJSJi/DNnzkSvXr1ARHjiiSdw3333Me9FUUTv3r1x1llnnRAiT1e0Hqo3dTcj61WejQf5GMONooL5Rj3zYDTHi2xSUNMgw/8swgkLxnJY8zOmLTDPVrr092q5+GnBQCvAlt9Yj+ZvzDBORoIhtv0ZYAII5pbipx9ZvjCVggz1aI4ZLpyXs7nueGcL8vqZdZI261i8uDpzIBhPfOTF02tQMMRh+xV7U7xd39d7Aa/P8vqQsX2NaRvLZe5b5vR1qsznRhrrwjyeBEtc+/FpHNdm2nity+vzbA2z9WBf1zr9einMNaF+aWxzlQowb/lzCXsWnzFPXm0Ye4w1Pb0eze3EOxpMYOhVECXod3gEW76jjL+4uBjFxcUAgNjYWFxzzTUnlCgHChTG3z4kBL2rsh3dbMYzDj3jMLKyXYCd4ozxeJOLPtSt7CC8ScxuOPOmDZVOq3lOj2dNg7+n2xhmN8mz6ZgnITChdhOIkZWz0xOPjet1ZzeF86dtPcxcJ+GEAmve5nh8+sz9gc/krayVLQN7jj1LvTFN629rWsY2sfZbltnA9NtII08gZSd247dWUdF8Ap05bXP9sHH4a8/WerSato3pmcthzk8wPYfrZ1a6zfVsFq6tdcDLg9/3zbcSWPuJUUhg2zl8GXh5selZ35nTMc9rbHp8RCfH2tLQXdHpNf4LL7wQW7ZswdGjR7WwXbt2oaGhoUsJcwB4q5sBU+ftGOEHCjuxhE9TMPzTv9HzsBsI1jSOhXb7d3b5hM+TOnjPTt78CS3yice6Ls+bFCOZjK1lCw+r7wL/W3umb58Pv90jocmOPh6TPFaEo8Ncdr0PWNeX2d/hxpD6HE7o1b/pqE93pp3N7RTJWLRLx/5bc7+PfHzyhRa7b63f876L5JtwsM5n/HQiGSf6a0JS9v+39+ZxVhTn3vi3qs8yG8ywDIzs+77DDNvIDAiiIu5GoihqbjQ3ids1mvW65c1rcn2N/sxiEnNvNInGqHFJ1Ks3qBGXq4AGBQQFQUWUHWaY9Sz9/P7o09219TlnYJAZ6O/nA3O6q+qpp56qep6n1u7eJj46Atps+G+55RacdtppeP75571369evx/Tp0/Haa6+1K3MmPPHEE5g2bRpOPPFE1NTUYP369Vnjv/rqq5gxYwZqamowY8YMvPLKK4dE89e//jWmTJmC2bNnY9GiRdi+fXu7lSkIjHG/sSrtL7/OE2xYVG/YpZldgcgKINh4ifEpRxwT/aBnc/z8lJ7KezZjnk/euePlNhC50uY2Ojod1fHL7ki4aXLxZlKGansxK1R3n0pbR2vm/LIjv30f+gY0Ey/B7UOXY64+kO1ZpWVGtnKZNqrlM/pW4+XjbAeXuS1GOLuzl68TE+xc5C/z/By8gLJlLq2z06ksXHZMtPkjPf/4xz+wZs0a9OzZ03t37rnnYvr06bj44ovx0ksvtSuDIlauXIlLLrkEq1evxsiRI/H73/8eCxcuxIYNG4wfCvr444+xaNEiPPXUU6itrcXLL7/szVgMHDgwb5qPP/44br75Zrz77rvo1asXbrvtNpx++ul46623wHm7HIwwIt61INP4bIjTbQ6Cp5RJCIeXioTwYOOvQl41FanLU2P+bzee2n39VUN5yk3m22SA1DLqZfYXNeSJZHWVz+S4yBSDljLUfOUVXVkC6pKMHx8CN8Gyl8unl9acxuyM6Q4EM4RnpysbOpNEfLqm5QuC2DZMtWcqq7kMTEuj1rvcFkXOTP1HLoc+3S7+H+TkqG1F3K+gcivSlvPy+5paLlUqTEkhU1ThS19dTfdbu1yPTOJNji/mqS9XBfVt084KP2dmSAtD2X0+/PSqwddbldwuTKnMcpBLYKbppGnd3YhYSSE6E9pstYqLiyWj76Jfv35Ip4/sDUY/+clPcNppp2HkyJEAgKVLlyKVSuGBBx4wxr/nnnswatQo1NbWAgBqamowcuRI/OxnP2sTzR/96EdYtmwZevXqBQC45pprsG7dOjz77LNHopgeugwphz8qUY/+ONBH6erRFn00l8/owqeb7SiOzkN2D1oeKeYzOlPp689yJ4Twnkl/TTB7+UGOkFpO/Vk9diWG63xmK6+ZV3GEGsxbNpiOLGWPb+JDLY/4HDxyClqj1Z2T3Dxmc1hMaRhI4rMtsmdZ2pDe7t08TKPOIMfTj6P2ZZ22mo+ZF7E9mvcHmHnI9T67U5m7b+u6yqch9ydzG2AGOap5iPRV+DpB7k9BfU6UpUiTke3J1yqKGVN3ZLTZ8NfX12Pz5s3a+w8//BD19fXtwlQQXnjhBVRWVnrPnHNMnToVy5cvN8Zfvny5FB8AKisrpfi5aO7fvx9vv/22FKe0tBQjRowIzLe9kGpsARBkjMwG4OgjN1/5GJxstE0KJ590+cUzj4Z1GjZ05M9Trj0IwQg2/G1Lc+TaT371KyrSIF4Oj0ezcgumeejtMhiHQzPftPk6cT6OvO7I3nfUd23lJ1dfOZTy5W6DTPtHAAMKe3W+m/vaPNV//fXXY8qUKTj77LMxbNgwAMDmzZvx1FNP4ec//3m7M+hi7969qKurQ0VFhfS+oqICq1atMqbZsmWLdptgRUUFtmzZkjdNN64pjhtmQmtrK1pb/WMeh+IUNX2yDww25Kljd9rOeZabpXwISJ7Y89/LjVmeEpffiBOSJP0vpnV/uaAsOflcyTSZlsrlWJ4U9acbIfANjxM1NxjyVHkRFwT8N35Z3PzcNz43fg2Ih9FELiCkk+UdREuVCKTy+emYMZ2Yh8hF8C5sMVRNLdePWgvqaEmf4hYhlpyUJ1lier3qsVS5yHWry1IsLSTKqnTkqXa5jGqr1vul3K6hxBNzJeGNT8M0tZ8N5pMhptao1qEvI1lPyMsNIk2ztgnSGWKucrnldmzqJRCoy7LyOTXpEBjLp9dPLhm45RW5MrkYDJGCiHPDaidDmw3/xRdfjN69e+P//t//i2eeeQYAMG7cODz66KNYsGBBuzPooqmpCYBznFBEPB73wkxpssXPh+ah5AsAt99+O2699dasZcoFFuNS81ONkvtOh7ouq7+X8pHCXEVnHl2bNtHoU44mlUfSX9PUt8xfME3V4OjP2WkF09bpmAyZSFeVp6xmzEokqP5kpanXoRxXlbG6vKPzZYK+hm+SgS7vbO3InJ9a78FHQdXyBNPS85XD5HcqDZ3foCN0ahqZD+eXvmQRLC+5LTPlbe7+baYlt3emvAviSXXcg48b6rTktXG1nej1GNS//HKoxtvU70XaUOKZyyf/1V1zUztRHUBTuA0kc7lmHRNtNvyA84W+k08+ub15yYqioiIAkEbR7rMbZkqTLX4+NLPFKS4uDuT3u9/9Lv7t3/7Ne66vr0f//v0D45vQZXBv7H/7I4iN1e9MqloKboDZRw6H13C/CF+XSapARbY1fLXsuRyAbGlN6c1husHKzmM2Ho40go1rR8Kht1HZuKk026/UudpgPnGD9pYcGrK39Vxh+cw2uPHaG0e6LQbL3wwOgjo3wWE7MkrZSNQ3I9b1GN/cBwCNjY343e9+h7vuuguAc2Ru//797cqYih49eqC0tBQ7duyQ3gddIQwAQ4YMyRo/H5ru37bkCzgzAl27dpX+tRWFvUoyv8QNeuK0le/lihuQgkZIYhoRTAozKwx1Uw2DqqhyKRrdq1ZpMOmfyos+mgje5EiQZZb9PTOWUU4jxw+K69eDusFS/5tLdj6vQSOXXMZGbRNqPWef6dA3dWZTmCLtXCO8/OQSzJveVtX0plkVte2K/AaNmlV+dbibbVlA2eWRZ1BZxL/ZnDHzyFTm1zy7AYHHtkOWtzraDm6bcn66vpDrTez/5jR+HsH6J+iv2m+z9z+VF78/qZunAbs1ic6GNhv+9evXY8iQIbjmmmtw7733AgDeeecdzJgxA//85z/bnUER8+bNw+rVq71nIsLbb7+N+fPnG+OfdNJJUnwAWL16tRQ/F81u3bph8uTJUpz6+np88MEHgfm2FxwTT+DMZBRNBkjveKJRE5WSrLB0+mIDD5rCg0RPpW2mY+p88rPeUeVOKCswVZnpBkvlQefTp6MaTNLylfMW+TQrKb3sunMTZKTVGQOZF1PZTApelq2u0PQ6VhWqbNj0f2I+usJXeVJ5McnH3F7UepTrSH8PmMoihslyUJ0tvWwyHyaHUMxTbUdiPqa6V3lQZRokL7UspvRq39XrUC9bcJtV9YTOl9zW5P5q6mu6c+b8I4ln2WET6WXjweREqvyr5dWdgyAQYmXBM78dFW02/Ndffz3uuusu1NfXo2/fvgCAb3zjG3j66ae1O/zbG9/5znfw7LPP4oMPPgAAPPjgg7AsC8uWLQPgfDL44osv9uJfc8012LBhA1asWAEAeOWVV7BhwwZcddVVedMEgB/84Ad44IEHsHv3bgDOMcFx48bhtNNOO6Ll3fvGJucH5e+t6yMNNdyEXHSZ8EtVdkEefb4UTc9BdMzv29ZR86MZpNT1vPMZQeRLl3LIUHY48g3Lv5O3pRzZ82bK32y/DwfZ6Kgj+Vx55iPX3GUIlln2Np8tTtDsjurcmB3SXHlki2suT9v7WT5l12mbDXjutmOSQ3aeRacpG13TIMX5mFrnQpvX+FtaWnDhhRcCgLSbcfjw4UgkEu3HmQFVVVV44IEHcOGFF6KwsBCcczz//PPeRTstLS1IJv1pl4EDB+Lpp5/GDTfcgFgshtbWVjzzzDPe5T350ASAc845B7t27cLChQtRUFCAbt264W9/+9sRvbwHAFp31ysG3/F/GQDTZ1+QCZH/QkoL4S0ZwiDRlWP5+ebqgmreZjCJmspVto8FiTyJXLn8u6XIpaJkmYiSM/ObjR9miOfWV/BHbpj3v5mWXLe5+XKl4T7pqYLrJre8TDR0ekx57/wSzz+IrVaW/6FAbzliXaryC+4XbYPaT2R+crUl5BFuThN8xY/5ozq56puE37Jcgtum3kfzKYvcGkQessfXdU2QjpNpyrT1ehdPzqh8+XRU58p5byHtuQF2IgUURANK0THBiKhNbW/y5MlYtWoVIpEI5s2bhxdffBEAcODAAcyaNQvvvffeEWG0s6O+vh6lpaWoq6vLe71/6x9fQcOmz73nh1LRADXrKlL1EJtugtROY7qdTlcrugqAFEd1CPQ5AlE9BY9gVDWg8i+rumzqWjXpspqW6eoqU+dCfAoy42Y+gvOVZSRLRxzhqDz5EtRVtW6KZAWpHwQ0ydNkmrPxb3ZxzDDVsV46NVytLb39yvXst3eVW91l1tuq7uD68WW5q+50UPlJK5efTqQsykCVaT4ui59GNZxynrlcWPmv7lrqv9W+L8dTzaoox+x5mN3q7Cbf/JzbxVPrUK4hERdFkyACiDGM+faZsArzv8TnUGxBe6PNQ9b58+djwYIFePzxx3Hw4EGsWLECv/nNbzBnzhycffbZR4LH4xaFA3rA7Rxug9UbruiJyl4pAp/9vyo9Jv32vd2gDiOuVbrp5bjmNT0z1A6m8g+JVjb44brHrtI1zW8wmMrixJBllJ2XbPmqNOUy6spGjaPXXTYfXq4nVS5B/Kjvzfz77StXvZjr2Cwjme+gtWA5nVwegt7mTf3Ep6HKXm0fqkzk/IOX10zr5SI/JjmrMs3WV+V3cjn0PIPbiZqX7oAG11W2PExLhPnlYW6D5nYWrD+C06jx1TaVRVYs43rmJtzh0GbDf/vtt6OqqgoXXXQR3nrrLdTW1uLaa6/F4sWLcdtttx0JHo9b2A0tcFZT9AaYv+EL6oymBp3NcORCWwx6MHKXy0wrlwHOxosoH5MB7DwwOTlBNwxmV2pmWkFx/N+H14ayQzfmbYUri2xtwPzs49DyNvdHnx7LaXDMjsuhyyJ/46++15+DdJP7/vBuuQzKX6SVq76yD1yCecpHzzZ+uDNHrI6HNq/xRyIR/OQnP8Ett9ziXd07fPhwFBQUtDtzxztSdU3wJ6tI+g3IU3Hq9JQLdUSn31QFQGv88j4CeL/9XM07AUhLKU9TyiVhXgq1VCovbmrZ0Ih5yGX26bopfB7U+H5sUUKixPSb8HTKKieifNWP9pjGOOpuDTUndS+Dyq2fi24g9IlvdeKZYJo+1/dNQHovlljMW65zub34NEw1LUrJzUNenFCNilh6da1bTQsphXxjo6mcMvxWp9aGud1CCdMXcBjUfiTXk8+nSEvuq3I703WFyIOfu1gWsYQMat+Ql4H0ZSGxzoIdaDE3uaWJrUjvJ3qbA+QWKpZLrzum8CqXxY+lcmp+H4Tj4jifi8LCQowfPx7jx4/3jP6dd97ZboyFAHhBFETikRN9WlBs9Mj8dv+ZRmviyJgJ9JgUJk55maa/dKjhKl9B06Wm5Qn1mA289+Y8TaMpdXlBlIdcXn2kapKpKh9ZVnK5Zfm6YapzRQYeTPWg/xZ3FptoAGaaal2K9W+Ss+o0ym0weCQlx/dHtCZaahqdL7m8prxMdSIuU6kGTqehy8UMAguI77dZ09Kc2EZIkV9wvakuhdpv9Powl0Nvq/J7VYY63zKC69xUR2o7NOuToPRB/DCpLoJ4U9u2qqfI+DtIXkGI9TgO7uoHgJdffhlr1qxBfX09xL2B999/P66//vp2Y+54R7ysKHNrFIOs/GRv1TTKdGAeu6jGSkU+nm72KeBg2mKYzm+++csjpPzhjhCyb0FjUtzgkqhh2eIG8xMcxoz5m4yfOh+TPa+28Jlf3LbWw6Hmc+i0g+SWPw/5trl8ZHGo8sotofyomh2ooPkY/5eN4Bzy4y3fbXlB9NtWZ2LfCI6VTx/LxlNhv+55xu84aLPhv/rqq3HfffdhzJgx6NKli3Sk78CBA+3J23EPq7jA82p1406KWfA7rDodp04WQonFvFjmj5+IMVXKpol42RCZdlHrE9jqbyh/RWMMqJ1Z3yPsl5O0UDmNmLO8A58ptPzy+nzoE9iyDOTUYhl8emIdiaVTuVNpi+nVd6bd+yLkejbVg6tkTUpaPdcgQmyPahlFGYp8+PmobUBfVNHbh2mPvi4PE38yDQTyocpNTOfmBu/Z58Xl27T4ocrMtByltj0/R7mMZsjhtqHfBecv82Z6EssHiG1MXz5Rl+nMlPW+JaeQ24muH4KNt2kxR6St0hWlTSDjxLgTjyMNak0BRZYhTsdFmw3/c889h08++QTl5eVa2OWXX94uTIVwQILiE5u2Oj0tN2W1g+nTXfp7sYuZp/uYlkalo8aX40CJE8SfqnRUHvV4pJVddhpkmuYpZ51nkVYwT3paMz1VZYt8q+nMa9JMe5bzN/OsKzQIsU3tyJSfbvpM9PRnfVXbVP9Meye6Qma+TG3Z5IiQRFtf79chOlmqsynHC342uxnm9gIppmzIRFdJpi0a0mxjaL0fyrI0O3Uy53p4kHMQJANT2/c5hBZPdmf0thPEs74zSUxn5sv8Xk1jQ17AcdJamU2LlEprPHV0tHmNf/To0UajDwA//elPD5uhED6smHMpRLb1VPd97ql3Ob6M7J39cKHmZ+rUMkzvzY6L2h3V+EHK4nARpFjyTROcru28Zs8/N718+VfpZWuPzt9gZWqipyK3cjIrcVN+eh9R23yQo6fTzhUux21LfbpjS1nG6r4e1Uk69HZECJZDMLLNCLQVpv6Zf3s0O59tk7mJH5k2g/OhHucT6c6/SOYjPQxAqrFVo9PR0WbDf8UVV+D//b//h88++wzq3T/nnHNOuzEWAigefgLcozAs09AcZJvgE5FLGYqdnSAa02zpgmcRVNoElVezl2/euCduWmqbcVJ5I7RFoakyyDYy1vMy82KaJXBpB5dNnW3Jno9ZzvomKCbII7iudWWsK/zg9qXOgJhH9TKdbLLQ08n0gtqRLDefJ31kGzySFPuHn17mPcghUuUe3LbkPiPyb2r/2Z1dtX5NI249bjBdcz4i30GDj1z1qfOotvPsvOkyNcXXy5hLnkFlMaVty+U9HQVtnupfvHgxAODb3/52uzMTQgbn3GloDIKTpSpRcRrStNoZvFIp09OhGgB1JU0OF3MWw+U4uaf59NvngqfqRK7kcojlZ8I7KO8civKzznO+So2M9NS1SfK4FvnxZePGdqmJsc0Ol7wHgml1ICp5v3xmY+q/07cM6lIKnmrOZfyD15SZkEpdLjHx6yp/UXom50xvzxBSyGHq6r0famqbYs56HcjQy2Bu7zqf+l4Bv6yklM/cNn16Pq+m/PRbA03lMPVVtW+J78yUzA6K2lb99iA+mxxyOVxtY/o+AQhxZS5lbWfinMAsC9FO+JGeNhv+iRMn4u6779beExGuu+669uAphAuWaXxkg7OgrhPUeWH87aZRlb6sOLOPKEQaZmOqw2ywTPGCFaZapmz8cridPDcPQUrYHN88Ggl2pIIMTjBd3SAH5em+kTf5qXRM+WSrKz29qGCzO2b5w6Ss9fC25GN2JLLHNdHN7gjLz2bjoI+IDx+64y++Dy6z2cHLR5amPi3LTW+XatsXnVb3hJJpo18+cgxqE2bpmgcgsuOgxvX5Ii9+NrcHiHYtNIZ3dLTZ8P/gBz9ATU2NMezHP/7xYTMUwgePRwEOcO3iK11l5fJO/U1BRwbmsYFJDZu2fOVW124Ks1kTRz7Q/srxVFAbeJfLYFZU8hjZ+a3PKainI+Q5gNzH82QjZzbEh1vXpryDWpA5rpkPvfyHA/PGsVxpnLzd42mqEyvTMYfppz7MsnGNiRyaq7+KUEfo4ojVvEtdzVs2ZKaxulpX+fKXvY7dPNs2QNDlJDueco4mI27e6inTt4U3Jj5ciZvbKQMAssHbowkfBbR5jf/cc88NDFu3bt1hMRNCBmMM0dJiAATn07zQ/jnIPvIMWmeU10RJCYOS3g33f5tGHyaexClFfbSizlj4tP006rMY1+TRy2nkfEjiR4SJriwH0+yASFcsOym0yEBLl5FpJCzvl1BlpvOlgklykWUojwbNMpb5M430RN7EOPp70eQzJb0oL7ns/u/gNXFTe/TLqMvIvN9AbNdBew7kuhP7DQn/xLg+v0ziUWyLuQyi3E/kduiYOpNOMM0A6XWvtj3xr97XRT0gplPrSJWTKgNT31YdLjlfVcZqP1D3GqjLH6TEM/VvsVx6P4DwzAGwyJH9QuuRQniBTweGnUwjtb8e/vlWk3drUgYmQyy/F9/p01m6368qGjm9/l43qqrvbZ5G1H8HjztMnVqNH7xRyE3HlGcTdEUbrKx0RWvKPxt/7ignSJ66cdN5BIKm5EkIl3nww+V6N424gkf+JD2J9eOnDmqfZjomg0BSmJpWjq8rcihhLCDMT8u8p2DzLPIV3Pd0mro8spcwG5/Z6ap8BBt9PV72d6b+Lf4OarMyHb9tqfME2Zyi7OHmpREzD3pasZ+IaXnmd6TkOJnqDy/w+eJw4PX13roYz9oh/d/BZtKF6jyYwv3frkdsUufm99mnXlWVRko80zv9fVB6XW3mhsmouW9VZZ0//SCZtQUmGipXMsySNafKxo1orN22x5SwoBzluLmMtAg/ldoW1OWYoA1YctvOt55y9wkxftDtdaIBlP93QoOm18WeZKrhoP6TzWCZ4gbzLD/L8bjCoZinLls9vV8y+YKwoHbkp9ONfva6DG7f+fe9/NuBG7+wf882xO84CC/w6cBo/GBb5hfB3JD9EYKsgPW1PF8J6aldCqqKERWXOlrUefHpiL/ErTzMEE+/M85sVHwe1dGZyWEQ04k7lEUF5KszXfWKKXzo5TS7OsGjc9M+BPP+AnGVUv14immd1uSMqSZHV7wMvlH1n2Q5Z28Dcn6+EyWXSd7XYd7zIMYVW7YOsV59iYi5+an9sskr8iLPar2K7opunHWYHNVsxlstnSs3sV5kPtX4IkV/A5DpLIM6gjeXRKYbVD8mR8I80mfSb6aEiTpBTytzyRRaZp7U9XoSwnUZ67pR5V7sM8HgoMxSbOdDmw1/eIHPFwdmu2f3yf/2sxsmxVQNhfrX7DOrSo5LMVTFZTJuavdVlb1uoE28q/TcWPo7UxnE32ZTIMvD7DSY3qlQRysq76qU9OOPsplm0nuTYQmWmVwmlZ4qSTl/MY3JuZJ5NfEjm/ugetLlDeM7k0HVXRpd/rr8VNpy/ajOlNhGCSZnJRuP5p6op1V5zU7TVEa5T4omzcxTNpMljuD9VHpdMWP5ZKOullznFdIbXWeozqzuqMj0Vf1gcix0x1fl0awb5TzkvRjis4MIJQEwJA80aHx2BoQX+HRgFAyqgNM4bRARig2dTUaQf6o3frGDy5cDBaXNboDFd9l5lPkIBkH9jjeDzHt2eoTgcmd3QvTfuWByIEQausMVRCPIqQhCULj83hbqW+cZSlhuI6X+NuefXRbk/ZPbowo5r+w8qvGzPZvahntZVq5+JoNBr1Nz+uxtihvqRH924+h9Q4yTnUZ2+nI/kx3BoL0dhw91E6j/Pii+n05GkNMeTEduw2qfMPHlvk/XdU7DH17g04HRrWYiDr6+FoDTyPqzFDaSe42vA/MIXRwXOGHi5Jf7Xjcafgp5TKfSEPPRP8jhp1fva9enqMWyiBy4n8awFb5kfpwncZSkXjpimrKGgQdAlqksP5F+0ChMzEOerhbpqzRNv0WQECqml+Or9aaODN38zVcVibm5VETD6m4sdcuktgJ1rCbyFNR25JGtz7seHsSjn4sDf+1dbbv+b1/Bm5dXTO3IlQBT4gaVKVetyiN5uVeakb3diDUitkNI3IsSUOvL1NdVDuWFO/1qn2An0X/n56PzaeZDrA9Zf5hyMbeLXAMMMw01B925cDhJbNvRBuodB+EFPh0YPBrJ0mj9DmjuQrKxExULCf9DeSsrX9NNYWLuENLo9GTDJL4zdW+R8+Bd9FDem+7BE42zvoYu8iCv/Mm8yvsAVEnr6lwfgcjyUtPJpkXO2/+tc2Wio6cRnT45zGRCzG6HXsc+nFS2kDtloeTXlV6vpt+qS+eXhEN2+HT4oarMZH5MdS7zIspPdQP0+KLsZadHz1Vu/7rD4zpaakv1+7K5juUwt2zmfio7DObVbl12pj6nG2DV7OoGVDfMar2p/VAsiyhrJryXHRG1d8mOncyHSEvkKpvTwEBI7TuI1IEGRMpKssTseAgv8OnAsJtbARAYYyAiFDIbTFpeIaGBQ3ofpNTMRlVWFJDCzd67iaZuRNUw3czIa3p6N8s1hSqPUEy8yXmYRzdyuqD35pGMT1fPV3dxdFpmR0KnFZy3ypvoPJlGdeZ0ajl9hSsrT1fWtrInRMxbpuP+5sI7nRfdgcguI9FpUcvk01H5klOpDqeYv9nRVA2pzKccT4fsdGZzXPybJ5nBmMtx/XxNRl3NX54P0+nJXJmoqPWg76cRQ/V60HMJatsmRyY7L3oe7kyQ7zQFpTf1sWyOLAAQ0fFh+N0LfHbv3o333nsPjDFvw9/ChQvbncHjGSyaqZ6MsR/HEliDGNTmqPvp8ghAnww0GWempPcVouglu5S51qVV5S372+JIQeXWhzxdmw+ClK8YDkCSgjqqUBWL2YmRp/nzVUZBU6KiQTbNSpj4ygWToRN/q7ISR0V6zQQbVNFomaf5/XjZeNWNsNm4Z2+7Ik35BEMwN+I4MbeEg9tY2/YCiPGD2mywg+j+NjnHYnsyO9KqMyKXPLsM9DpS3SLK/NNdQbHP6PHFutV7XHZeZN7NrozJiXTfyzNCQQtI2Xjx0hdEs8TqmGjz5r5EIoErr7wSffr0wdy5c1FbW4u+ffvi61//OlpbO9/nCTsyeDwKFo/ANaQx5nvAQaMKMVz3zM1pTOnlkY25I+jKJPsUPZPiuXya/hLEDq2WxQ03ee9MeO8rqGAFHTzykOWoKxZRTqLyMY/0VH7VKXux/Op7mV95xOnnmW2EqYIp4f5f1YAwqR7ceNod0lnii+9NI1TTkpDPk2lTWa72r5ZSjB/UltU6Mv015em3ZZ0/ud3qfUNM65dV50HmN1t/U3mQZahC5E8tn7kvB8nFbxc8gCexnept3eePS+F6eXXedD1giqPqE58Ps6OSr0PIANjNiZxxOxrabPivv/56fPDBB3jsscewdu1arF27Fo888gg2bNiAG2644UjweFyjy6QRmmJUDbMfpo9InPgkPcvxzSM71WDIxtinZ1IsuiJX89ENjylPnSdVKag8yL9lXrNDV75i/mZjJjtHzjOX0qjKRqVnlj9X3md3wBwe5HxVqOlM8tbblioTF7rSMBtL93fu5SJd0ZsdMnM7M7dBsR6Dz2Ob+QvqN7pRMz/L6VRjKOeRzYkJykNvQ7kcGt2A6vLXoaaVeVadPB4gJ1Odmp09PW+3XZt0itz33N96H+CZf6YwMZ0+4MhPdyCRzC9eB0Kbp/pXrFiBt956C5GIn3Ts2LE47bTTMG3atHZlLgRQdsp0NKxcD0ZAfkrdfRPs5ashzjsyhOeXn/NOpBKcl64E1Gk3U/4ib05eajz/2eXFV6j6mqY/1evHluUn0mceFSfELNn8Rggk5O3moSpdvVzyOqrMZS6oxst8la+Je2aQtW+kmBAvKH1QuLldiXWo1picl19DqjHR25ENtczZ+A1uv/6T6nib+5QtlchUX6ba86edZeeDhHA3d924qvTNUjf1Hfe3uHlSTam/MVP227c+1R4ke5W+mk6Np7aT/PtffghqfyZEunfNk2rHQZtH/LFYTDL64vt4PN4uTIXwwTlH0fhhAIJGfOKz6tX7YaYpYnU0ASXc9FukByXPoLyCkbs8svKS1Z06GtXlI6eV+SMDnzodn152XkVe9ClukX+zTHUeZfruWXznn52ha77nQJWrPNJxeJPPjJtGf2L9qiNy0bHSy6GOnoJGZ1DSmN8HwZevLG9z2xWfVeOujxjVsshlgKF8prJmK0/w0occz6fvO2J+uLnMMNDW+VLr1S+r2L/V9uqmVN+pZWTSjYJi/mpdZZcXIBsp31kOXubQ81Tfq7/lcsvOhEmWfni0ojui5WU5StDx0GbDX15ejh//+Mdobm723jU3N+P2229Hz56d897ijo6yk6ZllLXJoAN+43R9bXWK1jzCEv/qylqkG6SwdMOqdxZ1HVMG09LoilafjlV5N5XNpFxkZedMwdoB5TArBlXZZpMxC+RPzsf8rNJS+ffbg9mYyTz5U6byUoXZgOY3ehL/yvmKb+R24OdlQ23LKj21vCLfHOLUsglyWt0ZAtR2pJfDbIj1NWbVUQ1yRMU4Ip+QymIy3kHLEWodBsFkdNV+F5RGL0NQWWTOVBkFt3l1yU90oOG9M/UncUlHLZs5z2CnydQeggY47nOsV6lGvzOgzVP999xzDxYuXIjbbrsNJ5xwAgDg888/R58+ffD888+3O4MhgEhZCUqmj0XTm+syqtT3/AFxh71qpMW/8vWs8m+/U/l0mOEKXxaQXu484kStPFJwYjKFqkozu+FRFV7weCFoRKrGYTCtAeu8mngTyy9yo8s3GwjyFK8sZ7NjI7+VF0vEX+T9zw1x1JKoToQ5TzVGUOn89ijWrTh9rRtg8RihiRfzKE6mSFBTm6awVQOg8m169g2MKn//vak9qHmIPcQ3XnovlOOaeFMh8xpUlwy6pJiWTq0HMpzm0eObePHr1n0KqmMzx8F5yHH8JRa3X5t7pF/3Yk349SfTDTp1YyO1e38gPx0ZbTb8w4YNw4YNG/Dggw9i/fr1ICKMHz8eF154IWKx2JHgMQSA0vmVaFq5HkHKLaiTqwrNtLKsetAkmXwS3vtdyv9fVHaix66qd5NR0VcqTWrb3CFFMykablJK5vMcbHxl5R+8wqwaU1EOIi35PVPiu+9Uxa4bf5N8TDzZXiqS3qsGUefWj6cbDLVcpNGxodaUmINYQlP7NI2qXQdFfes7UGLd+JyKZdXLE2SQfHqmS3nkHMTSm/uOCpGyypPMi9lYmx0MuReqPJpSdWE2Gsg8uWtuFSRI3Q0Xp+5NTpSqHdRyyPWvO2JB9aX2Zp1PXWOo+y90x9rnydSf/LbOtHcOLJaRRzKlpe8MaLPhB5z1/Msuu6y9eQmRBTwWRXxwH+CDOqkRq9OJ+ll5wO0Q8qUgweM2Ve2K6f2nIGUlj+7cv0x4J45t5Px1Za5yqao189qen5du/FT5ZBuN66pM9/uD8tYhl0819KLj5CsrwF/dN0/l6mudBCYZzyCjo496VMqyvMX2Q7Cl+iGpdaiGUTSZuRxVswEWf6tr3SYnxWSanbi2tL6pGye1/fnw3WG3DObWoKZjAfTEfEU6HOZWKfYhWZ76zZUiTrUa8bEdwZt2gRCae5gg6xndfdSdJbHVyrpD5jW7kyW/VTmUa0AdoOilcNLIbdWUt0xHdKSDXWaAdykyvO34yGuNf/fu3bjttttw2223Yd26dVr4jTfeiN27d7c7cyF8pA82IvnxpxkT4DZm89qz89v10FXfPOidD+6tv+qb0dz0XHlWx2FBBpVl6Mu8yn/992IXVdemZZomZSJ3WJMiCeKRwLUzyTIvTlpbCTM5TL6sdUUoGkJ9hOHCyvBjgsk8qOvFcv2p5QBc2aobsphWJ/57VzZMiqs6ISJkGqY4JhkF0xTbpypjnZb723wUUZSX8EVML4/cSzViHtniAL6sssPU1vVymuP7aYbwJLowwgSeQB+WNjgaJjpiPqYPPDnxZP1j7ocQwvTyyOERZurjZodVrXc1TObTlC7YUQCyl0VEwbB+OeN0RORl+B955BH86Ec/wv79+1FWVqaFv/fee5g5cya2b9/e3vyFyKD57Q2ArSt0Fe47Z+OX2Vg4EI2XyRgEKzJzh7O1d7n4JPjKReVf/J3bUIjOkAqCqgxzOwCqwTcrdvlZdWaCFJzuoOi86uFBBjzYAOT3RnQ0TI5YMH19dKjSMNW9Wn/iiEody/kbukx151NS+Q52PsxQZaA7jaa4bp7+pshezJ32DZKh2JbUdiXzrufjPwc5R/IeDuf3GJYQnrL1R5MxDHZ4TIbc788mvaJCrFsnXkFg3zAbfzXfYGOu0jVvSjTpu+D24/BdOGZoYIyOjLwM/5NPPok///nPuOuuu9Cvn+7hPP3007jmmmtw6623tjuDIRwktmwHSG2s+vNIloC4Huk2cjWmvEtWV5bBoxLn3Xyr0XuWR60+DROHAGEsz3yDQMtPV+viqMtMD+jO0sbOr5cnu6EU+RGpZBvFuHIUT1z4I2LfGMpGTR79maZ7gxS0XIbsSkquU3Xkqo5AxTLZWvtQ+TPhXOsgylg682RS/LoRF0fXJsfGz191Jkxlt7XLj0T+sznK2UZ3ulxleu7fUqQFuamzQSJkuYrOjylmsEOmOhH68lhEqHPRRMsyVZ2tIL799NlMrFtHXZCWwhiAGVYzxPZtmlUSacmQPx+uOkemvp39ndnRZpqMHUeGZ/4x2AARrKJ4pzzDD+Rp+JuamnDWWWdljXPVVVdh/fr17cFTCAMIBMbkN1zpvAzk9QY36gWRg3AUgjw6EUc2akc3j+l8jOet6JJR7PpI1EeQ8Z9lNeNUq8ELVZ2UoFGtajDd8GJvFVwfTYm8yB1aPk6mGhazIxRcRn3EKS/DZDPK2d7JEPMwO0LyLI9pxBzsIPlpTHlmx2CeRHdm43yrQalDtV70/MTfenmcfxzm43/ZR3lumxfj5W/gs8Mvk4ln0RGUDbvczrjnrOjy0Wce9BkVKOHy+ww9ssEYA49H4euN4H4r0xToCChl5qXEESzh8VnOUpojoR7B1PuWiSMCR1o4fivHLpYcjCBHgqR3zMCL2hYB14n3lz7dPhVFCvGBFQZeOwfyMvwFBQV5EQsv8DlyiA3qC8fyO42PSx2JJEUioiuzMZ43YwJvMRhWFQ7NHiwFedQrK9dypCAaTt9REI1MsHIJNuyiIggOU5Wh5XrhWTuy7MG7I3KdK12R66OuoPKISixYyj1Y2uPDjamOHnNBdJTMRs538kxXxprvMGg7Hy5qeBPU8sgK34ZqBMS8CoULioKgjqQ5zMYnyKkK3pORn3Oj0jPJbghLSM9yeyVYBuMiOnKmUaj71t1c6OZdwGSZqa1Zku/oAbDiEYP8Tfyo5ZTDZlnNkkaYyZsQhY1pvAU1VrPvpDBdJ5j0j2uEOaXBpHbiwLyfxEeMERbyBqhw+ajILMGYHE+3H7j6Tm276v4RUa6pDZuR/Lxz7m3Ly/Ank0nYdrb1YiCdTiOR6HwfK+gMICJwiwFkewZLbMKm6U3xaSZvwSzejGwQO1osiyIcwpIYwpKZTi0qNnm0nXUDE+Uebfg8ZR+tMhAKYWMUazXGMxsB81RjNgMwiTfjFH4QZ2dmKly6C6xG1PBG6V1QOS6x6jCDN+NU3pCz/CIng1nS4xsgdM9Mp4vGX/64iaywVD56syTUUamJf9XBclHNm6XnkSyBKCNYSEOd4vfbg0pHHuX6I0iZD5Li+ntX9FkEtZ1kcwJFt9aWYqjrztmgOqUAUMVbtDiuwyLyTEo6WUZMoeE4t24cN21flgKU+lP5d2SVRvq9zbDrG6T4agmHsATOtw7iTOtgYJnnWU0Yw8W76QnjeCsujdRhstUCVXb5jegdcPgyYSDEh/SFVaQPJv09BDJVVZYAMIm3YipvzeFQAu5ynZtedFKMOiTzsv7Rznl3TV6Gf8GCBfje976XNc73v//98LO8RwhN/1iJ5hf+FxaJCt9F8ChbHB3kM6ZRp9JM+cyzmryJB1WFuPHF2QhxvdjbISz0pCAHweW7O0sb1wpZplQuqRqrSeLXHSGpIxp1ytjlwWQAxQ7fhdkYZKVQnjGaLgbzJEbyhJKTXp4KlkIhS2MCb0URMzkbwcrSVTKubKeyZimNyq86MlEVVxTyUT/zPgM3XL4jQXcyMzMolM7wJx7z8/kjwHPOTMq0gqUwhzd5z5O8GSo9vl7eoM1a8kyIaBhdZ0nemyGmc8tghmleJ5sTwqHWj/nmAN+ouXzaBv7kVHq5hXpl6iyDOR2D48R2YylUZKbo9bjuLIvOOUPm9Anzw4qFDa/mMsuwFKasrsVAKpWljL6cxPfzhHbUCynDQCY/py7XwAQA7H0HkK4LdpQ6KvI6x3/DDTdg3rx5mDZtGpYsWYJRo0ahpKQEjY2N2LBhA/785z+jqKgIf//73480v8cd0gfq0fyPlQCgrPEDegNWRwpOHH16TVdb5pGZPP5wU3HYAONeGMGsSEQe/JwJzibFoM7o58YAnMEbEIGN/0yXQT2MZe6YBP+WApezoGl9eeznKybmpfS4yUQKqgO1nKpU4rDBGUCwYUuXqTB0RRoHvZP36niXaaLqzZIohI3mAAmYoc8A+Bw4oTHYSGhtiJRYMCh/cspGwe3AmWlIYSPFA8oJjOQJrLCdc9F9WQLvIo4gU2EyguqVSG67V1u/vgfBTc209i9ev5MLsgMSLG83btCim2gk9Rj+22EsgS3I/i143XkXnWa9DhzD7YbYXp9zYzpfulNGwoJ4GICFvAGbKIapvAXrbXfErjq7udsuLynK+uU7eanLxzCewEuZdgQG9EQK43kLNlEMLZmoM6wmvJH2z+BP4M1YaxdItZ1v70p+8jms8V3yjN0xkJfhLygowIsvvoibbroJP/rRj1BXVwfGGIgIZWVl+PrXv46bbropvLnvCKD1nxsca2PY0a8aZLlzscy6vjtikHf8Ot3eUS7yTWkyRRHOiC4FbtCDfVkKn1JEMJmABShjdZeGv9YqKiVxItMzRiwtbEayVZWj8esrNb3MZriS8EdmrlSC6MsOhaMczTnI6oPIqUrZcBJkZSg7XARCT5bCFpIV/CLrIB5LdwUDUMWbEGWEzXYcO8ncpUXj1o8lsV2IN5S1oj9L4hOK4UOKa8bLaR/yDAT36AFFTF8GFF0v97mcpXCGdRB/TXeRzJo/EndGiU0AesGf3coXfrPUR9yyTM1p3f7gxyaUMRsHiEvuaLRfL1g9u6F10zZQY5OQh+goqRDbgskpyH8DqCu7AcjyOdiMzuDFhUCjH89U/nncGemLbXEUb8FGu0ByhgEgztwlB2dmxyrvjmjXAqQ+2eHRG2ilMBDySF2Wj+xu6yBYPbvBNoyk+/AkPrPlvmCa2fN/EiJWCrOoEXGb8BY5jsgEnsAEnsBvkqVgAEawFqyDv6wgD3lknOydaHIjt6WVdgzkfXNfQUEB/uM//gO33347Nm7ciLq6OnTr1g0jR44E523+1k+IPJE+cNDYW8eyVrSAYQs5zpYehTDDavJMkqvSREPLII6O/aZexmx8TtAzRWYdjuRRk78GKaMANhoNq0kWI3CSd5+7dMTDb46TIJt6dynCdPinF0thl+d8yPzLVKGEExZbB/FMusSLwZD2JKQmO9lqxN/TxZ48iPlTmrrE9LEDY8C5Vj0eT3eVSKvld1N2QRpnWXV4Ku0fHerB0pjPG1HM0qhgaTBGGMlasZkK8J4dwx7NAfD3YvTlKfi2mtCTpTGKJ/BJOgp1RCaOrE0mbRhPYIqwf0TUgXoahgpvf4LrNPkyZiB82doPAiGahzKdyFvwji1vPFZH0ro0ZUfAh9g6xBkfgRpjYBZHdMAJYLEYiirHIF3fCHt/HVJbtwvGTaZpykfmWXyfu9xufGd0Lo7iHR6t7qVg0SgivbsjHm8E3l4LcT7Ep+O8G8qTHh0OZ9dDjdWEjXYcqvPcFwlpP4m9Zx9wYB94SRfYjS3eACWoFN2QVvqwWBe2lxsaGpBYu0+TyQzejMcFw88AZ4BDrn5zdtxzpGGDO0tPBDCmTkfZALjU+iQ5ZsEgLjtc0f4n5EjR8dBmi21ZFsaOHYtZs2Zh9OjRodE/wuBFgmIjYLF1EFN4M2bxJiyw5E1lDI6xFZ8Bp9HLIxF98lNEIWycE6n3OjwT/rmGQV8D1Kc5T7L0nbYAeVPC6nqxOPLz+GQAGMM5kTqISk4aYzOAM+AsXp/ZHa6aGzl/E/pldmOLsnMdGnX3eFwop2gggkEaI+VcmAthLg3F0GTAmY2ezFfOLobyhGdIASDGgNG8BVOZu8HMXEccKS9UHpWZjjipYJLSmG81Cmuoplkp0451cfOh7EBGGSHGVedMHc05To5uXNzy6TvD1TgyXXWDpHBenDnP7vntWP8KsKjrVDFYXUvAIpGAsvvlYsI735ElKe5Y3ooZVpNEpS8XN0wTBjJ/86BLR7wzIj5qMArGj0B81GBY3UoRHdBHk5+bjuAsF7h7HbjQN/0cfEzmzbCYMufmNu2GBvCSwsxDRsKkRALQH0mUsrTS1p3jepZQDmrx94OIMNXpKJZAN57y6535chGPLnJhFomDwDL7UgCgSJibzO64CSBCbMxQWKUl2eN1QHQaq51IJHDNNddg6tSpmDp1Kq6++uqcpwiICLfddhumTJmCqqoqLF26FHV1dYdEd9WqVRgzZgwuvfTS9ixWTsTHj5Bu7OvDUqi0WjLrxSKcp4m8BRFGGMKTkjHiLMgAyh66awx6sRSWRPZnrouVL6QB06fQmUDfDatgaZxn1Xm70t0weVSoG2nXIZjIW5w3ZHu3osmGSk7LGWFiZmNPv8wmPNWwyWUXDa4eT/zLtQ/S6HF8Bwn6v+JCRAf1RS64dKqsJsEI+bv1PWdI5UDwLSoyI5KIZjQdFAh0RYzjorIl4X+f9petA9CXnQCQDc5sIUxuNyJd93l0Zre1cYaG+XHVdVz5KKJsvBWpqEziJC5OHzNjOuefY+wtkg14aus2JNZsANK+oaCU/6EWdxnHtPZsHk36bybwlkybd8tjYzxr8ehxELox9+iqDQtJwclxwtObtiK9Z59HMzqoH1gk+AM9w1lCe8mI4O/DcfgrZSlM4M0G/n3Z8IP1KP3yaSicNBoR7mwsFPMCnHo9WTgZ4zpqANCTicsD4i8hV2V/EGVoljEbi616fCki6veME5AhVSS0aVfPnGnV41R+EMVMrys/BwXehh+gZFFNgEQ6NjqN4f/Wt76F9evXY+XKlVi5ciU2bNiAG264IWuau+66C4888gheffVVrFy5ErFYDJdcckmb6f7kJz/Bd7/7XbCjsJYT6dMLsTFDZWupDyDB4Jy/L2Q2llkHMJ83KN0DWBI5AGNDVugM561gIJQh4MtTRCDSlbXCHhgI3ZmNBdZBuIrMCyfRSJrXN4dy4YieOlMHYaQtsDCZteBsqx6n8Hoj64NYEifxRo9L8f/ZvMmYBnBHD+qOBR2SA8AIVreuKKqpRJdTTkTpJWejcPYUwJ0l06vUQz8kJCdCKi8gKFXyrJVbJQWMcIm1D8us/Z6xdSd6q6ymzA1zAq0MpROYXt/a7AMIQ1gCxczGcNbq1SNA4OQ7J8aLWpiTfrFVj0qrWTgGqewWF6aLxVGtawDlWRYm8Wl27py0VbwJI62EkNbWZKymkUqRebDrDyK5+SNfJoVxhV+fw2yzT/N4IybyFiyz9uNyax9Kvdkbp5xdmT8tLtaVIw+T8iZQKoXkug+Q3rs/84rA0uod/f4gob83k2RLclV13ZJIHYpY0CyKQLmuHrRjJ5htI0LitH6m7MzRU+LMhlumWbzRQBHolpHDCaxV6IOqXJ0lrB5M7aN+vJGsFSN4K04S1uhPYCkMUI4nGkol/HOY9W7yKyw08tzR0SkM/969e/GrX/0K119/PSzLgmVZuO6663Dvvfdi3759xjTpdBo//vGP8Y1vfANFRc7uzW9961v461//6n1oKF+6o0aNwv/8z/+gvLz8yBfWgC7nnIz4pFG+8c/S+xjgnKlm/lElV4mVCWvRADBPmYpncKbny9xRhdIHXIWjr2VCc0ZcRW+xNKIslZkyN50wyFocgHyldVZEN+auMiHXADGggiURDSC6kNdDLZhsSMxwjU8EaVhIoWDaWET7VyDrxh4CrN49vDiMMxQvmI3u11+O4gWzECnvhkh5NyAzdew7TDYiyvWkMh+Z0SizEe3dDT2+cwW6nHuK1DyKWRoxJtcTAzCVNYOBEFduI/Ml4RpY/42af5wRlvL9mKducoLY3uQ0LjFXQU/jzZLoCpidmerNLKsoIzt35kk30j7vansWwQGMZC3iYM1o8GV5BNQtAekde0BJx2BYPbv7zpyCkwwXy7gYwROYyZtRwAhRpjiNAKbyZn8K3kRAFKzkGBBSa99HatNWUGtCjw6gG0thBm/OzAQ6+cXGDgOnzOVSJPZTPfcJmZmJgeJSBGNI7z2A9Gc7vfpz26vXJshp110FA+5SL1Daq4tFvB6VvAkL+UGBno+g2mIASpjvUFoMmGc1YjhvlVq8H1t2WN1ZFLe/Of/SiCIJC2lERw4G4wFtpIOjUxj+FStWIJlMorKy0ntXWVmJZDKJFStWGNO8++672L17t5Rm9OjRKC4uxvLly9tE98wzzzyqexlYNIIuZ81Ht+suRfHpc1E4YyKiBRwW5As8AOWRMcXQytO3JbDx1cg+TOFNmMybUWU1YShLgFEanNQpZYEsZONvMg7OqN52NvGpwyaypWlACPT0fPz8gi4Wctf1RG7cka6YL8sYS8vgfPhpfJxoNWIKb0YvlnJGt248xsCLixDpfwJYQdxs/BkDKyxApFcP99HhIpFE6/IVSL7wMmjXHtDuPeDJVkHhmy/KEhWSe/86AwEtLeAFccTGDkds4qhMJiTVkVg29938jBL1R+hpRJBSFJ+fTpzFYXCWjvypfF+RmI2pC5L+AMBcqwGDeQLjWIvXJkxfItRoMmBixolxy+Tep6DVI2/EV6y96MIcA1RpNUnxxhr2RORwR51ZL3fXOeeIDlaXcQiXRvZjOE8Y2mJw2UT5RbPUn5iPmWNCevtOND3xHHhZV++dS/9czwHOGGiLo2DUEK8uxS9ouv/EFZ4xrBXnR+pwsujYkNrfRIck087ytpN+2i4sjWm8GcXeiQJ/xM28WztlCZ9h1WOu1YCeTJ4hEOXoakNnFkE+PQQhnqyH/EFAtHePfAvT4dApDP+WLVsQiUTQs2dP7115eTksy8KWLVsC0wBARYV/nzJjDL179/bCDoVuvmhtbUV9fb3073BhlZagYPxwpN9ZBySSgkeaFjqADVZYAF7WBQXTJyLSr7diBPyex+B4wVVWM6ZbTZjCW8CR2aEfOJKVRxaA7xVD6egWs51pMYGU67Gb9KC6LsqKisAjVuZB5meksAzAiGCVdYHVu4emRNWMOCNwlpbWRk3Oy1cj+zCWt6LKasY5kXp/BoExWAP6OIY9FkPXS88FL+vi8+iO7kuKEJsw0ln/zdx6STah6eGnkFyzHqR8aVE0oibJRxgwx2pEtdWIQsFp4kXOVCPjDCVnLkDxmfNhFRdIDpMoDfdXqXD7n5VxiPwZA9N4SJCQqL0ZAywLvEc3o2kbwBKZDaeErkiBIFflSJ7AQqvBk69/+ZOt0ZmrjJ4LmXsda0aFC+vSFcqtdg59AhjL3HjnYB4/iBOtJvRjCU9mS6wDUj7zrYNgjHACk3dzi+WN9O8D5hlYBxb5RklP4T57k+DGUPVsxkTWjO4shRGiI5r515+px/sI9o7diPTppXVn9xO4TlqGLhcuBoS9CgxADM7ovwdLuZ68vwzDnJMlltAvWJdiRPr0kvI5O1Int0Uin5YCBuCSyD6M9G7aUx15SLNarpMS8RwAH314CiN5Qmn1ADgH484epcgJ5bAiHBYIkcxSh09b3wOjIvn2OlCOG207KvI+znc00dTUZLwjIBaLoanJvC7rvle/HxCPx72wQ6GbL26//fYj8rXCxLsbQM0tENdWAXjGN4YUEAVKrloGZnE0/PEJb1saQJjAm/Cu7RiLsszuWr95+zuaHSUqa4ulkf1ePMCflnRUh5O/P/4KXg9U3w9hrdhCcSHMoVCyYDbwwj+AhiaACGWUQnlGadfyRrxv+3VbMHU8ePdSND3yNMSLfpzy6dPPrsz8eHIHtgJ4BxHi08YDu5z4kd49UHbVMsQeXQW7rgFgjjGmffuQWrXGMfqcIzGwJ5I4gPSWj4MomzKDKK0xvFWLEZs42i8DZ4hPHI3E31+WSuOWvZbnuGHMmwYXj9qJjp6N2NihiHKG9Kc7AMtCbPRQxCsngFkW6n72gDS1PCuzhp0m5/BUlPkLCdkGfkz56/DeiDgjvGT7O6jFDaU+jw5KkcIOROC3w0xpiNCbfANZkDkSV8Mb8Wi6FGN4C7p531JwUg7nCQxl+7CWCvB5Ouplxrv6vFBzMyxbPXmhj8bJEB4fPwLxKWPQ8McnJYcQAPoKxvzsSD0KQTif13m+13DWik0Ux1jWgn4siW2kX+hj792H6LBBwEZ1WdQRYMm5pyA2bCAS722SQs+x6rHWLnB282cMI7mevDi6ZwzgHCXnngqrvLvjBJDjSJ4A2ZngzAaROo/ko5gRerEk3odzn8Sp3vXBTtyuZDa0bj93eFPCMk5JfOZU2PvrwCIRREcNgdW7Jxru+JVEw/Q7CNTQiPSnnyMyIPem3Y6Gozriv+WWW5xKyfJv9erVKCoqMu60TyQS3vq9Cvd9a6usLFtbW72wQ6GbL7773e+irq7O+7dt27bDouci9YEzE6Fu9oHwl+rqkXjlTQBAdPggLy0DUG014fLIPiyN7JdGjvoIEVB3b3cRvsjF4CpHGa4DoG7u6p0x2D0NG8jm8QacbDBKvKwrokMHeuXiDDiH1+EcXifzaXHEZ08V1iWVmQPlb6FhbGWZyqMsm4ABhafNRaR/H7nMnMHqXoZI315g6RTSGzfB3rnbG+nDtpH+eDta/vo/cI86tQXdTZssOQMv7YL45LHS6/Snn2UuldFzGS3cWV5okI8Df7TPYTuzAd6IikAbN6PkvFNRdt3lKLt6GYoWVMMq6wrepRhdvrrEuAHWYvBG9AzODA3v2S1TDi5sdhQNAmGRVY+BLIGLrX2IM4PUiLT2L0/W60fqOGxt9As408mXWfswiztXP0/LfHRodmbDGVesglXeA8wdNCSTSP5zPdDQgAjcL9I5bYq7Mw0Cj+J0scUBXhxHyyN/RYRSiEC8SMcRyTmROiywGrw+xAUxncQbsMzahxqrMcBYEehAPUq+fDqiIwaBxR3HgFkcsTFDUfovX3JODgGOcxD1HYfuLI0aqxFdhb1BvCjuOL5uPMYQHTUUXb96AaKD+oIXFyI6cVTWZUKLudP0sv4ytdmBwnXYjAFxTlgW2ZdxzmS6DIDVp7e23yIyuD+6/ssSFM6cjOLTalF0cjWiA/og/dE2IGm+BGlqlo2+Itxjh50NR3XE/61vfQtf+9rXssbp2bMntm3bhlQqhT179njT8rt370Y6ncaQIUOM6dz3O3bsQL9+/QA4o9idO3d6YUOGDGkz3XwRj8ePyNcKKZ2GuPGmBDYaFP+NAUi88RZi1VWITRyD5hdfA1rlUU6BMPZgAKx+fRAdOgCpNetAB5z1P/VyHyduxqgz+WY7zflQ+D7FqsdGinv3tUe8y0cYYszGADSDo9hLywoLYfXshviMyUi+s8HnxKBQ4rOmgnHujcAY5EtcLJC3lYjBGUVN4U142y7yeGcMsDJLJuLkPyssAC/vgUi/ExCfOh5WjzJgn6wUiAjprZ8g/cmnWZZyyXcEJEk5HwBakS5BEWw0CXW5xDqABvDMR3kyo6yMAKyKXij+0iJnj4GYy8FGgXtCH5bEZxT1Zkrc2hQNKQ88ymR4l04h+d4mxMaO0OJEyrujeMnpwB9f95xGqfVkRooFNdNRMHcmUh99iuSGD0HJJKzePRHpdwIaf/tQJinDAJbAACspuCJiQQk8FgFvBbhNQDQCq1sp2E4/SnFGngNZq2Rg/GUpeeZBvCu+kjdjEmt2HBal4bHiIkRGDPae05/vdAwII4D7M0myQ6IuuQgbXQ/UAy3idwxImrXqzVLecVZRDu6MR5EkGXmmzd2U1vxff4L9cTN4ZkYgVmQhPmIAIv2EpdBYFAU1VWhZ/hqCUHjSbMSnTUDRKXNAzS1gsRhYTJ5lKFpQjYPvmD/R7tcBCX3NHXCYp/9VFDHnhMbz6S4YLGwuZJwhNnwQYheehdTHnwJpG1af3k6fNUEZ9I1mLdhABRjNW1BlNWMTxVFP8txfL2XgwrsF0O7gOKqGv6SkBCUluS8/mDNnDqLRKFavXo1TTjkFALB69WpEo1HMmTPHmGbChAkoLy/H6tWrMW3aNADAxo0b0djYiPnz5x8y3aONSN8TkN76iXfRxkXWPvw63VOP2NwCe9ceWH16o2TZ+Wj4r0ekNTzA71TRsSNQdO5pYJyhcdt2pOsOgpGNiLcUoBh/5ug4FVonFS64L2KEKcy/Xb4vJTCUtaJ7Zse/qIIZADQ3I/H6akROqUbh4vlo/tty/6vEojyGD0Kkn3NzltWvD1i3UmB/naRI3BsERYU5w2oCAfinXYhZVoNn/F3FG3U7eHMDihZ/Cbw8eCNP8rWVSH/szuhkmyQUlT/hnEgdDhLHMJ5AH5ZCCaXx27SfT3eWRveMy0IZox8ZNhAFtTNh9e1tHF2zkqJMDo7zczKvx/sUz3wnXR1d6ZXYlyWxPeMojGXNeNmW7yBnABKP/hW88HxEhgzU0sdGDUV8RhPSn+0CO7gDLEHOfeucIzKwD+IzpyA63DGa0cH9ER3cX0ofGTMCqQ2btD0QDmwwDudWuhiD1VwHZhcAxIFEErR3HwD/5M1F1n4kwLyPIrmtmAEYx5qxFxHn2GRmelhe44V2MoQVxBHtOxhWRbk0qrR37oHpQwXOYF92AqTRP8uEG0ed+qwVeYRY5qy9LB91ndtL29ICe/vnAMr8lw2NaH3qOVAiidj0Kd7reHUlKJVG64qVAGW+yWHbgGWhYH414tMmODQtC6yk2JAbMhte4dw/orVRh2nxEh8XHCSUwK0tX/cIfi+G8ASWsv0oERe1bBtWRTl4cSFiY4YbeRPBe3SXnk/kDRiBFvTWjgQKaTyhM1h9K5yljU6ITrHG36NHD3zta1/DT3/6UyxYsACMMdx999342te+hu7dHcHv3r0bU6ZMwa9+9SssWrQIlmXhO9/5Dn7xi1/gkksuQVFREe68804sXrwY48aNy5tuR0Ns6ni0vvqm92wxoIo3YqVdjBPVo0OZ9bBIn94o/dYVaH5+BRLvfQBk1mFZaRcUzJqKWOVE71hKbPI4NH/4kbe5inubXhgsSmZ6ntyZGZxRdQ1vwMu2eO0tgZj6FfHMlCEHFrJ678thJoWVen0l0mMGIz5tPCL9T0DryjVIbd2WMYCDEE92AxPO0TLOUHjaXDQ9+KREU9yLIGIGb8I43uRNZRrBGZJvv4v4wrnGYEokkVjxvwBKtbAII6RILZk/j9KbJdE7o8m6s6RzAU5a5xOAc5KgvAeKz18EFg/+JobVvy9YaVegzpm1KWKESUz8VGzmWBJznQMZp/J6bKEYBrFWJE18AAARWh58HEVXXQ5eppebxeOIDO6P4hFTUDawWyCvJhSdtRBNyaRzFM3V8nZm2hwEbtug1lYg0ZzZiBG8TyPC3EuMdNRkjiJSpjzEGGBFwDIzal5ZM7D6VqB47kmwth7QaIkX+IhLKBYcGYt7WFTEpk8G7dsvvevLktiBKAZ4l+sw7//IyKEoWjwf1NqK1tfeQvLtd+EfnctvxCwi8feXEZ041ps5YoyhcO5MxKsmIrnuA9iNTeBdSxAdOwK8sCAHNQfpj7eD2Xam7+tgAHqyNE6yDuKFdBfpPYeNQawFr6AYJe4G1MzFUKyoGNTsXw/dRey3jDkzMcPzn6nlJ/QCryiHvXOPs0GYAX2Q8mamAsEYEImg8PT5eefV0dApDD8A3HHHHbjhhhtQVVUFAJg1axbuuOMOL9y2bTQ3NyMpeM/XXXcdGhoaMHv2bESjUQwfPhy///3v20QXAH7zm9/goYcewpo1a7Bx40bU1tbihhtuwKJFi45UcQPBu5UiXl2F5Cu+8Z/GmzGZNcuftYxFwcv9mQBWEEfRmQtQdOYCUEsryCawwrg2arRGD4MVYaC0PFUJOEdxbEOHKEUas7izFlgEG/9td0WXzCUxoGAFYPoenRyBI7HybRQO6Aurd08ULZY7Gvv7B1qS6IghKFp6NlqefQnYlTlxwGxw0idcGSOUCsqyGAYHwCbY+w8EcYj01k+0KUMX51gH8EhKNXxqif1zwoB4ZlvewxCdMAaFC+dkNfqA4/wUnFqL5of/Kjk+bl4sY/QhceHnFWOE0awVAKEQhEreCAKw2lZGd+k0kqvWIL6gJpiXXFbHlCYWRfFFZyO1fQeS694HtbSAtm0H9uzNjMpNCtldv3enj11nU6HNuaPQSXQWMn+JUHzZ+WBlXZFY+Q4Sa94DNbeAd+uK2LSJiE0eC3yW2YeSSsHevcep90hEGv3HGOFLmYuTXDnP4wdxAiXxmi3PbkbGjkDBwhokXl2J9OatHl9nWnVIw3FcXBeEl/dA0cXn+RsKS4pQdMZ8NH22HenPdwXM3yiFNCGVQmr9+4hOnSC95sVFiE+flCVhMCiR8Ps+GCbwZrxrFzr3KAjsjOSt2ElRrLMLUMn9I5alzMblkT2IgfxNtpwhOmUskh9sdb4PIOohzgBuoej808Gs/LetMcZQeOZCNP7Xw0AqDUbkOYLuCR1e3hPU2uof3QQQGTYIBfNPhNXbMNPaSdBpDH88Hsc999wTGN67d2/s2bNHescYw0033YSbbrrpkOkCwBVXXIErrriibQwfQcRPqkZq3UbQ/jrvnWT0GUN06gRt7c0LLogH6gLasQtIp83h5KhUm3FJy1wY2e/FH8QSON86gFLx62pkIzp9MqyK3rDr65F4dZW37KA6F/68AAA7BXvrJwGcBiM6fDD4l7uA/+xpqLbcQgp2ZizmT4g7GMwSmMKb0Es8FsUZWEHwSMdu8K8fVRVvT8MGJIpGEJ0yAcm31mZGigT1QhIGQgSpzIZDoOC8MxEZMzK/wgOIjh4OLDkDLc++CKr3Z4FYYQF4i7w/wTWYAHmFEKfEq3gTWohhNRTDT4TUhs1ZDf/hINK3ApG+FbB37ELz2+8oofKyENN+20I7YmClXRCvrgIv747mh550ptaV7ywXnHkyrMySUcG8WSiYN0tnigj2x9ucZR1brW2fJ7Xe44wwEi14TZAhi8VRdO4iMM4QnTIeiZf/17sGmDFfMbvliM+bLZ0icGHv3ustvcUM62+W8K43S2Gnuuufc9j17fs9ed7DcXZd3mexBgy1WlGOFJji957IGzCWN3tLWi6K1LIwIDZ9CuInTkfrG28jseodZxOrZSE6fiTisythZVmOC4LVpzeKr7gIrS++htTGD50lFMYQGTUUsbKhiFqOo02trUAyhXjPLig+cVib8+lo6DSGP4QPxhiKLj4PTf/1sNP4RSVGBGtgX8RPqj4k2tQg38Y2kCfwsR3zduN7HjHJ5989Y8GAcmUXOotGUDCv2ptOjE+fgsSa9Ui+9BqQOXURZ2mMZs1IA9hMjqFlAHjDQaTeWI3IjGltKkfq1TeM03XOzYPOl7soEgNSCYn3meptdDYhMm6UL59kCumN78PetANgAA2wJMOTZYLQKefsKsRrZ6Fg7myktn2G9Kq3YW/6UOOVscymO86QWrO2TYYfcIx/ZORQpD/+FHZ9A3hJMdLvb0Jq9Rplk6E/xWoHHPIRL04qED2pdPBaaHshtf59ZKaajOFz+EE8lS7DVOG6V2fpyc7skGewepUhXjURAGBd+xUk/7keqU1bnM1fA/ogNm0iePeynLyk121wZngU+PVO6gsPHOKEPRAZOcRbXuMlxSg4fzFaHvmrk9CW+3N0ViUiowKMTTTi1UN/JDGGNaMHS6MFDE3E0UMwqDN4AwqZjSHCHQCwbfDiwzvBpMLq1RO83wmwt+8QptAdZ1qcmXD7XI9sV2G7G0IXL/Qcn4LamSionek4zpZ12FepW716omjJmaDmFthNzeBFhY6T/OpWoNnhm8XjQDwOXnBsfHo+NPydFLxHNxR9fRmSq99F8p31oOZm8G5liFVORGT8GLBI4En0rGDKZsv5vB7vswIMyygLZxJV/wIgMmNnqQu6nfaMhdLuc1ZYgPjMqUBjE5KvvgnnGk/CfMv5IuDPUwVeXgCQ/O/l4P36gPeTj9EFgWwb6XUbADJPxTEAFgesiaMQmT4Fzfc96MxAqI4CY+D9ToA1ZBAAwP7kUyT+9BhSjSnYtjO6SO/YATBf1l2YsxY9k+tH6qJVkxGbM9MhXRBHdPhgpF9aEeigOJkS7E8/y6vcWjk5R2TwAO85vXa9xpMXF5nd7gyIzq9F8qXXQKmUN2V9hbUbgDCzxB3ZGJFMOs5F+vAvN6HmzIeaMnxHQUgCGJhZ/+7O0rjM2mO8Ec4dcdqbtjg70AsLnCns6krEqyv1BNn4SCSR+ue7AMyzP/7RwYwbyQDEYmDRaMaZzqzDWxwsFgVt+xSpNzisiePBCgsQHTUM/GuXIPnmP5F6fzMonYbV9wTEpk9BJLMZ0oTI2JFI/XMtkHZur5xrurY4w1KUAdOYckyNc0TGts2pzAcFZ5yMpv/8U6YtiBsamdP5GHMcFuk+AACRKFhJkTObyRisYYMRm12JyKD+Wh7OVxHbD6ywAFae+xg6O0LD34nBi4sQr5mBeM2M9qPZtwKsezdvw1EBI0xkmQ01woCmAgn0ZQmUqHe+M8vrzNaAvojVzjTu/gaAaOVEJN9YDZYUlgWMTHEk31iN+Hln5FcI4bY8ADiBJbFZOZYDIqC1FVavchQuuwAtjzwFqj/orNdmZjSsoYNQcO7pYJzB3n8Aid8/nFmiiEgbwEhQXuUsidOsevgX3zhOUrRvb8SqJul3e1syX2N5MxrA0VOcNWmn66JZj+5Guy85cQUFiM2aBmtAH7T855+8ONq3D2xCbPpk6VV6wwdIrXgdqU8c2SfeSSA5aywi1TPAouZlp1zgPbpJxuFiay/2IoK+SALIfARH4M3dGd5f+eoctTiG/1CR/nBrZvd9MA3/Y0POU+G1XwUriCP595dgr/wneJqAdApoToGam5F6bjlSK15DbNmF4L17werVE9biBcDiBXnzFZsxDal31gN2Oni6KcuAOHridLB2HvEDgNW7HMVXLEXrS68htf4Db93cGjUU8bmzwSIRtL7yBlJrNzoOQCSC6KSxiJ04Hby0q3NsmfEOcRc+NTWBdu129nZ0LwGNK5c2FXdGhIY/hATGGGKnnoTWBx8zhnu78hlwjiXvRgZjiNRMR2TyeOd8b1H2zsFLu6LgwnOQeODh7LuPbRv21o/zL0Q0ChQWIjO7iD4sibFWs/D1swy7mTO4Vr8TUHTtFUhv3gr7852AZcEaMRRWL3/GIP3Gakdpq1PyEDfPuXA+5iOG0WefIfnzX8OqqUZkrn9U1Bo+1BnRZ+jOtZT1Vs5gjWifNcXIpHFIvviK9t7jnzFEp010ZgoG9ENsXjUSL77qzdy4cUCE2NzZsAb082ik/ncVUs8tz6yZO9e2spYWpF9+DfaWjxC75MvCd+zbwPOEMUj8zz+8/IsYoRD+HgxyjX8Gl1h7sYsiGCwafssCKzYfPcsbLS3S42Deiq12HKN5MzZkbsLsw8RzEARKJJB69n9gr3sP0E53ZNDcgsQf/oz4tf96SCNYXt4DBReei5ZHngKaAy6TiUbB4jF5GS8aRWzODESrp7c5z7x569kdhecvBi1uBTU1gxUWSM5X4Vmngk4/GdTa6uw7EpxgZh3ajGW7wrZhb3gftHOXtxckvT2BxAevI3LqybCmTc5BoOMiNPwhNESGDwEuPBeJZ5eDDvgbCFlxEdAYcKNV5ohLtHJy4PleY15DBiJVUe5sKsxgMGtFEzh6BH0WOAcYY4hMmwS89KE3CurPlbPSRIhMHu+n4RyREUOBEUONNNPr3gtcZ/ZnPDJ7LIQ1S0/dZwxX+uVXwbp1gzXJyTsyZQKSr/4vkDQsNWQQnT41W3HzBu9SgtjCeUg894LCPwDGwHp0R3S2bwhiNTPB+/RG8vVVSH/0qUNjYD/EZk1zZOUW7UAdUs8vl8rpBxJo26dIr3wLkdltNzKsuAixU09C4pm/S/x6uViW45BlUMJslIhGnzNYE8YEbnTNm49u3aTnBbwe21kU/VkCU3kTdlFE+pATLAv02eeO0c8GIqChAfb6jbAmjjsk3iJDBqL43/4VqfUbkdr2OVBf70y+dSmBNaCvs0clEkH6422gffvBCgpgDRuc84RIe4EVxLWLprywiAUWaf8Zh/ZAev17zkgfEBxfAOk0Uk//N1BUCGvMqMD0HRmh4Q9hRGTEUFjDhsD+dDuo/iBYcTH4wH5Ir9uAxOPPOJHEUWAkgvhF57XJ6Luwhg9Fauduj94iq066rAPcWetrE/+zKsFe/9TZjWsKr5kN3r2bMcwI4ZioeoWuv5vcPU+dHelXXgOfOM65lrqkGPGLvoTWBx+VjwVmjhPFzjsDvHf7fQ46OmMqWJcSJF5+HdjuvOMRC5FpkxGbW61Nh0eGD8l5Njr19jvIurWRcMiGH3D2RrDiIiReehW0ey8AgFkc1vgxiM2fg/S6DUg+96KekDOgsAjRuYe20VUiNaAf0KUEqAOQ2UHvziqUIY0ycTaJM1jjx8Besza/HZ+MIb3lo0M2/ADAYlFEJ49HVHBmVUQGDwCEPR8hgkH7D4C2fw6oS4QC0i+tAB898rA3Fx4NhIY/RCAYZ9J0LgBEJowF798XqdVrYH/8qaPkhg5GZOrEQzL6AGBNm4TU6yulXeJSX7KpTbv67TXvIP3ya2AtMaifo2ClXRGdMxPWlIlt4pGV98woAudSnIutPdJnU130YUnZaTGA9u5zLtjJXH5jDeyHwmu/htSatc5ask3gA/ohMnUieNcuwYQOEZGxI2GNGYHIU2uAVBoF0wYhPujQzyTT7r3G2YoCQT50oA6UTh/yFK7LM+07AEokwLuVeaNIPrMSrKgQyRdf9WeoGAMfOQyxU+aDl3bNQjk/MM4QrZ4JPPMmjNdWehEZUFCAaO1sJB74k7QvRsRg9YNLnfQrb8cq0hvez+m00e49wL79gHIDYGdAaPhDtBm8WxliC2rbj15ZKWIXnIXEn590FKBrRHjmONOZp4GfUJGVhov0P1bAfmkFAIChAgw2LErBQgqsRw9ErrgM/BC+oRCpmork43/znsuU/QJLrT34hGIYp+yaHspb8aEdxyTlvbtj3gUrKkR0VhWis6razFtbYb+3Afarr4Ey2ybow5WwqyeBzZh+aIY5FnU2IGaM10m8Dp9RDMPFGwPFj/EcIhhjYD3MszSRieNgjR8L2rXbcQy6dztkRzQIvE8FIpPGOV9YbNpljjNkEGKLFoCXlYIVxkGZbTAxRphtHQQBmMia5K8/EoH373xfeDumkUhAdNd6syR2UhSjebMUzbusqJMhNPwhOgSskcMRv+qrSK/6J9KbtzjKcNAARKqmSDcQAs7RKlq7Dva7W5ydtp8Wg7pNBeJxz+iLYAA4EbB3L+jN1cCc2W3mj48fA/7e+7A36rcFAkA3lka3zOkHcbR/Kj+AZs5RJF4vGo+DGa66/SJgv/o67OUvZJh0nCnW2AT77y8AWz+G9eUL2nT7GQBYY0Y609oZjOEtGAPZ6PMxR35KlHEGVtErd8RDBoGVdkVk8ngUVM53NssVFQINjUAiAdajB3g3v16t8WOR+myH9zwl6ItvsRisCYc+zR/iCKBHd2kW6yxrP/Yhgt4QL/fiR60fHy5Cwx+iw4B3KwM/eS6iJ88NjEP79yN9/x+AujogmTlH3rgb6d/8E9S3r7wDXUtMsFe9BesQDD/jHNEvnY30G6uQemMVkOW2M/WCkiLId4pb0ya3+xnkfEB79jhGH5Bk5H14ZPNm0Jo1YFOnGFIHgw8fCta7F2j37sANkJHq9jty2hHAy0q9pRoE7BWxJk9wlrAOZrkZz7IQXXJu4Oa3EF88aOtW4MUXAfibH2OMUCEZfQY+dnSnPdYXGv4QnQZkE9IP/snZtSwHOH8/3Q7ToWXJ8NbXg9J2m0e1gLOhLDJ7OqyZVUBjI4gxpNesRXrF694NhABzjgnW1zt8iYaQAaxvH1g1J7Y57/aA/dY/jY6RtJ1i5SrwNhp+xjlilyxB4sFHQJ/t8Kf0bRuIxRD90ll5L9UcS2AFBYhddhGSf3rMWQ9WjkXy8WMQqanWvhIX4uiBPv4E9h8eBLNtMATMHjEGFJcgsmDeF8tcOyI0/CE6DejDD52PteSJU/gB7EAUw8S15kgExmve2gDGGdClxFlCqJ6ByPSpzj0DrQmwHt3B+1TA3rMX6dffhL1uvfNZ2m5lsCqnwqqccsiX2RwuaNcu42yIeCUvdu/RwvMBKylG7IpLQR9vQ/r9zUAqBXZCb1jjRoPFjo1rTg8FvHs3xL7+L7C3fgz7o08AEPjAAeCDB3WIy2lCyLD/5+/S5VzOR5/keuITxyNyUi1Yl9yflO+oCA1/iE4D+nCLtIksF0bwFoxQ1prZuDHtvtbMolHtkh3eswf4GacBZ5wGIuoYR35iMWnUWWPVYTdFMVA8f34Il+y4YIyBDRoAPig8MiaCMQZryCDv6ucQHRO0dx+wfbv0zr2EyxKO8PLBAzq10QfUs04hQnRkKKPV0ZnNUlO4+GGdgLN0jAGcw6o2fHXtCKNDGH0AfPQoSYaTeBMWWHXCfQkcbMyYo8NcR0dzM7BuPbBxI/DBB86/8AjesYUGeS+G6xAXMNu7q4Mxln3PRidBOOIP0WnA+vUFvbnSe17A6zCXrZogoAAAFyFJREFU13n3yDMGUEkx0LMXsPUj7xIc2DZQVATrgnPByg/9vHpnBxszGnjpZeDAAfMGSMbAZx5bm/DaBe+9Bzz+OJAoAOzMhr6HVgO9egFLlwJdD/+egBAdAF3kOzOqeT26sySGikuFRFq8zojQ8IfoNGCjRwFFRc7oi5yvkamr5daMGeDVs0Cf74D9/iYgnQI7oQJs5IiOcf/3UQSLRGAtW4r0Hx9y9kqIm/DicfAvnQfWq/1uCTwm8OmnwKOP+o6S6DDt3g384Q/A176mfWwpROcD694d6NcX2O58OyPGSLt/A9Goo4c6OULDH6LTgEUisL58AdJ/eNC5Qlf5cAxGjgDLjFjZCRWwjsOd5LnAyspgff1fQR9+CNq0GUinwfr0ARs/9rjehBeIV5WPFIkgcoz/pk3AqM5vDEIA/OSTYd//gPNgqHM2/6Rjop+Ehj9EpwLr3w/Wv14Je+Uq0Np1jgPQsyd41TSw8ePA2ukTtscyGGdgw4cBw9vnq3/HLGwbeP/94HshAGfWZOPG0PAfI2AD+oNfshT208/IJ4iKisBOmtfmo64dFaHhD9HpwLqVwVq4AFiY/3fLQ4RoM8TrowEMYi1Yga4oEG9hJJI+4BSi84MNGgT+ja8D2z8DHTjgXNIzaOAxtVQYGv4QIUKEMCESAcrKnM2QAHqwFC6P7EQhlN38vY7kNcEhjgYYY0C/vmD9js1vKITzoiFChAgRhOnyp4RLWRox8et8jAGTJ3/BTIUIcXgIDX+IECFCBKGyEhg8WL8bwn1etCg8zhei0yGc6g8RIkSIIEQiwEUXAW+8Aaxc6X8nYuBA4MQTgaFDjy5/IUIcAkLDHyJEiBDZEIkA1dXA7NlAS4tzZv8YONIV4vhFaPhDhAgRIh8wBnTSz7CGCCEiXOMPESJEiBAhjiOEhj9EiBAhQoQ4jhAa/hAhQoQIEeI4QrjG/wWBMjeA1bu7gkOECBEixHEH1wZQtqugjzBCw/8F4WDmG879+/c/ypyECBEiRIijjYMHD6K0tPSo5M3oaLodxxFs28Znn32GLl26ONdBHgLq6+vRv39/bNu2DV3DS0M0hPLJjlA+wQhlkx2hfLKjLfIhIhw8eBB9+vQBP0ofFQtH/F8QOOfo169fu9Dq2rVr2PmyIJRPdoTyCUYom+wI5ZMd+crnaI30XYSb+0KECBEiRIjjCKHhDxEiRIgQIY4jhIa/EyEej+Pmm29GPB4/2qx0SITyyY5QPsEIZZMdoXyyo7PJJ9zcFyJEiBAhQhxHCEf8IUKECBEixHGE0PCHCBEiRIgQxxFCwx8iRIgQIUIcRwgNfyfCE088gWnTpuHEE09ETU0N1q9ff7RZalfccsstmDRpEmpra71/Z555phTn17/+NaZMmYLZs2dj0aJF2L59uxRORLjtttswZcoUVFVVYenSpairq5PiJBIJXHPNNZg6dSqmTp2Kq6++GolE4oiX71CQSCTw3e9+F5FIBB999JEW/kXJo66uDhdffDGqqqowZcoU3HrrrUf1ylEX2eRz6aWXYsaMGVJ7uvLKK6U4x7J8HnnkEZx88sk46aSTUFlZiXPPPRdbtmyR4hyv7SeXbI75tkMhOgXefPNNKikpoY0bNxIR0QMPPEB9+/al+vr6o8xZ++Hmm2+ml156KTD8L3/5C/Xu3Zt27txJRES33norTZo0idLptBfnzjvvpLFjx1JjYyMREV122WV0xhlnSHSuuuoqOumkkyiVSlEqlaL58+fT1Vdf3f4FOkxs3bqVZsyYQZdccgkBoK1bt0rhX6Q8Fi9eTJdeeikRETU2NtLYsWPppz/9aXsXuU3IJZ9ly5Zp71Qcy/KJRqP0/PPPExFROp2mZcuW0fDhw6m5uZmIju/2k0s2x3rbCQ1/J8E555xDX/rSl7zndDpNvXv3pp/97GdHkav2RS7DP2XKFLrxxhu95wMHDlAkEqG//e1vRESUSqWovLycfvnLX3px1q9fTwBo7dq1RES0Z88eikaj9Oyzz3pxnnnmGYpGo7R37952LtHhYe3atbRp0yZ66aWXjIbti5LHu+++SwDovffe8+L84he/oF69eklG4otGLvnkUt7HunzOO+886XnVqlUEgF577TUiOr7bTy7ZHOttJ5zq7yR44YUXUFlZ6T1zzjF16lQsX778KHL1xWH//v14++23JRmUlpZixIgRngzeffdd7N69W4ozevRoFBcXe3FWrFiBZDIpxamsrEQymcSKFSu+oNLkh3HjxmHYsGHGsC9SHsuXL0dJSQlGjx4txdm1axfefffd9itwG5FNPvngWJfPo48+Kj0XFBQAcKafj/f2k002+aCzyyY0/J0Ae/fuRV1dHSoqKqT3FRUV2ppdZ8d//dd/oba2FrNnz8ayZcvw4YcfAoBXzmwyMMVhjKF3795SnEgkgp49e3pxysvLYVlWp5LlFymPLVu2oHfv3lo+Yh4dFbfffjtqa2tRXV2Nb3zjG9i5c6cXdrzJ53//93/Rp08fzJ49O2w/CkTZuDiW205o+DsBmpqaAEC7FSoej3thxwIGDBiAyZMnY/ny5XjllVcwePBgTJ06Fdu3b89LBvnGicViWt6xWKxTyfKLlEdTU5ORhphHR8SIESMwZ84cvPjii3jxxRfR2tqKGTNmoKGhAcDxJZ/W1lbccccduOeeexCNRsP2I0CVDXDst53Q8HcCFBUVAXAaqIjW1lYv7FjA5Zdfjuuuuw6RSAScc/z7v/87CgoK8Mtf/jIvGeQbxzSdl0gkOpUsv0h5FBUVGWmIeXREfO9738NFF10EzjlisRh++tOf4pNPPsGf/vQnAMeXfK688kqcd955OPfccwGE7UeEKhvg2G87oeHvBOjRowdKS0uxY8cO6f2OHTswZMiQo8TVkYdlWRg0aBA+/PBDr5zZZGCKQ0TYuXOnFCeVSmHPnj1enN27dyOdTncqWX6R8hgyZIg0zSnS7Ewy69q1K8rLy73lo+NFPt/5zncQiUTwox/9yHsXth8HJtmYcKy1ndDwdxLMmzcPq1ev9p6JCG+//Tbmz59/FLlqX1xzzTXau88++wz9+/dHt27dMHnyZEkG9fX1+OCDDzwZTJgwAeXl5VKcjRs3orGx0YszZ84cRKNRKc7q1asRjUYxZ86cI1W0dscXKY+TTjoJDQ0N2LhxoxSnV69emDBhwhEt5+FAbU+tra3Yu3cv+vfvD+D4kM9PfvITfPTRR/jNb34DxhjeeustvPXWW2H7QbBsgOOg7Ryx8wIh2hVvvvkmdenShd5//30iIvrDH/5wzJ3jHzRoED311FPe83333UfxeNw76vKXv/yFKioqaNeuXURE9MMf/tB47njcuHHe2dqvfOUrtHjxYimfq666ihYsWECpVIrS6TSdfPLJdNVVVx3p4h0ygo6rfZHyWLx4MV1++eVERNTU1ETjx4+nO++8s72LekgIkk8sFqNVq1Z5zz/4wQ+oR48e3rl1omNbPvfeey+NHTuWXn/9dVq1ahWtWrWKbr75Zvrd735HRMd3+8klm2O97YSGvxPh8ccfp6lTp1J1dTXNmTOH1q1bd7RZalc8+OCDNHfuXKqtraWZM2dSTU0NrVixQopz77330uTJk2nmzJl02mmn0bZt26Rw27a9i0gqKyvpwgsvpP3790txWlpa6KqrrqIpU6bQlClT6Jvf/Ca1tLQc6eK1Ga2trVRTU0MTJ04kADR9+nTt/PEXJY/9+/fTRRddRJWVlTRp0iS65ZZbyLbtI1LufJFLPvfccw9VV1dTbW0tVVVV0WmnnUbvvvuuRONYlU99fT1xzgmA9s81bkTHZ/vJRzbHetsJP8sbIkSIECFCHEcI1/hDhAgRIkSI4wih4Q8RIkSIECGOI4SGP0SIECFChDiOEBr+ECFChAgR4jhCaPhDhAgRIkSI4wih4Q8RIkSIECGOI4SGP0SIECFChDiOEBr+ECEyGDRoEGpra1FbW4sZM2aAMYZJkyZ578rKyvDRRx8dbTbbFa+++qpX1iNZtoceegiTJk3CjBkzMG3aNOn+8kPFk08+iSeffPLwmTtMnH322bj77rsPi8a//Mu/oKKiApdeemm78BQiRDZEjjYDIUJ0JPzjH/8AAHz00UcYPHgw7r77btTW1gKA9/dYQnV1NR5++GEMHjz4iOXR2tqKyy+/HM899xxqa2vxn//5n+1C1zX6Z511VrvQO1QMGjRI+6Z6W/Hb3/42NPohvjCEhj9EiAyuvfbarOGXXnopysrKvhBejiXs2LEDra2tGDRoEADgK1/5ytFlqJ1x1113HW0WQoRoE8Kp/hAhMsjH8O/Zswe1tbVgjOG3v/0tzjvvPIwfP95zCB599FHMmjULc+fORVVVFf7t3/7N+752Q0MDamtrUVBQgP/4j//AxRdfjMrKSsycORNbt2718tmyZQtOOeUUzJkzB9XV1fjSl76E999/3wtfuXIlTjzxREyfPh1VVVVYsmQJNmzY4IU/99xzqKqqwvTp0zFhwgT8/Oc/l8rx/vvvY/bs2Rg/fjxOP/10rFy5Uivr559/jvPOOw/Tpk1DdXU1li1bhn379gEAHnvsMUyaNAmMMTzzzDNYvHgx+vTpYxx5v/rqq7jgggsAAEuWLEFtba332dH7778fkydPxoknnohZs2bhiSee8NLt378fl112GaqqqlBTU4MTTzwRr732mhd+44034rnnnvNmEc4880ysWbNGW7b47ne/K02hi3Vwxx134OKLL0ZVVRUYYzhw4AAA56ttkyZNQk1NDWpqavDKK68Etokbb7zRWyICgM2bN3vt47777sP555+PiRMn4pRTTvHk5+KHP/whBg4ciNraWtx4442wbVujHySjl19+GWPGjAFjDGeccQYAYPHixSgpKcFFF10UyG+IEADCr/OFCGHC1q1bCQC99NJLxnAAtHDhQmppaaF0Ok2zZs0iIqJzzz3X+8JgIpGgU045hW699VYp7cCBA6myspIOHjxIRERnn302XXLJJV74qaeeSv/+7/9ORM6HQJYuXep9PGTXrl1UWlpKDz74IBERJZNJOuWUU+iuu+4iIqL169dTNBqlV155hYiItm3bRuXl5V78dDpNo0ePpm9+85tERJRKpWjJkiXa1+1mzJhB3/72tz0evvrVr9LChQu9cPeLeDfffDMREW3evJkuvPDCrLIU6T/77LPUo0cP76MwH3zwARUVFdHrr79ORERr166lqqoqSiQSRES0YsUK6tGjh/QRlGXLltGyZcty5mWKN3DgQJo0aZJH7+STT6YDBw7QL3/5Sxo5cqT3/pVXXqGCggL66KOPjGUjIrr55puppqZGegeAFi9eTMlkklKpFE2bNo1uuukmL/yhhx6irl270ocffkhERG+88QZ16dJF4jOXjA4cOEB9+vShG2+8kYicr8X9/Oc/D+QzRAgXoeEPEcKAfAz//fffb0wnftb0V7/6Fc2YMUOKM3DgQPrhD3/oPf9//9//RxMmTPCeJ0yYQJdffrlH5+OPP/aU/0033UT9+/eXvt71yiuv0HPPPUdERJdccgnNnj1byu+aa66hMWPGEBHRc889RwBoy5YtXvjy5cslY/nCCy8QANq9e7cXZ9WqVQSANm/eTES+4c9mEEWZqMb4xBNPpG984xtSvEWLFtHSpUuJiKi5uZm2b98uhVdUVHjlJDp8w3/LLbdovPbv35/uuOMO6d3YsWPpBz/4QWD5ggz/H/7wB+/5uuuuozPOOMN7njFjhuTsERFVV1dLfOaSERHRE088QZZl0f3330/z588/6l9MDNE5EK7xhwhxiOjXr5/2rrGxERdddBE+/vhjxGIxb31bxQknnOD97tKlC+rr673nW2+9FRdffDH+/ve/Y8mSJbjiiiswbNgwAMC6deswdOhQMMa8+NXV1d7vdevWYcKECVJew4YNwy9+8Qskk0ls3LgRlmVh4MCBXviAAQOk+OvWrQPnHOedd573LpVKYeDAgfj8888xdOjQrDLIB+vWrcP27dulDZN79uxBQUEBACAWi+Hhhx/2NvBxzrF//35vmaA9oPJ+8OBBbNu2Db/73e/w9NNPe+9TqRQOHjzYZvrZ6njjxo045ZRTpPimesgmI8DZ2HjWWWfh0ksvxbp166R2ESJEEELDHyLEIcKyLOm5oaEB8+bNwwUXXIAHH3wQnHPcf//9uOWWW7KmZYyBhK9jn3XWWfj000/x8MMP47e//S3uvvtuPPbYYzjjjDOkeCYcbriIF154QSujilzhQWCMYenSpbj11luN4XfeeSd+9KMfYfXq1Z7TM2jQoJz8mwxfOp028qm+c2l/61vfwmWXXZZXObIhWx0H8aqGZ5ORi0mTJuGvf/0rnnvuOYwdO/bQGQ5x3CDc3BciRDth48aN2LVrF84//3xw7nStRCLRZjqPPfYYSktLceWVV2LVqlU466yzcN999wEAxo8fjw8//FCKv3r1ajz77LNe+KZNm6TwzZs3Y+TIkYhGoxgzZgzS6TQ+/vhjL/yTTz6R4o8fPx62bWt0/vVf/xV79+5tc3lMGDdunLRhEQBeeukl3HvvvQCczWtTp071jD6gy9KVMQA0NTUhnU6jS5cuABwnzMX27dvz4qlr164YMGCAxtef//xn/OUvf8mLRr4YPXq0Vo9qPeSSEQBs2rQJb7zxBn7zm9/gpptuwpYtW9qVzxDHJkLDHyJEO2HIkCEoLCzE8uXLATgjzaeeeqrNdL797W/jvffe857T6TRGjhwJAPjmN7+J+vp6PPzwwwAcY3j99dcjGo16aVeuXIlXX30VAPDpp5/ioYcewve//30AwPz58zF69Gj89Kc/9WiLhgQA5s6di1mzZuH//J//4+00f/TRR7Fx40b06NGjzeUx4fvf/z7++te/4p133gHgLJF873vfw6hRowAAY8eOxbvvvovdu3cDAF5//XV8/vnnEo3y8nLs378fAHDeeedh48aN6N69OwYMGOCdANi4cSPWrFnTJr4eeOABzwjv3r0bt956K8aNG3dY5VVx9dVX48knn/QM9apVq7TTFblkRES49tprcc899+DSSy/FrFmzcOWVV7YrnyGOURy97QUhQnRM/Pd//zdNnz6dANDEiRPpZz/7mRf2+eefU01NjRf2/e9/X0r7xBNP0IgRI6iqqorOOussuuyyyygej9O8efOIiKimpobi8TiNHDmSHnzwQXr44Ydp5MiRUpy7776bKisrqaamhqZPn06XXXaZdwKAiOjNN9+k6upqqqqqohkzZtC9994r8fDss8/StGnTqKqqisaNG0f33HOPFL5x40aaNWsWjR07lhYsWED33XcfAaDp06d7pwF27NhBF1xwAY0ePZpqa2vpggsuoJ07d3rymThxIgGgmpoaevTRRwNl+corr3iynD59On3nO9/xwv7whz/Q+PHjaebMmTR79mz64x//6IXV1dXRkiVLaODAgXT66afTtddeSxUVFTRy5Ej6/e9/T0REGzZsoHHjxlF1dbW04e3ZZ5+lkSNH0pw5c+hb3/oWLV26lHr37k1f+cpXtDpw34m48847afTo0VRdXU01NTX0/PPPB5bvhhtuoIEDB1JpaSktWrRIax8vvPAC3X333V4c8eTDD3/4QxowYADNmTOHrrzySlqyZInEZzYZbdq0iaqqqqhHjx70y1/+krZs2UJjxozx5Cxu3gwRQgUjasOiX4gQIUKECBGiUyOc6g8RIkSIECGOI4SGP0SIECFChDiOEBr+ECFChAgR4jhCaPhDhAgRIkSI4wih4Q8RIkSIECGOI4SGP0SIECFChDiOEBr+ECFChAgR4jhCaPhDhAgRIkSI4wih4Q8RIkSIECGOI4SGP0SIECFChDiOEBr+ECFChAgR4jhCaPhDhAgRIkSI4wj/P0mwz86de4rSAAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9f9f'>15665</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>22463</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa2a2'>24301</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8181ff'>18052</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa2a2'>4744</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>13309</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa3a3'>10315</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>13944</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa4a4'>5295</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>17221</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>24492</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>1595</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa6a6'>7607</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8686ff'>18865</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[20][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 300,\n   \"id\": \"f6b004ac-baa6-4506-b3b9-3ee90c299e4c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8c8c'>mentation</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.760</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;a</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.630</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8e8e'>aciously</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.612</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a7a7ff'>&nbsp;an</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.967</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 22463, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 301,\n   \"id\": \"a81b723c-00d5-4921-bd44-84689c164b92\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9393'>DragonMagazine</span></td>\\n\",\n       \"    <td style='text-align:right'>-4.016</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;a</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.588</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9595'>xit</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.935</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>&nbsp;an</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.666</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 18052, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6f7d0493-fcc2-4b13-ac1c-b768fd71a272\",\n   \"metadata\": {},\n   \"source\": [\n    \"\\\"with an estimated length\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e06a55db-71c0-4981-9d5c-32f0ea79d802\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, let's look even further into the past.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 302,\n   \"id\": \"82340294-eda0-4c17-a41c-50381baef6a1\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn1[6]@30: 0.22\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn7[8]@115: 0.16\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn6[4]@115: 0.15\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn3[5]@115: 0.11\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn7[1]@81: 0.11\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn4[2]@78: 0.11\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- attn1[1]@118: 0.098\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn1[6]@115: 0.094\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn1[10]@6: 0.094\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn6[7]@115: 0.089\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn5[9]@85: 0.072\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn5[9]@85: 0.072 <- attn4[0]@83: 0.043\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn5[9]@85: 0.072 <- attn2[8]@83: 0.042\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[23257]@29: 0.038\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- attn1[11]@29: 0.036\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[6214]@29: 0.034\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp2tc[13133]@29: 0.032\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp2tc[19120]@29: 0.031\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[22693]@29: 0.029\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[10661]@29: 0.026\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- attn2[2]@28: 0.025\\n\",\n      \"Path [22]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- attn4[7]@29: 0.024\\n\",\n      \"Path [23]: mlp8tc[479]@-1 <- attn5[9]@85: 0.072 <- attn4[9]@83: 0.023\\n\",\n      \"Path [24]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp2tc[13133]@29: 0.032 <- attn2[9]@28: 0.02\\n\",\n      \"Path [25]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[6214]@29: 0.034 <- mlp3tc[20953]@29: 0.018\\n\",\n      \"Path [26]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[23257]@29: 0.038 <- mlp3tc[3436]@29: 0.016\\n\",\n      \"Path [27]: mlp8tc[479]@-1 <- attn5[10]@29: 0.086 <- mlp4tc[23257]@29: 0.038 <- mlp3tc[3436]@29: 0.016 <- mlp1tc[393]@29: 0.0088\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=20,\\n\",\n    \"                                 filter=FeatureFilter(token=119, token_filter_type=FilterType.LT))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 303,\n   \"id\": \"04e146a2-4db6-4bb0-b2a8-366d8e558591\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb3b3'>2081</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>12475</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb4b4'>11627</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>20334</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb5b5'>20850</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>16996</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb6b6'>16134</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a7a7ff'>14789</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>2993</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a8a8ff'>19037</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>1459</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a9a9ff'>6204</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>14692</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.001</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ababff'>19375</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.002</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[14][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 304,\n   \"id\": \"8bdffd99-2eb6-4f44-9b47-769c1fc28486\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcbcb'>hran</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.819</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;remaining</span></td>\\n\",\n       \"    <td style='text-align:right'>+11.109</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcbcb'>GET</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.801</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b5b5ff'>&nbsp;remainder</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.136</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 12475, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 318,\n   \"id\": \"fa8dc561-3dae-46b4-bdb1-86b12ac0a2bb\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>voy</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.477</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;entirety</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.895</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>&nbsp;prejudices</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.438</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9898ff'>&nbsp;remainder</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.001</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 16996, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"94ca101d-5994-4169-a98a-adf3bd7213fd\",\n   \"metadata\": {},\n   \"source\": [\n    \"We see some \\\"remaining\\\" and \\\"remainder\\\" stuff again -- but way in the past.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bdae7bc4-35fe-4648-882f-52a097a739db\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Current hypothesis\\n\",\n    \"\\n\",\n    \"**Current hypothesis:** I dunno, man. \\\"Remainder\\\" in context and \\\"estimated\\\" as previous (or antepenultimate) token?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e76701b1-e438-4822-ac00-eafe2f11feda\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input 7589, 89\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 324,\n   \"id\": \"c98a4a3f-c698-4e18-b4ba-fbb0d0187a4e\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = owt_tokens_torch[7589, :89+1]\\n\",\n    \"_, cache = model.run_with_cache(prompt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 325,\n   \"id\": \"eca4c097-aac4-4f3d-b1d4-ccd28b457a63\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn8[4]@87: 2.9\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn8[5]@87: 2.5\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- mlp3tc[23550]@89: 2.2\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn6[11]@87: 2.1\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn7[0]@87: 2.0\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- mlp7tc[671]@89: 1.8\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn3[11]@87: 1.8\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- mlp2tc[5166]@89: 1.6\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- mlp6tc[2484]@89: 1.3\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn7[4]@88: 1.2\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- mlp7tc[14110]@89: 1.2\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn8[4]@87: 2.9 <- mlp3tc[16179]@87: 0.51\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- mlp2tc[5166]@89: 1.6 <- mlp1tc[12852]@89: 0.47\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn3[11]@87: 1.8 <- mlp2tc[11150]@87: 0.42\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn7[0]@87: 2.0 <- mlp6tc[20620]@87: 0.4\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15)\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 326,\n   \"id\": \"b0c3fc74-13cc-42ea-9000-21a29430274d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb7b7'>6927</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>22324</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.012</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>15409</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>14150</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>14659</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>10080</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>3211</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>2523</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>2262</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>23485</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>13121</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a7a7ff'>8762</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>15938</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a8a8ff'>1898</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[13][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 266,\n   \"id\": \"04f70118-da0d-41ce-b65c-209a229958fe\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb9b9'>matter</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.469</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.297</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>lear</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.198</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;Estimated</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.829</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 22324, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"77bf9682-824d-4473-aebc-0928a5a217cc\",\n   \"metadata\": {},\n   \"source\": [\n    \"Once again, \\\"estimated\\\" two tokens ago.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 327,\n   \"id\": \"b839b4da-0cd2-4c9b-8c07-a69ebd4bf94b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>17529</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.006</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>923</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.026</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fed1d1'>22583</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9d9dff'>18045</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.019</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd3d3'>6873</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #bdbdff'>16593</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.010</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd3d3'>22341</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c4c4ff'>14112</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd3d3'>18378</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c4c4fe'>7940</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd3d3'>21194</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c5c5fe'>20816</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fed3d3'>19491</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.005</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c6c6ff'>22710</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[14][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 328,\n   \"id\": \"7175adb5-c3e8-430d-8bf3-51ee24bc7902\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>mares</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.328</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;revenue</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.146</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>eln</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.025</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>venue</span></td>\\n\",\n       \"    <td style='text-align:right'>+8.149</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 923, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"54732c2e-eab4-45bf-ae1f-c8dde613cd7a\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now it's \\\"estimated revenue\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 329,\n   \"id\": \"95d89d81-f558-4675-9de4-f4f7120a4cc9\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn7[4]@88: 1.2\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn7[8]@88: 1.1\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn5[2]@88: 0.96\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn4[11]@88: 0.95\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn4[9]@88: 0.8\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- attn3[6]@88: 0.66\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn6[11]@88: 0.64\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn8[4]@88: 0.58\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn5[6]@88: 0.52\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- attn8[7]@88: 0.51\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn6[8]@88: 0.45\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn3[7]@88: 0.27\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn2[4]@88: 0.25\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- attn3[11]@88: 0.23\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4 <- mlp7tc[14110]@88: 0.34\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4 <- mlp7tc[3164]@88: 0.23\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- attn4[11]@88: 0.95 <- mlp1tc[14473]@88: 0.21\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4 <- mlp7tc[8696]@88: 0.2\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- attn5[2]@88: 0.96 <- mlp2tc[22263]@88: 0.15\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- attn3[11]@88: 0.23 <- mlp1tc[14473]@88: 0.13\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- attn8[5]@88: 4.4 <- mlp4tc[22640]@88: 0.12\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                filter=FeatureFilter(token=88))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 330,\n   \"id\": \"f2d346e2-f2be-4134-bfd7-4c7706b6f97e\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>18238</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>4746</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.011</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>10048</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a9a9ff'>10709</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.006</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffcfcf'>23449</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b8b8ff'>15853</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd0d0'>9532</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b8b8ff'>1818</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd1d1'>7549</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #bcbcff'>9958</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd1d1'>6164</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c0c0fe'>4027</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffd2d2'>8226</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c5c5ff'>1436</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.003</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[17][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 331,\n   \"id\": \"89c4f2d4-d031-4475-b43e-c1102acab567\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb4b4'>edin</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.889</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;annual</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.464</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>oldemort</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.491</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9696ff'>&nbsp;yearly</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.963</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 4746, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"49d5a76f-01ad-4f2d-99ec-77095533ee82\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Earlier tokens\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 332,\n   \"id\": \"2fb967c3-d9b6-4f96-a576-6c332ee5a6dd\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn6[11]@86: 0.79\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn3[2]@86: 0.63\\n\",\n      \"Path [3]: mlp8tc[479]@-1 <- attn5[10]@71: 0.53\\n\",\n      \"Path [4]: mlp8tc[479]@-1 <- attn4[1]@85: 0.52\\n\",\n      \"Path [5]: mlp8tc[479]@-1 <- attn4[0]@85: 0.47\\n\",\n      \"Path [6]: mlp8tc[479]@-1 <- attn3[8]@85: 0.42\\n\",\n      \"Path [7]: mlp8tc[479]@-1 <- attn5[3]@85: 0.41\\n\",\n      \"Path [8]: mlp8tc[479]@-1 <- attn5[10]@81: 0.37\\n\",\n      \"Path [9]: mlp8tc[479]@-1 <- attn7[9]@86: 0.37\\n\",\n      \"Path [10]: mlp8tc[479]@-1 <- attn5[3]@71: 0.36\\n\",\n      \"Path [11]: mlp8tc[479]@-1 <- attn8[7]@86: 0.33\\n\",\n      \"Path [12]: mlp8tc[479]@-1 <- attn8[4]@86: 0.32\\n\",\n      \"Path [13]: mlp8tc[479]@-1 <- attn5[4]@86: 0.31\\n\",\n      \"Path [14]: mlp8tc[479]@-1 <- attn4[1]@86: 0.31\\n\",\n      \"Path [15]: mlp8tc[479]@-1 <- attn3[8]@85: 0.42 <- attn2[3]@83: 0.12\\n\",\n      \"Path [16]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- mlp4tc[23699]@85: 0.11\\n\",\n      \"Path [17]: mlp8tc[479]@-1 <- attn6[11]@86: 0.79 <- mlp5tc[6568]@86: 0.11\\n\",\n      \"Path [18]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- attn4[3]@81: 0.11\\n\",\n      \"Path [19]: mlp8tc[479]@-1 <- attn5[4]@86: 0.31 <- attn4[7]@86: 0.097\\n\",\n      \"Path [20]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- attn6[0]@71: 0.094\\n\",\n      \"Path [21]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- attn5[2]@82: 0.09\\n\",\n      \"Path [22]: mlp8tc[479]@-1 <- attn3[2]@86: 0.63 <- attn2[5]@85: 0.089\\n\",\n      \"Path [23]: mlp8tc[479]@-1 <- attn3[2]@86: 0.63 <- attn2[9]@84: 0.086\\n\",\n      \"Path [24]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- attn5[2]@82: 0.09 <- attn4[0]@71: 0.037\\n\",\n      \"Path [25]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- mlp4tc[23699]@85: 0.11 <- mlp1tc[22167]@85: 0.031\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                filter=FeatureFilter(token=87, token_filter_type=FilterType.LT))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 333,\n   \"id\": \"fb4a5bfe-969b-46d0-9463-3ecf866079ad\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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     \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>10677</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>7340</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffafaf'>15961</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>10924</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>11626</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>14503</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb1b1'>12647</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>8180</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb1b1'>24036</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>19185</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.009</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>3440</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>9549</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb2b2'>4829</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.004</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>9450</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.008</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[16][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 335,\n   \"id\": \"3ddc5a37-2c3a-4258-9600-d294e0ac6710\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9d9d'>../</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.443</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;with</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.002</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa0a0'>qv</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.339</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>with</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.796</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 10924, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 336,\n   \"id\": \"4eb18f40-e9ea-4d88-ad34-8d6db61f6b94\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffacac'>24339</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>1595</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffadad'>8485</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>22463</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.005</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>22805</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>18052</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffaeae'>4031</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8484ff'>17221</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>8284</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>775</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>21917</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8a8aff'>13309</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb0b0'>7811</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.002</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8c8cff'>10105</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.004</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[17][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 337,\n   \"id\": \"e584edd2-3d09-44ef-ab67-74493a3f8b22\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9797'>owe</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.998</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;a</span></td>\\n\",\n       \"    <td style='text-align:right'>+4.446</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9898'>eem</span></td>\\n\",\n       \"    <td style='text-align:right'>-2.963</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9d9dff'>&nbsp;an</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.648</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 1595, k=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a866d393-860c-47d6-91fc-12a291cd749f\",\n   \"metadata\": {},\n   \"source\": [\n    \"Wait -- we've seen this before in the previous input! \\\"with an estimated length\\\" back then; now, it's \\\"with an estimated annual revenue\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 338,\n   \"id\": \"8b4d7fa6-e0d8-4e9e-8f3a-a89bf9762815\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7878'>13389</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.035</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16930</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.031</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7b7b'>3296</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.033</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>1126</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.031</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7d7d'>21074</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.032</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>7799</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.031</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8080'>5404</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.030</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>13263</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.031</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8181'>18497</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.030</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>12392</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8282'>22901</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.029</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>10919</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8282'>502</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.029</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8181ff'>9528</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.030</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[2][-1], transcoders[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7d5d6cce-5d87-4ebe-be4a-36c48ede463b\",\n   \"metadata\": {},\n   \"source\": [\n    \"Yep, most of these attention features tend to have uninterpretable pullbacks. So let's only look at transcoder features\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 341,\n   \"id\": \"09364e47-dcf2-4421-8421-862b1e673a02\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- mlp4tc[23699]@85: 0.11\\n\",\n      \"Path [1]: mlp8tc[479]@-1 <- attn6[11]@86: 0.79 <- mlp5tc[6568]@86: 0.11\\n\",\n      \"Path [2]: mlp8tc[479]@-1 <- attn7[9]@85: 1.3 <- mlp4tc[23699]@85: 0.11 <- mlp1tc[22167]@85: 0.031\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, my_feature, num_iters=5, num_branches=15,\\n\",\n    \"                                filter=FeatureFilter(token=87, token_filter_type=FilterType.LT))\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(layer=0, layer_filter_type=FilterType.NE)])\\n\",\n    \"all_paths = get_paths_via_filter(all_paths, suffix_path=[FeatureFilter(feature_type=FeatureType.TRANSCODER)])\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"cf8efbad-15ac-4e8f-a042-c8af6ffd3b05\",\n   \"metadata\": {},\n   \"source\": [\n    \"Oh, it's just the same one from before.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"93ad2b91-161b-461a-96ac-770871113ad9\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Current hypothesis\\n\",\n    \"\\n\",\n    \"**Current hypothesis:** feature fires on phrases like \\\"with a total estimated ___\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7bae3fa5-2510-46c7-8155-6b231c64415a\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Moment of truth: confirming/denying our hypothesis\\n\",\n    \"\\n\",\n    \"**Final hypothesis**: feature fires on phrases like \\\"with a total estimated ___\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 342,\n   \"id\": \"5e7ce7ac-9524-485d-aad7-e69d1c684fb2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<h3 style='font-family: serif'>Sparsity: 1.5821%</h3>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 12.43 and 14.92: 0.0001%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> San<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Francisco<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> facility<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc784'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (5.95)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (8.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> cost</b><span class='feature_val'> (12.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> million<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span> Example 6798, token 102</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 9.94 and 12.43: 0.0020%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> billion<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> truth<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> likely<span class='feature_val'> (0.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc279'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> somewhere<span class='feature_val'> (6.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa12f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> in</b><span class='feature_val'> (10.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff6ec'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (0.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 5915, token 124</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ultimate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffebd4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cost<span class='feature_val'> (2.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef9f3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> crisis<span class='feature_val'> (0.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9e29'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> estimated</b><span class='feature_val'> (10.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9412'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (11.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff910c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (11.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff991d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> totaled<span class='feature_val'> (10.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd39d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> around<span class='feature_val'> (4.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.46)</span></span><span> Example 12594, token 122</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Estimates<span class='feature_val'> (4.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc075'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> attribute<span class='feature_val'> (6.72)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Georg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>es<span class='feature_val'> (0.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Vu<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc278'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>itton<span class='feature_val'> (6.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c24'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> with</b><span class='feature_val'> (10.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee1bd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (3.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 700<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> new<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Vu<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>itton<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> designs<span class='feature_val'> (0.00)</span></span><span> Example 3313, token 75</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>With<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (4.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa941'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (9.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff900a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> length<span class='feature_val'> (11.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff991e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> of</b><span class='feature_val'> (10.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe6f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (7.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0ba'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (3.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 250<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meters<span class='feature_val'> (0.00)</span></span><span> Example 668, token 123</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> January<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2015<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdaad'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (3.97)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb358'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (8.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9618'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> cost</b><span class='feature_val'> (11.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (8.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> €<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>46<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> million<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span> Example 2979, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> January<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2015<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (3.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (7.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9616'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> cost</b><span class='feature_val'> (11.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb050'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (8.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> €<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>46<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> million<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span> Example 2227, token 53</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bronx<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe4c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (2.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb861'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (7.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c24'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> annual<span class='feature_val'> (10.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff930f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> revenue</b><span class='feature_val'> (11.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc784'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (5.95)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> billion<span class='feature_val'> (0.00)</span></span><span> Example 7589, token 89</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> excavation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>With<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (4.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa941'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (9.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff900a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> length</b><span class='feature_val'> (11.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff991e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (10.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe6f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (7.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0ba'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (3.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 250<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meters<span class='feature_val'> (0.00)</span></span><span> Example 668, token 122</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffbe6f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> peak<span class='feature_val'> (7.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec680'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (6.15)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef4e8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (1.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcc8f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pile<span class='feature_val'> (5.45)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb357'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (8.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9d27'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (10.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff900a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (11.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8f08'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> be</b><span class='feature_val'> (12.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd5a3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> about<span class='feature_val'> (4.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> feet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tall<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 3511, token 64</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> San<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Francisco<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> facility<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc784'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (5.95)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (8.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> cost</b><span class='feature_val'> (12.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> million<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span> Example 6798, token 102</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 7.46 and 9.94: 0.0123%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> balloon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef7ee'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ing<span class='feature_val'> (0.80)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6ec'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> budget<span class='feature_val'> (0.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2bf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> deficit<span class='feature_val'> (3.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (5.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcf96'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (5.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc887'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> expected<span class='feature_val'> (5.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> to</b><span class='feature_val'> (7.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbb6a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> hit<span class='feature_val'> (7.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>tn<span class='feature_val'> (0.00)</span></span><span> Example 11718, token 98</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>uvian<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> government<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (4.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (6.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc278'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (6.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> spent</b><span class='feature_val'> (7.86)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff1e1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (1.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>625<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (£<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>400<span class='feature_val'> (0.00)</span></span><span> Example 2093, token 17</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cross<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>It<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc57e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimated<span class='feature_val'> (6.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb358'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> to</b><span class='feature_val'> (8.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa02c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sell<span class='feature_val'> (10.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9310'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (11.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe70'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (6.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> £<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 8264, token 77</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>available<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee3c1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> approaches<span class='feature_val'> (3.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> technologies<span class='feature_val'> (1.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (8.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (6.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> the</b><span class='feature_val'> (8.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed5a2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> neighborhood<span class='feature_val'> (4.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd8a9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (4.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> million<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 6341, token 114</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Human<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Growth<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> H<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>orm<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>one<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb458'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> costs<span class='feature_val'> (8.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> an</b><span class='feature_val'> (8.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffca8b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> additional<span class='feature_val'> (5.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef9f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> £<span class='feature_val'> (0.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>120<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>150<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>…<span class='feature_val'> (0.00)</span></span><span> Example 54, token 113</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> American<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Policy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> study<span class='feature_val'> (1.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff1e1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> found<span class='feature_val'> (1.46)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ed'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (1.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac48'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> many</b><span class='feature_val'> (8.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9ce'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (2.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 70<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> percent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span> Example 6793, token 123</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>market<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdfb9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimates<span class='feature_val'> (3.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (1.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcf95'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> figure<span class='feature_val'> (5.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb75f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (7.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaa43'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> be</b><span class='feature_val'> (9.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffefdc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> even<span class='feature_val'> (1.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> higher<span class='feature_val'> (2.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (2.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>About<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 70<span class='feature_val'> (0.00)</span></span><span> Example 10444, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> average<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> non<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>air<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff9f3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>fare<span class='feature_val'> (0.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> financial<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> assistance<span class='feature_val'> (4.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> was</b><span class='feature_val'> (9.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (4.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0de'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (1.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe3c1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (3.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>697<span class='feature_val'> (0.00)</span></span><span> Example 7058, token 112</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> member<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> countries<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.71)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> British<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> teachers<span class='feature_val'> (2.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb863'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> putting<span class='feature_val'> (7.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa539'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> in</b><span class='feature_val'> (9.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc37b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (6.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeed9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> longest<span class='feature_val'> (1.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed29b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> weeks<span class='feature_val'> (4.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1be'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> –<span class='feature_val'> (3.15)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffedd8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (1.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdaaf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> more<span class='feature_val'> (3.90)</span></span><span> Example 4539, token 99</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> deciding<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> against<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ban<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> out<span class='feature_val'> (0.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (5.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb760'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (7.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa334'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> total</b><span class='feature_val'> (9.89)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa63b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (9.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (8.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 250<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>648<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> votes<span class='feature_val'> (0.00)</span></span><span> Example 2954, token 98</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 4.97 and 7.46: 0.0539%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> panels<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> year<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> beginning<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2009<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd096'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> employing</b><span class='feature_val'> (5.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (6.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef1e0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (1.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> people<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mostly<span class='feature_val'> (0.00)</span></span><span> Example 100, token 19</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Walt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Disney<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe8cc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Company<span class='feature_val'> (2.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe2bf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reported<span class='feature_val'> (3.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (4.81)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> profit<span class='feature_val'> (7.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> of</b><span class='feature_val'> (5.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>39<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> billion<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 7674, token 21</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>oster<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>itt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff9f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>led<span class='feature_val'> (0.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee4c4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> down<span class='feature_val'> (2.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe8cd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (2.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pool<span class='feature_val'> (2.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> to</b><span class='feature_val'> (5.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 20<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cases<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> most<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> closely<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> echoed<span class='feature_val'> (0.00)</span></span><span> Example 1579, token 99</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> testosterone<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> stimul<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ants<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> etc<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec887'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>]</b><span class='feature_val'> (5.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (3.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7c9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> approximately<span class='feature_val'> (2.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> £<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Testing<span class='feature_val'> (0.76)</span></span><span> Example 54, token 96</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fee0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (3.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 35<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feebd3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (2.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffca8b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> loss<span class='feature_val'> (5.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec681'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> of</b><span class='feature_val'> (6.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdaae'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> more<span class='feature_val'> (3.91)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 400<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> full<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>time<span class='feature_val'> (0.00)</span></span><span> Example 1792, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> commanders<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> publicly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> stated<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe3c1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> annual<span class='feature_val'> (3.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> price<span class='feature_val'> (1.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> tag</b><span class='feature_val'> (6.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (3.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (5.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> closer<span class='feature_val'> (7.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (3.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>100<span class='feature_val'> (0.00)</span></span><span> Example 3800, token 82</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> said<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>We<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimate<span class='feature_val'> (4.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> that</b><span class='feature_val'> (6.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> if<span class='feature_val'> (0.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5e9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> we<span class='feature_val'> (1.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> do<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> again<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc783'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (6.04)</span></span><span> Example 263, token 52</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> October<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff4e6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2014<span class='feature_val'> (1.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feefdc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (1.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Royal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee0bc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Marines<span class='feature_val'> (3.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (6.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> a</b><span class='feature_val'> (6.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c25'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> strength<span class='feature_val'> (10.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (8.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feefdd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (1.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>760<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Regular<span class='feature_val'> (0.00)</span></span><span> Example 10701, token 112</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> day<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> early<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Monday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1bd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (3.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> stood</b><span class='feature_val'> (7.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedcb3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (3.69)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> more<span class='feature_val'> (1.80)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>600<span class='feature_val'> (0.00)</span></span><span> Example 2312, token 39</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2012<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>13<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> award<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> year<span class='feature_val'> (1.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (1.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> household<span class='feature_val'> (3.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba68'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> incomes</b><span class='feature_val'> (7.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ac'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (4.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span> Example 8685, token 41</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 2.49 and 4.97: 0.2090%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> first<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> person<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> shooter<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> With<span class='feature_val'> (0.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2bf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (3.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> top</b><span class='feature_val'> (2.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> down<span class='feature_val'> (0.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefdfb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> perspective<span class='feature_val'> (0.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 1954, token 76</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> field<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>8<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> can<span class='feature_val'> (0.46)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (0.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> as</b><span class='feature_val'> (2.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> little<span class='feature_val'> (5.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>cm<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> This<span class='feature_val'> (0.00)</span></span><span> Example 6224, token 9</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> objections<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> poor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> quality<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> products<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> accounted</b><span class='feature_val'> (3.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (4.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 38<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> all<span class='feature_val'> (0.00)</span></span><span> Example 2256, token 30</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> across<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> border<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Overall<span class='feature_val'> (2.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (4.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd8a9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> crossings<span class='feature_val'> (4.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> dropped</b><span class='feature_val'> (3.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (3.63)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>877<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 2706, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> December<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> share<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffefdd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> price<span class='feature_val'> (1.63)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7cb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> index<span class='feature_val'> (2.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcfa'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> futures<span class='feature_val'> (0.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffedd9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> contract<span class='feature_val'> (1.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> was</b><span class='feature_val'> (3.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffca8a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> down<span class='feature_val'> (5.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> five<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> points<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 2226, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> country<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (3.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> average</b><span class='feature_val'> (3.80)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc885'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> elevation<span class='feature_val'> (5.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (4.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>300<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> m<span class='feature_val'> (0.00)</span></span><span> Example 7166, token 38</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fffbf6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> when<span class='feature_val'> (0.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mr<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bush<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> beat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> John<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Kerry<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedaae'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (3.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> a</b><span class='feature_val'> (4.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> similar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> margin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0de'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (1.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 48<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>%<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span> Example 1529, token 24</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> economy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> experience<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> quarterly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe4c4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> growth<span class='feature_val'> (2.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> of</b><span class='feature_val'> (4.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> percent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 4080, token 26</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffd7a7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Total<span class='feature_val'> (4.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> P<span class='feature_val'> (0.72)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ixels<span class='feature_val'> (4.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffead0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (2.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc886'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (5.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedfba'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>App<span class='feature_val'> (3.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feedd8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rox<span class='feature_val'> (1.86)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>.</b><span class='feature_val'> (4.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 20<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ap<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ixels<span class='feature_val'> (0.00)</span></span><span> Example 7225, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> construction<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plant<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffead1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (2.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe6c9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> would<span class='feature_val'> (2.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> produce</b><span class='feature_val'> (4.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ammon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ium<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> nit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff6ec'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>rate<span class='feature_val'> (0.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 900, token 43</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 0.00 and 2.49: 99.7234%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Heat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> get<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Underworld<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> bow<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefdfb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Beck<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ins<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ale<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> could<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> have</b><span class='feature_val'> (0.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> played<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Wonder<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Woman<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> too<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 387, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>comes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bruce<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Miles<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wrote<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> there</b><span class='feature_val'> (0.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> certain<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> vibe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 848, token 109</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> presidency<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> presidency<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> that</b><span class='feature_val'> (0.76)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> paired<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Republican<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> controlled<span class='feature_val'> (0.00)</span></span><span> Example 2165, token 42</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> schools<span class='feature_val'> (1.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> justified<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> original<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> RSS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> faction</b><span class='feature_val'> (1.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> would<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> participate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 1, token 107</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> nationwide<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> poll<span class='feature_val'> (0.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> adults<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> –</b><span class='feature_val'> (1.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> revealed<span class='feature_val'> (0.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefdfc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> three<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> out<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> four<span class='feature_val'> (0.00)</span></span><span> Example 189, token 35</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> including<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> spell<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Manchester<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> City<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> recently</b><span class='feature_val'> (1.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>01<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> He<span class='feature_val'> (0.00)</span></span><span> Example 1394, token 49</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Chinese<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> politician<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fan<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Li<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> credited</b><span class='feature_val'> (1.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> authors<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>hip<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fish<span class='feature_val'> (0.00)</span></span><span> Example 2038, token 113</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ut<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ulus<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feedd7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> typically<span class='feature_val'> (1.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffce93'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reaches<span class='feature_val'> (5.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe70'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (6.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> bladder</b><span class='feature_val'> (2.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd92'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> length<span class='feature_val'> (5.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb75f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (7.78)</span></span><span> Example 867, token 125</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.46)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> razor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> thin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeedb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> margin<span class='feature_val'> (1.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (4.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee8cd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (2.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> just</b><span class='feature_val'> (2.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>220<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> more<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> votes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> deciding<span class='feature_val'> (0.00)</span></span><span> Example 2954, token 85</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_activating_examples_dash(owt_tokens_torch[:128*100], scores, window_size=7)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f6140a22-b07b-41cf-afb7-514924b63027\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Post-mortem\\n\",\n    \"\\n\",\n    \"**How'd we do?** Nooooo -- it was a local context feature! I should've realized this from seeing how it was rarely the current token doing most of the heavy lifting.\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "greaterthan.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"cd3ae05d-bb09-495d-8afe-fae52ed99d5f\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Greater-than\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e096e8e5-3bba-456b-ab84-4571aea3690f\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"id\": \"2bd1544d-2ea4-472a-8446-864fb872b993\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"587bb6de-8af2-4d23-bffe-095b76389a3f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Loaded pretrained model gpt2 into HookedTransformer\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\\n\",\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"model = HookedTransformer.from_pretrained('gpt2')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"eb24f806-aca2-441f-9e11-8de389bbeb90\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"d5bf917d-7bed-4a8a-99d1-284a6a5bda78\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Token indices sequence length is longer than the specified maximum sequence length for this model (73252 > 1024). Running this sequence through the model will result in indexing errors\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ba288f88-eab1-4eac-b49d-1da315133f50\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"fbe4bcef-b637-4689-8390-db66f2285567\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"transcoders = []\\n\",\n    \"frequencies = []\\n\",\n    \"for i in range(12):\\n\",\n    \"    transcoders.append(SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(i)}.pt\\\").eval())\\n\",\n    \"    frequencies.append(torch.load(f\\\"{transcoder_template.format(i)}_log_feature_sparsity.pt\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"42c3b43d-197d-4ed7-8e91-58c34ccfae4c\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Clean up memory\\n\",\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"48171572-00b8-4984-944f-23e69d3e9b76\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Exploratory circuit analysis\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b4270c80-c826-41d6-9919-21fe9932930c\",\n   \"metadata\": {},\n   \"source\": [\n    \"We'll perform circuit analysis on the prompt \\\"The war lasted from 1735 to 17\\\". To perform our circuit analysis, we'll make a feature vector corresponding to the logit difference between predicting the token `40` and predicting the token `20`.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"id\": \"23c82bc7-76ef-432d-8d93-0f3e40f14efd\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def make_one_hot(n, k):\\n\",\n    \"    x = torch.zeros(n).to(device=\\\"cuda\\\", dtype=torch.float32)\\n\",\n    \"    x[k] = 1.0\\n\",\n    \"    return x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"id\": \"7ecdfa86-827b-4fff-b470-3c1275d106ba\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"with torch.no_grad():\\n\",\n    \"    x = make_one_hot(model.W_U.shape[1], model.to_single_token('40'))\\\\\\n\",\n    \"        -make_one_hot(model.W_U.shape[1], model.to_single_token('20'))\\n\",\n    \"    x = model.W_U @ x\\n\",\n    \"feature_vector = FeatureVector(component_path=[Component(layer=len(model.blocks)-1, component_type=ComponentType.MLP, token=-1)], vector=x, layer=len(model.blocks)-1, sublayer=\\\"resid_post\\\", token=-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"2262c769-d118-4ce5-8959-cfc043d278bd\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Getting top computational paths\\n\",\n    \"\\n\",\n    \"Now that we have a `FeatureVector` object, let's find the computational paths in the model that are most important for causing this feature vector to activate on this input. To do this, we'll use the function `greedy_get_top_paths()`.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"id\": \"9eae8064-51a0-4afc-b077-a24e604dba91\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = \\\"The war lasted from 1735 to 17\\\"\\n\",\n    \"_, cache = model.run_with_cache(prompt) # cache the model activations on this prompt\\n\",\n    \"\\n\",\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, feature_vector, num_iters=3, num_branches=15, do_raw_attribution=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"id\": \"f0609770-4133-4d64-a6cc-7d1f4df70890\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp11@-1 <- mlp10tc[21238]@8: 1.6e+01\\n\",\n      \"Path [0][1]: mlp11@-1 <- attn9[1]@6: 6.9\\n\",\n      \"Path [0][2]: mlp11@-1 <- mlp10tc[9647]@8: 5.9\\n\",\n      \"Path [0][3]: mlp11@-1 <- mlp9tc[12072]@8: 5.6\\n\",\n      \"Path [0][4]: mlp11@-1 <- attn7[10]@6: 5.4\\n\",\n      \"Path [0][5]: mlp11@-1 <- mlp10tc[10437]@8: 3.7\\n\",\n      \"Path [0][6]: mlp11@-1 <- mlp9tc[3161]@8: 3.5\\n\",\n      \"Path [0][7]: mlp11@-1 <- mlp9tc[20046]@8: 2.9\\n\",\n      \"Path [0][8]: mlp11@-1 <- attn8[11]@6: 2.8\\n\",\n      \"Path [0][9]: mlp11@-1 <- mlp9tc[4283]@8: 2.6\\n\",\n      \"Path [0][10]: mlp11@-1 <- attn10[2]@6: 2.4\\n\",\n      \"Path [0][11]: mlp11@-1 <- mlp10tc[3413]@8: 2.3\\n\",\n      \"Path [0][12]: mlp11@-1 <- mlp8tc[15542]@8: 2.3\\n\",\n      \"Path [0][13]: mlp11@-1 <- mlp9tc[1167]@8: 2.1\\n\",\n      \"Path [0][14]: mlp11@-1 <- mlp9tc[11883]@8: 2.0\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp11@-1 <- attn9[1]@6: 6.9 <- mlp0tc[17180]@6: 4.7\\n\",\n      \"Path [1][1]: mlp11@-1 <- mlp10tc[21238]@8: 1.6e+01 <- attn9[1]@6: 3.1\\n\",\n      \"Path [1][2]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn9[1]@6: 2.9\\n\",\n      \"Path [1][3]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn7[10]@6: 2.4\\n\",\n      \"Path [1][4]: mlp11@-1 <- attn9[1]@6: 6.9 <- attn0[1]@6: 2.0\\n\",\n      \"Path [1][5]: mlp11@-1 <- mlp9tc[3161]@8: 3.5 <- attn9[1]@6: 1.6\\n\",\n      \"Path [1][6]: mlp11@-1 <- attn7[10]@6: 5.4 <- mlp0tc[17180]@6: 1.6\\n\",\n      \"Path [1][7]: mlp11@-1 <- mlp9tc[3161]@8: 3.5 <- attn7[10]@6: 1.5\\n\",\n      \"Path [1][8]: mlp11@-1 <- attn8[11]@6: 2.8 <- mlp0tc[17180]@6: 1.5\\n\",\n      \"Path [1][9]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn8[11]@6: 1.5\\n\",\n      \"Path [1][10]: mlp11@-1 <- mlp10tc[21238]@8: 1.6e+01 <- mlp9tc[12072]@8: 1.3\\n\",\n      \"Path [1][11]: mlp11@-1 <- mlp10tc[21238]@8: 1.6e+01 <- mlp9tc[3161]@8: 1.3\\n\",\n      \"Path [1][12]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn5[5]@6: 1.2\\n\",\n      \"Path [1][13]: mlp11@-1 <- mlp9tc[1167]@8: 2.1 <- attn9[1]@6: 1.2\\n\",\n      \"Path [1][14]: mlp11@-1 <- attn10[2]@6: 2.4 <- mlp0tc[17180]@6: 1.1\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp11@-1 <- attn9[1]@6: 6.9 <- mlp0tc[17180]@6: 4.7 <- attn0[1]@6: 4.0\\n\",\n      \"Path [2][1]: mlp11@-1 <- attn9[1]@6: 6.9 <- mlp0tc[17180]@6: 4.7 <- attn0[5]@6: 3.4\\n\",\n      \"Path [2][2]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn9[1]@6: 2.9 <- mlp0tc[17180]@6: 1.6\\n\",\n      \"Path [2][3]: mlp11@-1 <- attn7[10]@6: 5.4 <- mlp0tc[17180]@6: 1.6 <- attn0[1]@6: 1.3\\n\",\n      \"Path [2][4]: mlp11@-1 <- attn8[11]@6: 2.8 <- mlp0tc[17180]@6: 1.5 <- attn0[1]@6: 1.3\\n\",\n      \"Path [2][5]: mlp11@-1 <- mlp10tc[21238]@8: 1.6e+01 <- attn9[1]@6: 3.1 <- mlp0tc[17180]@6: 1.2\\n\",\n      \"Path [2][6]: mlp11@-1 <- attn7[10]@6: 5.4 <- mlp0tc[17180]@6: 1.6 <- attn0[5]@6: 1.1\\n\",\n      \"Path [2][7]: mlp11@-1 <- attn8[11]@6: 2.8 <- mlp0tc[17180]@6: 1.5 <- attn0[5]@6: 1.1\\n\",\n      \"Path [2][8]: mlp11@-1 <- attn10[2]@6: 2.4 <- mlp0tc[17180]@6: 1.1 <- attn0[1]@6: 1.0\\n\",\n      \"Path [2][9]: mlp11@-1 <- attn9[1]@6: 6.9 <- mlp0tc[17180]@6: 4.7 <- attn0[3]@6: 0.95\\n\",\n      \"Path [2][10]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn7[10]@6: 2.4 <- mlp0tc[17180]@6: 0.88\\n\",\n      \"Path [2][11]: mlp11@-1 <- mlp10tc[9647]@8: 5.9 <- attn8[11]@6: 1.5 <- mlp0tc[17180]@6: 0.84\\n\",\n      \"Path [2][12]: mlp11@-1 <- attn9[1]@6: 6.9 <- mlp0tc[17180]@6: 4.7 <- embed0@6: 0.83\\n\",\n      \"Path [2][13]: mlp11@-1 <- attn10[2]@6: 2.4 <- mlp0tc[17180]@6: 1.1 <- attn0[5]@6: 0.83\\n\",\n      \"Path [2][14]: mlp11@-1 <- mlp9tc[3161]@8: 3.5 <- attn9[1]@6: 1.6 <- mlp0tc[17180]@6: 0.73\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"c9479b5b-67ae-4aa7-b8de-697ee2e048fe\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like `mlp10tc[21238]@8: 1.8e+01` is responsible for mapping the information from the `35` token to the `40`-`20` logit vector. `mlp10tc[9647]` is also important.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"aaf1b039-f348-4de6-8839-1b887cd0b623\",\n   \"metadata\": {},\n   \"source\": [\n    \"We can see that the `tc0[17180]@35` contributes to the logits through attention head 1 in layer 9. What are the de-embeddings of this transcoder feature? \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"id\": \"f9870c07-75d9-4a65-a8e9-a9db22124944\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff7e7e'>esters</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.342</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>35</span></td>\\n\",\n       \"    <td style='text-align:right'>+3.310</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8080'>eers</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.231</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8585ff'>&nbsp;35</span></td>\\n\",\n       \"    <td style='text-align:right'>+2.997</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8080'>ester</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.224</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9f9fff'>035</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.629</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8181'>venge</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.166</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>25</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.532</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8181'>strate</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.166</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>36</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.517</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8282'>idays</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.116</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a2a2ff'>20439</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.450</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff8484'>&nbsp;lords</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.039</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a3a3ff'>535</span></td>\\n\",\n       \"    <td style='text-align:right'>+1.402</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 17180)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"89040193-9c12-4cbd-9f49-30f66975e0d8\",\n   \"metadata\": {},\n   \"source\": [\n    \"Very sensible!\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"78b552e0-47eb-4c0a-8582-94f8f01dd276\",\n   \"metadata\": {},\n   \"source\": [\n    \"Let's do another prompt.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"id\": \"50de3551-a6fb-43f2-82e9-522c4c50e9ca\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01\\n\",\n      \"Path [0][1]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01\\n\",\n      \"Path [0][2]: mlp11@-1 <- mlp9tc[11883]@8: 5.3\\n\",\n      \"Path [0][3]: mlp11@-1 <- mlp9tc[12072]@8: 5.2\\n\",\n      \"Path [0][4]: mlp11@-1 <- attn9[1]@6: 3.3\\n\",\n      \"Path [0][5]: mlp11@-1 <- mlp10tc[3413]@8: 3.0\\n\",\n      \"Path [0][6]: mlp11@-1 <- mlp10tc[12424]@8: 2.5\\n\",\n      \"Path [0][7]: mlp11@-1 <- mlp9tc[20046]@8: 2.5\\n\",\n      \"Path [0][8]: mlp11@-1 <- mlp9tc[4283]@8: 2.5\\n\",\n      \"Path [0][9]: mlp11@-1 <- mlp10tc[20856]@8: 2.4\\n\",\n      \"Path [0][10]: mlp11@-1 <- mlp8tc[15542]@8: 2.1\\n\",\n      \"Path [0][11]: mlp11@-1 <- mlp9tc[3161]@8: 1.7\\n\",\n      \"Path [0][12]: mlp11@-1 <- attn8[6]@6: 1.6\\n\",\n      \"Path [0][13]: mlp11@-1 <- attn8[10]@6: 1.5\\n\",\n      \"Path [0][14]: mlp11@-1 <- mlp10tc[5315]@8: 1.4\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- attn9[1]@6: 2.3\\n\",\n      \"Path [1][1]: mlp11@-1 <- mlp9tc[11883]@8: 5.3 <- attn9[1]@6: 2.2\\n\",\n      \"Path [1][2]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- mlp9tc[11883]@8: 1.9\\n\",\n      \"Path [1][3]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn9[1]@6: 1.8\\n\",\n      \"Path [1][4]: mlp11@-1 <- mlp9tc[3161]@8: 1.7 <- attn9[1]@6: 1.7\\n\",\n      \"Path [1][5]: mlp11@-1 <- attn9[1]@6: 3.3 <- mlp0tc[14599]@6: 1.6\\n\",\n      \"Path [1][6]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn7[10]@6: 1.6\\n\",\n      \"Path [1][7]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- mlp9tc[12072]@8: 1.2\\n\",\n      \"Path [1][8]: mlp11@-1 <- mlp9tc[3161]@8: 1.7 <- attn7[10]@6: 1.1\\n\",\n      \"Path [1][9]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- mlp9tc[11883]@8: 1.0\\n\",\n      \"Path [1][10]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- mlp8tc[15542]@8: 0.96\\n\",\n      \"Path [1][11]: mlp11@-1 <- mlp9tc[11883]@8: 5.3 <- attn7[10]@6: 0.95\\n\",\n      \"Path [1][12]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- mlp8tc[15542]@8: 0.93\\n\",\n      \"Path [1][13]: mlp11@-1 <- mlp9tc[3161]@8: 1.7 <- attn6[1]@6: 0.83\\n\",\n      \"Path [1][14]: mlp11@-1 <- mlp9tc[3161]@8: 1.7 <- attn5[5]@6: 0.76\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp11@-1 <- attn9[1]@6: 3.3 <- mlp0tc[14599]@6: 1.6 <- attn0[1]@6: 1.6\\n\",\n      \"Path [2][1]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn9[1]@6: 1.8 <- mlp0tc[14599]@6: 1.1\\n\",\n      \"Path [2][2]: mlp11@-1 <- attn9[1]@6: 3.3 <- mlp0tc[14599]@6: 1.6 <- attn0[5]@6: 0.91\\n\",\n      \"Path [2][3]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- mlp9tc[11883]@8: 1.9 <- attn9[1]@6: 0.8\\n\",\n      \"Path [2][4]: mlp11@-1 <- mlp9tc[11883]@8: 5.3 <- attn9[1]@6: 2.2 <- mlp0tc[14599]@6: 0.77\\n\",\n      \"Path [2][5]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn7[10]@6: 1.6 <- mlp0tc[14599]@6: 0.58\\n\",\n      \"Path [2][6]: mlp11@-1 <- mlp9tc[3161]@8: 1.7 <- attn9[1]@6: 1.7 <- mlp0tc[14599]@6: 0.51\\n\",\n      \"Path [2][7]: mlp11@-1 <- attn9[1]@6: 3.3 <- mlp0tc[14599]@6: 1.6 <- attn0[3]@6: 0.45\\n\",\n      \"Path [2][8]: mlp11@-1 <- attn9[1]@6: 3.3 <- mlp0tc[14599]@6: 1.6 <- embed0@6: 0.44\\n\",\n      \"Path [2][9]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- mlp9tc[11883]@8: 1.0 <- attn9[1]@6: 0.43\\n\",\n      \"Path [2][10]: mlp11@-1 <- mlp9tc[11883]@8: 5.3 <- attn7[10]@6: 0.95 <- mlp0tc[14599]@6: 0.36\\n\",\n      \"Path [2][11]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- mlp9tc[11883]@8: 1.9 <- attn7[10]@6: 0.34\\n\",\n      \"Path [2][12]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn9[1]@6: 1.8 <- attn0[1]@6: 0.32\\n\",\n      \"Path [2][13]: mlp11@-1 <- mlp10tc[21238]@8: 1.1e+01 <- attn9[1]@6: 2.3 <- mlp0tc[14599]@6: 0.3\\n\",\n      \"Path [2][14]: mlp11@-1 <- mlp9tc[11883]@8: 5.3 <- attn9[1]@6: 2.2 <- mlp1tc[7166]@6: 0.22\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"prompt = \\\"The war lasted from 1527 to 15\\\"\\n\",\n    \"_, cache = model.run_with_cache(prompt) # cache the model activations on this prompt\\n\",\n    \"\\n\",\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, feature_vector, num_iters=3, num_branches=15, do_raw_attribution=True)\\n\",\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1569d620-4037-4311-acc3-ec4b20698aa1\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, we have another MLP10 feature: `mlp10tc[10437]@8: 1.1e+01`. And yet again, we see contributions to this feature through attention head 1 in layer 9 (e.g. `Path [2][1]: mlp11@-1 <- mlp10tc[10437]@8: 1.1e+01 <- attn9[1]@6: 1.8 <- mlp0tc[14599]@6: 1.1`). This corroborates what is seen in the original greater-than paper.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"760e728e-e5a7-419d-83cd-c89f240ecc4d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Feature-level analysis\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"8eec2a25-7fe4-46fd-ac0b-8cf4fef18e6d\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"tc10 = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(10)}.pt\\\").eval()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"81daa58e-e6dc-4e8b-9b00-2caa69491861\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"tc0 = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(0)}.pt\\\").eval()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"7e0bff43-8ba0-4f83-9321-0e2bf73cebc0\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Clean up memory\\n\",\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b1bebdc6-aad4-48c1-b666-1e9765172aa2\",\n   \"metadata\": {},\n   \"source\": [\n    \"Get MLP10 transcoder feature activations on all prompts.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"fd1fa756-1c6c-4a32-8ee7-20a9890263a0\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"prompts = [f\\\"The war lasted from 17{i:02} to 17\\\" for i in range(100)]\\n\",\n    \"all_activs = []\\n\",\n    \"with torch.no_grad():\\n\",\n    \"    for prompt in prompts:\\n\",\n    \"        _, cache = model.run_with_cache(prompt) # cache the model activations on this prompt\\n\",\n    \"        feature_activs = tc10(cache[utils.get_act_name('normalized', 10, 'ln2')][:,-1])[1]\\n\",\n    \"        all_activs.append(feature_activs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"c700c1e4-d48a-4641-802e-e5e831e6aef8\",\n   \"metadata\": {},\n   \"source\": [\n    \"Find the features with the greatest variance in activation strength over the prompts.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"id\": \"059a37ac-5f85-416c-a8c4-7635e5fc7e88\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"activs_tensor = torch.stack(all_activs)[:,0,:]\\n\",\n    \"top_features = torch.topk(torch.var(activs_tensor, dim=0), k=10).indices\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"434eb541-201a-4ec4-87ac-1e200facab9f\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, do the same for MLP10 neurons.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"3d35a6f1-faf7-4e1d-8346-f785114b9522\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mlp_activs = []\\n\",\n    \"with torch.no_grad():\\n\",\n    \"    for prompt in prompts:\\n\",\n    \"        _, cache = model.run_with_cache(prompt) # cache the model activations on this prompt\\n\",\n    \"        feature_activs = cache[utils.get_act_name('post', 10, 'mlp')][:,-1]\\n\",\n    \"        mlp_activs.append(feature_activs)\\n\",\n    \"mlp_activs = torch.stack(mlp_activs)[:,0,:]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"id\": \"88b3d0f4-25eb-4419-9711-5535d9fcf011\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"top_neurons = torch.topk(torch.var(mlp_activs, dim=0), k=10).indices\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"73f85ff9-646c-4f9b-ad14-03a87e2fd9b9\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Logit-lens plots\\n\",\n    \"\\n\",\n    \"Define a function for plotting the effect of an MLP10 transcoder feature on each `YY` token, along with the (scaled to fit in the plot) de-embedding score of each `YY` token.\\n\",\n    \"\\n\",\n    \"De-embedding scores are calculated here as follows:\\n\",\n    \"* First, look at the `feature_k` MLP0 transcoder features with the highest input-invariant connections to the MLP10 transcoder feature through the OV circuit of layer 9 attention head 1.\\n\",\n    \"* Then, over these top MLP0 transcoder features, sum up the de-embedding scores of each `YY` token from the MLP0 transcoder feature, weighting it by the input-invariant connection strength between the MLP0 transcoder feature and the MLP10 transcoder feature.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"id\": \"bacd87b6-67ac-43da-bff5-72a662f73dad\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from matplotlib.lines import Line2D\\n\",\n    \"from matplotlib.patches import Patch\\n\",\n    \"\\n\",\n    \"plt.rcParams['font.family'] = 'serif'\\n\",\n    \"plt.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"\\n\",\n    \"def plot_feature_info(feature_idx, feature_k=1, is_mlp=False):\\n\",\n    \"    years_list = []\\n\",\n    \"    vec = tc10.W_enc[:, feature_idx] if not is_mlp else model.blocks[10].mlp.W_in[:, feature_idx].data\\n\",\n    \"    top_mlp0_vals, top_mlp0_features = torch.topk(tc0.W_dec @ model.OV[9, 1] @ vec, k=feature_k)\\n\",\n    \"    deembedding = torch.zeros(100).cuda()\\n\",\n    \"    for v, f in zip(top_mlp0_vals, top_mlp0_features):\\n\",\n    \"        deembedding = deembedding + (v * model.W_E @ tc0.W_enc[:, f.item()])[[model.to_single_token(f'{i:02}') for i in range(100)]]\\n\",\n    \"\\n\",\n    \"    plt.title(f\\\"Logits boosted by {'transcoder' if not is_mlp else 'MLP'} feature {feature_idx}\\\")\\n\",\n    \"    plt.xlabel(\\\"Year token\\\")\\n\",\n    \"    plt.ylabel(\\\"Logit increase\\\")\\n\",\n    \"    feature_logits = (tc10.W_dec[feature_idx] if not is_mlp else model.blocks[10].mlp.W_out[feature_idx].data) @ model.W_U\\n\",\n    \"    xs = [feature_logits[model.to_single_token(f'{i:02}')].item() for i in range(100)]\\n\",\n    \"    plt.plot(xs, marker='o', label='Logit increase')\\n\",\n    \"    \\n\",\n    \"    deembedding = utils.to_numpy(deembedding)\\n\",\n    \"    de_min, de_max = deembedding.min(), deembedding.max()\\n\",\n    \"    deembedding = (deembedding-de_min)/(de_max-de_min) * (np.max(xs) - np.min(xs)) + np.min(xs)\\n\",\n    \"    plt.plot(deembedding, marker='o', label='Normalized de-embedding score', alpha=0.5)\\n\",\n    \"    plt.legend()\\n\",\n    \"    plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"id\": \"249a23e0-9daf-42b3-869c-c9c2997c5e89\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"for i in range(10):\\n\",\n    \"    plot_feature_info(top_features[i], feature_k=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ebca5686-30b8-41c2-9b45-3f76301fa9cf\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Evaluating feature performance versus neuron performance\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"33c57af1-05d4-4b91-a691-2afe081d2c53\",\n   \"metadata\": {},\n   \"source\": [\n    \"Get original model performance.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"id\": \"197dda68-be17-431b-813d-3af1fe3c2515\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"logits = model(prompts, return_type='logits')[:, -1, [model.to_single_token(f'{i:02}') for i in range(100)]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"id\": \"e46e46cb-89eb-4455-8756-84a5be0847ac\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.8829426078163848\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"diffs = []\\n\",\n    \"probs = torch.softmax(logits, dim=1)\\n\",\n    \"for i in range(1,99):\\n\",\n    \"    diffs.append((probs[i, i+1:].sum() - probs[i, :i+1].sum()).item())\\n\",\n    \"np.mean(diffs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ceaf44e0-d505-4577-96d1-a896514ffb83\",\n   \"metadata\": {},\n   \"source\": [\n    \"Get performance for different numbers of MLP neurons or transcoder features.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"id\": \"ea373227-b362-41aa-bddb-10ed7e96689e\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"@torch.no_grad()\\n\",\n    \"def eval_mlp_on_num(num, features_to_use, do_original=True):\\n\",\n    \"    original_single_diff = None\\n\",\n    \"    original_total_diff = None\\n\",\n    \"    kld = None\\n\",\n    \"    \\n\",\n    \"    def mlp_replacement(acts, hook):\\n\",\n    \"        new_acts = torch.zeros(acts.shape, dtype=acts.dtype).cuda()\\n\",\n    \"        new_acts[:, :, features_to_use] = acts[:, :, features_to_use]\\n\",\n    \"        return new_acts\\n\",\n    \"\\n\",\n    \"    if type(num) == int:\\n\",\n    \"        cur_prompts = [prompts[num]]\\n\",\n    \"    elif type(num) == list:\\n\",\n    \"        cur_prompts = [prompts[i] for i in num]\\n\",\n    \"        num = torch.tensor(num).cuda()\\n\",\n    \"    \\n\",\n    \"    logitsA = model.run_with_hooks(cur_prompts, return_type=\\\"logits\\\", fwd_hooks=[(utils.get_act_name('post', 10, 'mlp'), mlp_replacement)])\\n\",\n    \"    logitsA = logitsA[:, -1, [model.to_single_token(f'{i:02}') for i in range(100)]]\\n\",\n    \"    probsA = torch.softmax(logitsA, dim=-1)\\n\",\n    \"\\n\",\n    \"    if do_original:\\n\",\n    \"        logitsB = model(cur_prompts, return_type='logits')[:, -1, [model.to_single_token(f'{i:02}') for i in range(100)]]\\n\",\n    \"        probsB = torch.softmax(logitsB, dim=-1)\\n\",\n    \"    \\n\",\n    \"        kld = torch.nn.functional.kl_div(torch.nn.functional.log_softmax(logitsA, dim=-1), probsB, reduction='batchmean')\\n\",\n    \"        original_single_diff = probsB[:, num+1]-probsB[:, num-1]\\n\",\n    \"    new_single_diff = probsA[:, num+1]-probsA[:, num-1]\\n\",\n    \"\\n\",\n    \"    if type(num) == int:\\n\",\n    \"        new_total_diff = probsA[:, num+1:].sum(dim=-1)-probsA[:, :num+1].sum(dim=-1)\\n\",\n    \"        if do_original: original_total_diff = probsB[:, num+1:].sum(dim=-1)-probsB[:, :num+1].sum(dim=-1)\\n\",\n    \"    else:\\n\",\n    \"        new_single_diff = torch.diagonal(new_single_diff).mean()\\n\",\n    \"        if do_original: original_single_diff = torch.diagonal(original_single_diff).mean()\\n\",\n    \"        \\n\",\n    \"        new_total_diff = []\\n\",\n    \"        if do_original: original_total_diff = []\\n\",\n    \"        for cur_num in num:\\n\",\n    \"            new_total_diff.append(probsA[:, cur_num+1:].sum(dim=-1)-probsA[:, :cur_num+1].sum(dim=-1))\\n\",\n    \"            if do_original: original_total_diff.append(probsB[:, cur_num+1:].sum(dim=-1)-probsB[:, :cur_num+1].sum(dim=-1))\\n\",\n    \"\\n\",\n    \"        new_total_diff = torch.diagonal(torch.stack(new_total_diff)).mean()\\n\",\n    \"        if do_original: original_total_diff = torch.diagonal(torch.stack(original_total_diff)).mean()\\n\",\n    \"\\n\",\n    \"    return {\\n\",\n    \"        'kld': kld,\\n\",\n    \"        'new_single_diff': new_single_diff,\\n\",\n    \"        'original_single_diff': original_single_diff,\\n\",\n    \"        'new_total_diff': new_total_diff,\\n\",\n    \"        'original_total_diff': original_total_diff,\\n\",\n    \"    }\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"id\": \"02ed838a-3110-4642-9ea2-99eb1015c414\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"@torch.no_grad()\\n\",\n    \"def eval_tc_on_num(num, features_to_use, do_original=True):\\n\",\n    \"    original_single_diff = None\\n\",\n    \"    original_total_diff = None\\n\",\n    \"    kld = None\\n\",\n    \"\\n\",\n    \"    class TCReplacementModule(torch.nn.Module):\\n\",\n    \"        def forward(self, x):\\n\",\n    \"            feature_acts = tc10(x)[1]\\n\",\n    \"            feature_acts = feature_acts[:, :, features_to_use]\\n\",\n    \"            W_dec = tc10.W_dec[features_to_use, :]\\n\",\n    \"            tc_out = torch.einsum('btf, fd -> btd', feature_acts, W_dec)\\n\",\n    \"            tc_out = tc_out + tc10.b_dec_out\\n\",\n    \"            return tc_out\\n\",\n    \"\\n\",\n    \"    if type(num) == int:\\n\",\n    \"        cur_prompts = [prompts[num]]\\n\",\n    \"    elif type(num) == list:\\n\",\n    \"        cur_prompts = [prompts[i] for i in num]\\n\",\n    \"        num = torch.tensor(num).cuda()\\n\",\n    \"\\n\",\n    \"    original_mlp = model.blocks[10].mlp\\n\",\n    \"    try:\\n\",\n    \"        model.blocks[10].mlp = TCReplacementModule()\\n\",\n    \"        logitsA = model(cur_prompts, return_type=\\\"logits\\\")\\n\",\n    \"    finally:\\n\",\n    \"        model.blocks[10].mlp = original_mlp\\n\",\n    \"    logitsA = logitsA[:, -1, [model.to_single_token(f'{i:02}') for i in range(100)]]\\n\",\n    \"    probsA = torch.softmax(logitsA, dim=-1)\\n\",\n    \"\\n\",\n    \"    if do_original:\\n\",\n    \"        logitsB = model(cur_prompts, return_type='logits')[:, -1, [model.to_single_token(f'{i:02}') for i in range(100)]]\\n\",\n    \"        probsB = torch.softmax(logitsB, dim=-1)\\n\",\n    \"    \\n\",\n    \"        kld = torch.nn.functional.kl_div(torch.nn.functional.log_softmax(logitsA, dim=-1), probsB, reduction='batchmean')\\n\",\n    \"        original_single_diff = probsB[:, num+1]-probsB[:, num-1]\\n\",\n    \"    new_single_diff = probsA[:, num+1]-probsA[:, num-1]\\n\",\n    \"\\n\",\n    \"    if type(num) == int:\\n\",\n    \"        new_total_diff = probsA[:, num+1:].sum(dim=-1)-probsA[:, :num+1].sum(dim=-1)\\n\",\n    \"        if do_original: original_total_diff = probsB[:, num+1:].sum(dim=-1)-probsB[:, :num+1].sum(dim=-1)\\n\",\n    \"    else:\\n\",\n    \"        new_single_diff = torch.diagonal(new_single_diff).mean()\\n\",\n    \"        if do_original: original_single_diff = torch.diagonal(original_single_diff).mean()\\n\",\n    \"        \\n\",\n    \"        new_total_diff = []\\n\",\n    \"        if do_original: original_total_diff = []\\n\",\n    \"        for cur_num in num:\\n\",\n    \"            new_total_diff.append(probsA[:, cur_num+1:].sum(dim=-1)-probsA[:, :cur_num+1].sum(dim=-1))\\n\",\n    \"            if do_original: original_total_diff.append(probsB[:, cur_num+1:].sum(dim=-1)-probsB[:, :cur_num+1].sum(dim=-1))\\n\",\n    \"\\n\",\n    \"        new_total_diff = torch.diagonal(torch.stack(new_total_diff)).mean()\\n\",\n    \"        if do_original: original_total_diff = torch.diagonal(torch.stack(original_total_diff)).mean()\\n\",\n    \"\\n\",\n    \"    return {\\n\",\n    \"        'kld': kld,\\n\",\n    \"        'new_single_diff': new_single_diff,\\n\",\n    \"        'original_single_diff': original_single_diff,\\n\",\n    \"        'new_total_diff': new_total_diff,\\n\",\n    \"        'original_total_diff': original_total_diff,\\n\",\n    \"    }\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"id\": \"708dfb03-29df-4d21-90e3-201ba6dff605\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import tqdm\\n\",\n    \"def eval_mlp_features(k, dict_key='new_total_diff'):\\n\",\n    \"    top_features = torch.topk(torch.var(mlp_activs, dim=0), k=k).indices\\n\",\n    \"    ys = []\\n\",\n    \"    for i in tqdm.tqdm(range(k)):\\n\",\n    \"        ys.append(eval_mlp_on_num(list(range(1,99)), top_features[:i], do_original=False)[dict_key].item())\\n\",\n    \"    return ys\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"id\": \"56e7b67d-9321-4eb8-afa5-9d7f6de37d9b\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import tqdm\\n\",\n    \"def eval_tc_features(k, dict_key='new_total_diff', exclude_feature=None):\\n\",\n    \"    top_features = torch.topk(torch.var(activs_tensor, dim=0), k=k).indices\\n\",\n    \"    ys = []\\n\",\n    \"    for i in tqdm.tqdm(range(k)):\\n\",\n    \"        features = top_features[:i]\\n\",\n    \"        if exclude_feature is not None:\\n\",\n    \"            features = features[features != exclude_feature]\\n\",\n    \"        ys.append(eval_tc_on_num(list(range(1,99)), features, do_original=False)[dict_key].item())\\n\",\n    \"    return ys\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"id\": \"8b827410-9bd8-463e-83dc-d11ea6e8a523\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:04<00:00, 20.93it/s]\\n\",\n      \"100%|██████████| 100/100 [00:04<00:00, 21.95it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"tc_eval = eval_tc_features(100)\\n\",\n    \"mlp_eval = eval_mlp_features(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"id\": \"50cb4eec-52cc-470d-bc3c-ba29157d6557\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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Pq1KnWMvZ+z/z222/4+fnRvn37Uh9TVZFO0E524Siw8gQGBpa6/cyZM9SvX7/EdssX1oV9OED7gblYaGgohYWFnD59mvDwcO6++25WrFjBmjVr6Ny5M6DNhzF69GgMBkOJ+198TMsXqOVHrSolJCTQsWNH5syZw/3338+uXbvIy8ujS5cu5d7v5MmTACWeu4tHnzmLpW/RxIkTmT59unW7yWQiPDyc3NzcEvcp7TW3HGfs2LE2P4SFhYWEh4eX6CtTr149m9t6vd56XtA6eprN5hIJd1nnveaaa2y25+fnEx4ebu0wWp6y3nugvVeaNWvGpEmTmDFjBt9//z39+/cHtJE7ffv2tb73LP0iZsyYwYIFC5g5cybNmjXjP//5D+PGjUOn09n9PFX2feDo5+9Sr8elVPb+ZbGMigKsycyF28o7T1mv67Zt24Dz752lS5eW6O8UEBBAUVFRifuX9X13sfLevxe+Bq1bt7breJdi7+d4x44d9O7dm9GjR7NlyxZr5+no6OhSv0OdpbzvjEvFfOONN7J69Wpef/117r33XpRSXHPNNbz++utcdtlllY6tXr16bNmyhVdeeYUPPviAF198kdatWzNx4kSGDx9uE+ulvmdOnjxZ6ueuqr6/LSQBqmEaNGjA8ePHS2w/e/YsgM1/mwCZmZmllvX29qZhw4bk5+ezaNEi7r//fmvycykXH9Ny7qZNm9p1/8oaPXo0jz/+OP/88481UbsUy7D8CztrA5w7d64qQrT+p//aa69xww03VPo4n3/+eYlah4qoX78+er2+xPNQ1nl//vnnCn/JlPXeg/Pvlblz53LVVVdZk5+yBAcH8+KLLzJlyhQ2bNjAK6+8wvjx4wkMDGTs2LF2P08Xvg/Cw8Ot2+19Hzj6+asOlmHdSinrtpycnCo7X1mvq+U1tbwWd9xxB2+88YZTz13e+7cqXgN7P8eLFi2ioKCAF154ocIjx0p7HcHx19KR757+/fvTv39/Tp8+zaeffsqUKVO46qqrOHjwoDUJLo1er7crziZNmjBz5kxeffVVVq1axYsvvsiIESNo3LgxV155pd3fM02aNOHIkSMltlfV97eFNIHVMAMGDKCgoKDE0PGNGzei1+tL/JAcOHCgxEiZ7du3061bN/R6PUajEZPJVOLNXlrVt8WOHTtsbm/evBmAnj17VugxlcbT09P6ATty5IhN89rw4cPx8vLiww8/5IsvvrD+N1GeXr16AZRourn4sTjLVVddhV6vt/5XfKFHH32UDRs22HWcAQMGAJQ4jslk4s4772TPnj0OxeXv70+fPn3Ytm1bif/E77//fj7//PNyz5uZmclNN910yQQKtC+ni5OFzZs3ExUVZf2xNBgMl3zvpaWlMW7cOECrrbjiiitYunQpISEh1s+Bvc9TZd8Hjn7+qoMlkbvwNdm1a1eVnW/nzp02P35nzpzh0KFD1s9/69atiY6OLvW9/+GHH/Lee+9V+NzlvX83btxITEyMU2ovLOz9HFtqeS58L5tMJtLS0krcz8vLy/r8nT592tpsWtrrmJaWZk3snB3zzJkzrTV0DRs2ZPz48Tz77LMcOXLkkolFeHh4ie+Ai99zO3bssDZ3eXp6MmjQIJYvXw5wyc/txd8zvXr1Ij8/n507d5Y4R1WSBKiGeeyxx2jZsiVPPvmktSpz8+bNzJ07l8cff5wWLVrYlDebzTz33HPWD9y0adM4ffo0U6ZMAbQqVMtQ24MHDwJw7Ngx65DQ0sybN886FPfo0aO8/vrr9OvXzzqBmDPExMRYfzzff/99Zs+ebd3XsGFDrr32Wt555x26du1q1398lvhee+01jh07Bmh9FebPn++0mC/UokULxo8fz1tvvcUff/wBaP/Zvf/++yxfvtzu2rbk5GRuueUWpkyZwoEDBwAwGo0899xz7N+/v0JV/TNmzCArK8s62STA999/z7Jly+jbty8Ad955Jz169OD//u//rF/i+fn5jBs3Dk9Pz0s2oYHWl+Opp56y/lDNnz+f7du3M2XKFGuzy+DBg1m9erV13qWMjAxee+01m+Pk5eXx3nvv2QzP/eOPP8jOzrYmHPY+TyNGjCA2NpbJkydbv+Q3btzId999Z9dz5+jnrzokJiZSr149vvzyS0D7J+fDDz+ssvOlpKTw1ltvAdr3y4QJE9Dr9dZ5zHQ6HbNmzWLDhg02Q+k3btzIc889Z+0zWFEXvn8t32vvv/8+O3fuZObMmU5dGsHez7Gl79zLL79sjemll14iPz+/xDEv/G775ptveOmllwBo2bIlUVFRLF68GKUNQOLll18utcnRGTFv376dl19+2foPcmFhIb/99hudO3e+5Oe7X79+rFy50tq0/Nlnn5VoFj979iyvvfaazdQk69atw9PT0zrBrb3fM+PHjycsLIynnnrKmmwuXbrU+s93lamy7tVuoqylMEpz5swZFRcXpwICAlRAQICKi4srMQpDKW1I4+jRo1Xz5s1V69atVdu2bW2Wbdi9e7f1OElJSeqtt95SXbp0UU2bNlVt2rRRixcvtjneyZMn1dChQ1VERITq1q2buv7669Vjjz1mjXfOnDnqscceUy1btlSAmjdvnho8eLDq2LGjql+/vho+fLjNKLarr77a+njj4uLUokWL1NChQ1Xz5s2tx3z99dfVN998o+Li4hSgwsPDVXJysvUYS5cuVS1atFCdOnVSPXr0sA5ttli2bFmpo3nKc/bsWTV8+HBVv3591bFjRzV48GA1f/58BaiWLVuqxx57TG3cuFHFxcUpLy8vVb9+fRUXF6eysrJUXFycql+/vvLy8lJxcXFq2LBhSimlevfubfNYL3wMSin15ptvqrZt26rWrVur+Ph4deedd9qMcBkyZIjN/e+7774ScRcWFqpJkyapli1bWt8/DzzwgM1znpiYaBPf/v371axZs6yvWcuWLa3DqZVSauvWrWrAgAGqefPmKi4uTg0cOFD9/fffNufNyspS48aNU1FRUap9+/YqLi5OTZgwodzpBi58rqKiotSXX36pEhMTVUxMjIqOjlbvvPOOTfnMzEx1zz33qCZNmqjLL79cDRgwQE2ePNka84svvqjy8vLU5MmT1eWXX67i4uJUXFycSkhIsBlOb+/zpJQ2onLw4MGqfv36Kj4+Xg0bNky99tpr1vfmxaN2Lnapz19FXo8LlfY9kJeXp5566imbz9D8+fOt91m6dKlq06aNat26tbr66qvVtm3bSnyuLn6v/fTTT+qVV16xiemVV15RP/30k83ncvDgwdZtXl5eauTIkWrixIkqISFBNWrUSF1++eU202pYrFq1SvXq1UtFRkaqyy+/XF155ZU2o6ZefPFFm3MnJCSU+7xfyPL+jYyMVNHR0apXr15q1apV1v0Xxmv5HL/++utlHq+yn2OllJo/f75q27atio6OVklJSWrq1KmqadOmqn79+jbLAv3++++qXbt2qn379qpz587WoeqWfZ07d1YxMTGqb9++as2aNSoqKsr6GPLy8tSDDz5o8z4YPHhwqY/pUjH//PPP6tZbb1Xt2rVT8fHxql27dmrkyJElhu2X5sSJE+raa69VTZs2VT179lQzZ85Uo0aNsr7ff/nlF3X69Gn15JNPqk6dOqn4+HjVqVMn1bNnT+tSIxb2fs/8/fffKikpSYWFhanLL79cPfjgg2rChAnW1+ziUaLOoFPqooY+IWqAEydO0LVrV44dO1bm1PZCCCFERUkTmKiRvvrqK0aOHCnJjxBCiCohCZCoMR555BF++eUXDAYDH330Effff7+rQxJCCFFHyTB4UWMEBQUxdOhQGjZsyMMPP2zXfEpCCCFERUgfICGEEEK4HWkCE0IIIYTbkQRICCGEEG5H+gCVwmw2c/LkSQIDA5066ZYQQgghqo5SiuzsbJo0aVLuch8gCVCpTp48SfPmzV0dhhBCCCEq4NixYzRr1qzcMpIAlcKyAu+xY8ccnqZcCCGEEK6RlZVF8+bNrb/j5ZEEqBSWZq+goCBJgIQQQohaxp7uK9IJWgghhBBuRxIgIYQQQrgdSYCEEEII4XYkARJCCCGE25EESAghhBBuRxIgIYQQQrgdSYCEEEII4XYkARJCCCGE25EESAghhBBuRxIgIYQQQrgdSYCEEEII4XYkARJCCCGE25HFUMuTmwseHiW3e3iAr69tubLo9eDnV7GyeXmgVOlldTrw969Y2fx8MJvLjiMgoGJlCwrAZHJOWX9/LW4AgwGMRueU9fPTnmeAwkIoKnJOWV/f8+8VR8oWFWnly+LjA56ejpc1GrXnoize3uDl5XhZk0l77cri5aWVd7Ss2ay915xR1tNTey5A+0zk5TmnrCOfe/mOKL2sfEc4Xla+I7TrjnxH2EuJEjIzMxWgMrWvi5KXQYNs7+DvX3o5UCopybZsgwZll+3SxbZsVFTZZdu1sy3brl3ZZaOibMt26VJ22QYNbMsmJZVd1t/ftuygQWWXvfitdsst5ZfNyTlfdtSo8sumpZ0v++CD5Zc9dOh82SeeKL/szp3ny06aVH7ZzZvPl33llfLLrlt3vuzbb5dfdvny82Xnzi2/7Jdfni/75Zfll50793zZ5cvLL/v22+fLrltXftlXXjlfdvPm8stOmnS+7M6d5Zd94onzZQ8dKr/sgw+eL5uWVn7ZUaPOl83JKb/sLbcoG+WVle8I7SLfEecv8h2hXar4O8L6+52ZqS5FmsCEEEII4XZ0Sinl6iBqmqysLIKDg8k8eZKgoKCSBaR6u/SyUr3teFmp3tauSxNYxcrKd4R2Xb4jHC9bR78jrL/fmZml/35fQBKgUjjyBAohhBCiZnDk91uawIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCGEEG5HEiAhhBBCuB1JgIQQQgjhdiQBEkIIIYTbkQRICCEE5JyG9dPh2GZXRyJEtZAESAgh3JnZDH/Mg7e7wPqX4NOb4dwxV0clRJWTBEgIIdzVqX9g7kD4bhwUnAO9FxiyYOmDWmIkRB3m6eoAhBBCVMKhDfDTi2DMB08/8Cq+eAeAbwj4hYBvMPgEQkEW5KZpzV05p+DwBjAbwbse9H0GWvWHD5Pg0C+w+QPo/oCrH50QVUYSICGEqK2OboTPhkJRXsWP0XYwDJwOwU2121dPge//A2smQ8t+0DDWKaEKUdO4PAFasmQJU6dOxc/PD71ez7vvvkv79u1LLauUYurUqXz11VeEhISQm5vLvffey7333mstM3nyZL799ltCQkKs24KDg1m6dGlVPxQhhKg+J7fBwlu15KflldDtfq0WqKhA+2vIgYJMrWkr/5zWtOUTBPUaQUBD7W+DWGiWYHvcLmNh9w9wYC0suQ/GrgYPL1c8QiGqlEsToM2bNzNy5Ei2bt1KbGwsCxYsYMCAAezatYvAwMAS5efMmcOMGTP4999/adq0KceOHaNDhw40bdqUa6+91lpu5syZJCcnV+MjEUKIanTqX/jkRi2pieoFt30K3v7OObZOBze8De/20JKsX16Fvk8759hC1CAu7QQ9ffp0Bg0aRGysVsU6fPhwjEYj8+fPL7X89u3badOmDU2balW1zZs3JzY2llWrVlVbzEII4TRFBWA2ldyulFZrk34QUv6CtF2QfgiyUiB1J3wyBPIzoGkCDPvCecmPRVATuPY17fovM+D3t8BU5NxzCOFiLq0BWrt2Lc8++6z1tl6vJyEhgTVr1vDwww+XKH/DDTcwf/58duzYQceOHfnrr7/YuXMnQ4YMqcaohRCikooKYNkjsONL7banL3j5ax2XjQWQlw6qlMToQuEd4M7FWufmqtDxFti3Gv5eBKuehW2fwqBXIaZP1ZxPiGrmshqgs2fPkpmZSUREhM32iIgIDh48WOp9+vfvz9y5c+nXrx/t2rXj8ssvJzExkQcffNCm3Jw5c0hOTqZXr16MGjWKAwcOVNnjEEIIhxRkwcJbzic/oCU9+emQeQxyT59Pfrz8oV4E+IeBVwDoir+ym3aBEUvAP7RqYx3yHlz/lnb+07th/nWweIxWEyVELeeyGqC8PG3Ugo+Pj812Hx8f676LLV++nHvvvZdVq1aRkJDAwYMH+fLLL/H3P1/9GxkZSXBwMHPmzEGv1/PCCy+QkJDAP//8Y206u5jBYMBgMFhvZ2VlVfbhCSFESTlp2kSDqX+DdyAMnQ+N46AwV+vMXJgHnj5aYuMXCl6+JY9hKgK9p9ZXp6rp9XD5SGhzHax7CbZ+DDu/huNb4cH/aTVWQtRSLqsBsiQtFyYeltsXJjQXeuaZZ7jppptISNBGLbRo0YJ9+/bZNJeNGTOG8ePH4+npiV6vZ+LEifj6+vLuu++WGcu0adMIDg62Xpo3b17ZhyeEELbSD8HHV2vJT0BDuGs5tLoSAhpA/Sho1FYbkRXRQeuDU1ryA9qIrOpIfi7kHwrXvgr3rofg5nDuiJYQidop5zT8NkubRsGNuSwBCgsLIzg4mNTUVJvtqamptGjRotT77Nu3j+joaJttMTExLF68uMzzeHh4EB0dXW4z2NNPP01mZqb1cuyYTAMvhHCi41thzgDIOAQhUTBmJTSJd3VUjmscB9e9oV3f+C6c3F415zGb4J9v4cO+8GIEvNMdFt0Jq5+DP+bDvjXaCLVzx6Aov2piqIvyM2DtCzArTnsu5wyAH/5Pq4F0Qy7tBN2vXz+2bt1qva2U4s8//+SZZ54ptXzTpk1JSbFte05JScHPz896e9y4ccyaNcumzMmTJ+nTp+yOez4+PiWa4oQQwin+XKBNLGgq1DouD/8aAiMufb+a6rKroMMtsHMxfPco3P0TeDjpp8RYCH9/Ab/NhLP7z28/vUu7lCWwCYz+HkJL/+fZ7RlyYNP78Pub2txQAPWjIeOwNuP3vpVw/dvnO7jnZ8CxLXDiD/CrD9G9oVE7rUnUKfFka8uv9HvWpa+ZSxOgCRMm0L9/f/bu3Uvr1q1ZuHAhHh4ejBo1CoDRo0djNBr55JNPAK156/XXX+f//u//iIyM5MiRIyxatIiRI0daj7ls2TKuvPJKrr/+egBmz55NWloaY8aMqf4HKIRwX8ZC+PEp2DpHu93mOrjx/aobtVWdBk6D/Wu0Ifqb3oOej1TueCYjbPtEG3KfdULb5hsMifdBh5u0bWcPFF/2a32p8s5A7hkwF0H2Sdj+OfQr/Z9nt5byF3w5Ukt2QEtk+j4Dba6FAz/Bske1ffOvg9YDIeNI6cmmXyhE99JmB4+/U+urVhEFmfDpLXB8M6Tthvt/dV5i5SCdUkq55MzFypsJ+o477qCoqMjaxGU0Gnn11VetHZ+zsrK4/vrrefbZZ/H11drLP/vsM2bPno1SCoPBgLe3N1OmTCm3BuhiWVlZBAcHk5mZSVBQkPMftBCibkg/BP9+C/vXaiO2gptpl6CmWofhY5sAnfafbu/HXfZFXyX+/ASWPaw97gf/p9UoOEop2LUM1k6Bs/u0bfUioMdD0GX0pZNFpbTh+csehvCO8MCvjsdQl/25AL5/AkwGre/WlZO0hFLvcb5MQVZx0+Jc2/uGtoTmiVqyeXQjFF3QTNaqP9y2sOx+amXJS4dPb9KaL32DtZGMTRMufT8HOPL77fIEqCaSBEgIUYJSWtPAuaPaYqH/LIGTf5Z/H59guHk2tL66emKsTkrB/MHagqqt+mtzEtnbOdts0mof1k/TmllAG2p/xZOQMNqxH9bcs/BqK1BmeGwnhNTxQSy5Z7REoihPmz6hKF+bRyo0BuqFa69BUT788ISWHAJcNgBu+kBrzirL4d/gyG9aDVHzblCv4fl9piItaTn4M/z6evHyK/3g9s+0hXftjfuTIZC6Q6tNGrkUGneq8NNQFkmAKkkSoJpt86F0XvlxN1e1C+feK1qgq+4RMcJ9pPwNP0/Xml3OHbP9Lxi0eXmi+2gLiuo9taaazOPaxScQrn4Rwlq6JvbqcGY/vNdTq2Ho/bhW03Vh7UKJ8vtg+2fw1yKt2Qq0+Y16PKQ1o/lW8Pv24wFwbKM2UWPiPRU7Rm3w2yxtkVplLn2/lz/Uj9HWgks/qL0/+z7j3NrHw7+eX4OuRTLc/vmlZyLPPgULbtCa1gIaaclPeDvnxHMRSYAqSRKgmkkpxfzfD/Pi97swmrW37bBukUy5oQMeetskaFdKFq+t2ktWQREhfl7U9/cmxN+LZqH+3N61OV4edagpQlSNAz/BFyOgMMd2e0AjaNQG2t0Aba/XFhV1Z7+/pc0UDdCir1bjFdDg/H6zCf5dChvf0/p9WPiGQPww6D2+8s/hr29oiUGr/lon87po3xptAk2U9tx5+RXPIO6ndXLOOm6bGPmHwc0fQ8u+zo/lyO9aP56iXIi5Au5YVHJOqLx0rZ/Y3pWwf7XW9yewMYz6Dhpc5vyYikkCVEmSADmfUoofd6byw85UbkloRlLrhpe+0wUKikz895sdfLNN6yCZGB3KliPpKAVXtwvnzTs64+vlQZHJzHvrD/DWT/soMpX+1n7pxo4M6xZZ6cck6rC/FsHSh8Bs1Gp4+vwHQiK1vj2O9ntwB39/qY3qKcrTnqNb52vNG399rtVapBfP7q/z0JKU+GEQe03FO9Je7PQeeCcRPLzh/w6BTz3nHLemyDgMHyRBwTmtiXDwzJJljIVa82zGIW028ZZXQmB41cV0dKM2qWdhjta05heq1QR5BWgjHlO22yZkoS205LSKR31JAlRJkgA51z8nM3nhu3/ZdCjduu3qduFMvK4dzUPLrjotKDJxNreQlHP5TFr2D/+czMJDr+Ppa9owtncMP+5MZdwX2yk0mukSVZ8nBsTywnf/8m9KlvUcg+OacC6/iMy8QjYdSmfDvjNc2aYRH9/Vtcoft6iFlNKGYK+ZrN3ucAsMedd5P9R12al/tdFGZ/eB3kubPDHnlLbPrz50ux8S7qqaKQCUgjc7az/+t32qNUnWFUX55yfQbJoAo1fUnPfjsc1arZRlaP3FGrWH1gO0S7Ou5TePOokkQJUkCZBznMkx8NqqvSzachSlwMdTT3JsQ9bsSsNkVvh46rk/qSXXxzdh36ls/k3JZldKFvtOZXM620Buoe1ikKEB3rw9rDM9W56vXt948Cz3LNhKdoHRuq2+vxfP39CBwZ0a2/QP+vdkFoPe3ICvl57tz12Nr1fVfxhFDZBzGv76TKulKMzRRhkFFl/8w7T/VovytcngMo9r1fUAPR6Gq6bUrZFbVc2QDUsf1kbGgVYb1ONhSBhV9ctm/Pi0Njlj/HAY8k7Vnqu6KKXVRG5fqL1X7/tFG2VYkxiytekJLEu5FOVqNafNEl3SIV0SoEqSBKjyjqXnMeSd3zibWwjAdZ0aM+GaNjSr78/eU9lMXvYPvx84e8njeHnoCAvwoV2TIKYM6UDTkJIjDnanZjFqzmZOZRkY2D6CKUM60DCw5H9ISil6TPuJ1KwC5o3uSnKsm/fdqCuMBlg3VUtirMPQm2lfzNsWwO4ftLliHDHgJa1jrnCcUtp6YcoM7YaAp3f1nPfgz7DgevBvAE/srZbaBqfISdP6SP3zrTbSKrgphF0GDVpp8yNtfEfrzDxiidbpWJTLkd9vl06EKOqmQqOZhz/7k7O5hbRqVI+XbuxIYsz5Vatbhwey8O5urNiZyrQVuziVaeCy8Hq0axxE28ZBtGkcSONgP8LqeRPo43nJUV5tIoJY9VgSR9Pz6NA0qMzyOp2Ovm0a8vnmY6zfc1oSoLrizwVaP5PyNE3QFvVsEAs5qdqolJxUyDt7viOpV4D2t3k3iOxWPbHXRToddLyl+s8b1VObdiDvjDa0vnli9cdgr/wMLeH55xttVNWFfWXO7NUuey4of+VzkvxUAUmAhNNNW7GLv45nEuznxfwxiaXW2uh0OgZ1bMw1HSIwK0qM4nJUsL8XHf2DL1kuObYRn28+xk+705g0uJ0Moa/tlIIts7XrsYPAu17xUPRjWqfQdtfD5aO0BUZF3ebhpS0u+883sGdFzUuATEY4sFabBmDPCm3qAIumCdD+Rm0UXW6aNr3Amb2QfgDC20Ovx1wWdl0mCZBwqh93pjL3t8MAvHZrXKnJz4V0Oh0e1ZiD9G7VAC8PHUfT8zh4JpeWDevYaBF3c3gDnN6t1d7c+L42u6xwX7HXaAnQ3h+h/6SKH0cpLYk+uU0bWdayX8U7HmeegC0fwbaFWnJj0agddBqqJT4Xz6Ldsl+FQxf2kwRIOM2x9DyeXPwXAPde0YL+7apwCGYFBfh40i0mjF/3n2Hd7jRJgGq7zR9qf+Nul+RHaEPsdR6Q9q+2plX9qEvfx2jQOvGe3q3d7+R2bYbvvAv6KPrVh463amtgNY7TmvmUguxUbeRZYS4ENdH6n/kGa/uOb9HmPvp3KajiAR3+DYqPcwdEdLJ/5mxRJSQBEhVSUGQi12DEU69HrwcFPPzZn2QXGOkcGcKTA2JdHWKZkmMbagnQnjTu7iOrR9damce1Ds5Qt2f/FfbzD4XI7tqSDntWQNvrtNmnz+6Hc0e0CQOL8rSEpShPm907/eD5BOVCek+tlib3jDZr9eYPtUuDWK1TcsZhbcbli3kHgl+IVoNkEd0Hut2nLTbq4VVVj144SBIg4bDv/jrJ09/sIMdgLLEv2M+Lt4ddXqNnWu7XphEvfr+LzYfSyTEYqecjH4Naaetc7Ycrug80auvqaERNEXuNlgD9+JR2sYdPEDRsAw1jtRqeJpdrfW+8fLWZrA+u05qwdn8PZy7onazTa4uM+gRpfc/y06EwW7t4+ECnW7X5jyI6Vs1jFZUi3/zCbmaz4rXVe3hn3YFS93t76Jl5W/wl+/24WkyDAKLC/DlyNo/f9p9hQPsqmJhNVC2jAf6Yp12X2h9xobbXw08vaguF6j21tbEaXKb1s/EJ0uYjssxYXK+RljwHNi67OUpfPHt1q/7a6K0D67Q1y+rHaLODX1ijU5ir9fnJSdVqjy5cEkTUOJIACbtkFxQx/ovtrNmldeK774oWPFHczGUyK0xmhaeHDh/Pmj/3hk6no29sI+b9fph1u9MkASpLUb6WZPwxX5uErcNN2rwuAWGujkzrV5F3BgKbQOy1ro5G1CT1o+DRbdr7NyQKPJz4M+dXX/sclMU7ABq21i6ixpMESFzSkbO53D1/K/vScvD21DP95o7c2Pn8bKS1cULlvm2KE6A9aSilZDj8hQrz4I+52tw6lqUMAI78Civ+Txuq2/EW7T/tS60CXVUsnZ+7jHHuD5yoG4KauDoCUQvIN4co157UbO6cvYkzOQbCg3z4YEQX4puHuDqsSusWE4qflwensgzsSsmmXROZ8RuzCbbOgZ+na4spAgRHQu9xWtX+jsXaekT7V2uXH/5PG8bbZbTWX6K6nNymjbDRe2lLLAghRAVIAiTKtPNEJiM+3kRGXhFtGwcxf3RXGgXVjZWwfb086NUqjDW70li3J00SoNQd2mreJ/7QbodEQp8nIO6O80sZ9BqnjajZ+bW2ynfGYW1+ky0faQsddrpN6ycRGlN1cZqM8Mur2vX2Q7Q+HEIIUQGSAIlSbT92jpEfbyKrwEhcs2Dmj0kkxL+a1vSpJsmxjbQEaHcaD/Vt5epwXKMwF9a/DP97RxtR5RME/SZqtTqlDddtcBkkT4Ar/g8Ordf6CO3+XquROb5FKxPaQkuEWl6pLSnhV985seachsWjtckP0UG3B5xzXCGEW5IESJSw5XA6o+duIcdgJCGqPnNHdyXIt+7NXdGzpdaZd+fJTBdH4gJ56fDXIm2itsyj2ra218M1r0BQ40vfX6/XZqtt2U9bV+vvRbB3JRzbpM2rYpkzBaBhWy0Rat5Nq1kyGrSLyQBFBdrImvwMbQhxXjr4BGrLWrRI1oYhAxz/A74coQ019q4HQ96FZglV8tQIIdyDrAZfCndeDX7niUxuff9/5BeZ6N4ilI9HdSWgjs6Tk11QRMfJqwDYPWUgvrWxN7cjlIKj/9Nqbf759vxaREHN4NpXtflTKqsgCw79oq15dPBnbS2jivIOhNZXQ1gr+PUNMBVqq2TfvlCbr0UIIS4iq8GLCskvNPHoom3kF5no3aoBH43sgp933U0K6vl44qnXYTQrMvIKaRxcs+cvqhSl4MuRsGvZ+W0RHSFhtNZ3x8dJS4L4Bmmz77a9TrudcxqOb4ajG+HYZm15AS9fbZI4T19tfSW/EK2ZzC9U+5txGHZ9p82+u/Pr88ducx0MeU87hxBCVJIkQMLqxe//5eDpXMKDfHjrjs51OvkBbT6gEH9vzuQYyMgtqtsJ0NGNWvKj99Q6NieMhqaXV/1aRPUaQptrtYsjBr6sjfbatVSrSWp/I/R8VGt6E0IIJ5AESACw5t9TLNyk9QV57dZ46gfUrQ7PZanv78WZHAPn8gpdHUrV+t/b2t/4O+H6N10biz30eq2Pj/TzEUJUEfl3SnA628BTX/8NwN29Y+h9mftM316/eGRbRl6RiyOpQmcPaCO1AHo85NpYhBCihpAEyM0ppXhy8V+czS2kTUQgTw50r86lIf7a6LaMulwDtOl9QMFlV0vnYSGEKCYJkJv7ZOMR1u85jY+nnjfv6Fwr1vJyJksNUJ1tAstLh22fatel9kcIIawkAXJjBqOJV1fuAeDpa9rQOjzQxRFVv5AASw1QHW0C+2MeFOVBeAeISXJ1NEIIUWNIAuTG1u85TVaBkYggX0b2iHZ1OC5xvg9QHawBMhaen4ywx8NVP+JLCCFqEUmA3Niyv04CMDiuMXq9e/441i/uA3SuLtYA/fMNZKdAvQjocLOroxFCiBpFEiA3lWMwsnbXKQCuj2vq4mhcJ6Su1gApdX7oe+I95xc0FUIIAcg8QG5r9b+pFBSZiWkQQIem7juz7vlO0LW8Buifb7VlLgqywJClzbicugO8/KHLGFdHJ4QQNY4kQG5q2Xat+ev6uCbo3LhvSP3aPgzebIbVE8/X9lzs8lHgH1q9MQkhRC0gCZAbSs8tZMO+MwBcH9/ExdG4lqUJLDO/CJNZ4VGb+kIZC2HpQ7DjS+325aMgNAZ8gsA3WEt8onq7NkYhhKihJAFyQz/sSMFoVrRvEkTLhk5aBLOWskyEqBRk5RfVniVADDnw5Qg48BPoPOCGdyD+DldHJYQQtYYkQG7IMvrr+jj3rv0B8PLQE+jjSbbBSEZeYfUnQPnntD47Xv7g5QeefuUv+GkyQsp2+OEJbbFQL38YugAuu6q6IhZCiDpBEiA3c/JcPlsOpwMwWBIgQJsMUUuAqrEjtMkIv74BP78MZqPtPu9AaNAKGsRqS1c0aA1ZJ+Dgejj8q5YwAfiHwbCvZMFQIYSoAEmA3Mzyv0+iFCRGh9IkxM/V4dQI9f29OZaeX33LYZw9AEvug+NbtNsePmAynN9fmK3V7pzcVvr9fYOhRTL0e05LlIQQQjhMEiA3Y5380M07P18opLpWhFdKW5pi5X+15Sl8guHaV6Hjrdo+Yz4U5WtD2M/shdO74fQe7bpffW0pixbJ0DgO9O61ZpsQQjibJEBuZH9aDjtPZOGh1zGoQ4Srw6kxzs8GXYU1QJknYPljsG+Vdju6Dwx5D0Kaa7d1OvAO0C4BDbSmr7aDqy4eIYRwc5IAuYmfdp/i6W92ANC7VQPC6vm4OKKao0rXA1MKtn0CK5/R+u54eMOVk6D7g+V3dhZCCFGlJAGq4zLzinhh+b98/edxAGIaBDDxurYujqpmCfGvohXhzx2D7x7VhqoDNO2iDVdv1Ma55xFCCOEwSYDqsLW7tFqftGwDOh3c3TuGx6+Kxc9b+o9c6PxyGE6sATr1D3w8QOvQ7OED/Z6FHg9J3x0hhKghKpwAFRUVkZKSQmRkJGazGb1U59cYRSYz01fsZvavhwBo0TCAGbd0IiFKlkQojbUGKNeJNUDrp2nJT+N4uHk2NLjMeccWQghRaQ5nLQaDgQceeICAgAD69u0LwNixYxk7diz5+flOD1A45uS5fG774H/W5GdMrxh+eLSPJD/lcHofoDP7Yddy7fqN70vyI4QQNZDDCdCECRM4evQon3/+OY0aNQLgo48+om3btjz++ONOD1DYb/2eNK59cwN/Hj1HoK8nH4xI4LnB7fD1kmaX8jh9Rfj/vQUoaD0QGkl/KyGEqIkcbgLbunUr69evx8PDg3feeUc7iKcnTzzxhLVGSFS/7/46yaOLtqEUdGgaxLvDEogM83d1WLVCiDNXhM8+Bds/1673Glf54wkhhKgSDidAJpMJDw+tRkEpZbMvPT3dOVEJhyilmLlmL0rBzZc3Y+qNHaTWxwGW9b8MRjP5habKdRLf9L42q3OzRIjs4aQIhRBCOJvDTWBBQUF89NFHAOh0OgBycnJ49tlnadq0qXOjE3b534GzHDidS4C3B5OvlyYvRwV4e+Dlob2XK1ULZMiGLR9r13uN0yY3FEIIUSM5XAP05ptvMmDAAJ588klMJhMxMTGkpKTQrFkzVq5cWRUxiktY8L8jANx0eTMCfb1cHE3to9PpCPH35nS2gYy8woqvkfbHPDBkQthlEDvIqTEKIYRwLocToNatW7N7924WLlzIP//8A0DHjh0ZNmwY3t7eTg9QlC8lM5/Vu04BMKJHlIujqb3q+3txOttQ8Y7QxkL437va9V6PyizPQghRw1VoHiAfHx/GjBnj7FhEBXy+6Sgms6JbTCitwwNdHU6tFVLZofA7F0P2SagXAZ1uc2JkQgghqoLD/6b++OOP3HTTTbz55pvWbe+99x4TJ07EaDQ6NThRvkKjmc+3HAOk9qey6ldmOYzcs/DzdO169wfAU9ZZE0KIms7hBGjGjBkkJCQwfPhw67ahQ4diNBoZP368U4MT5Vv5Tyqnsw00DPTh6nayuntlWOcCynWwBqggCz69CTIOQ1BT6DLa+cEJIYRwOoebwIqKinjmmWdstoWFhTFt2jSuuOIKpwUmLu2T4s7PdyRG4u0pfU4q43wTmAM1QEX58PkdkLId/MNgxLfgG1wl8QkhhHAuh381s7OzK7RPONfu1Cw2H07HQ69jWGKkq8Op9SxNYOFpv8KiO2H/2vLvYCqCL0fBkV/BOxCGfw0NW1dDpEIIIZzB4QSodevW3H///Rw+fNi67dChQzz44IO0bu34D8CSJUvo0qULffr0ISkpyTqyrDRKKV588UXi4uJISkqiS5cufPjhh5U6Zm1lqf25ul04EcG+Lo6m9qvv781wj9Xcc+wp2L1ca9Za9qjWxHUxUxF8+wDsWwmevjDsC2jSufqDFkIIUWEON4G99dZb3HjjjbRs2dI6I7TJZKJnz558/fXXDh1r8+bNjBw5kq1btxIbG8uCBQsYMGAAu3btIjCw5IimOXPmMGPGDP7991+aNm3KsWPH6NChA02bNuXaa6+t0DFro7xCI0u2nQBgRHfp/FxpZjOJ+15nqNdc7XbTBDjxB/w5Hw78BNe/BdF94PAvsPMbLUHKzwC9Jwz9BKJ7uTZ+IYQQDnO4BqhRo0b89ttvrFmzhtdff53XXnuNtWvXsmHDBuviqPaaPn06gwYNIjY2FoDhw4djNBqZP39+qeW3b99OmzZtrDNON2/enNjYWFatWlXhY9ZGB0/nkldoIjTAmx4tw1wdTu1WlA+L7yJ67xwAPvYaBnevhbu+h5AoyDwGnwyBGS3hkxth2yda8hPQEG6ZA62vdm38QgghKqTCPWf79u3Lww8/zCOPPEJycjIAa9deot/ERdauXUvXrl3PB6PXk5CQwJo1a0otf8MNN7Br1y527NgBwF9//cXOnTsJDw+v8DFroxPn8gFoHupvXY5EOCD3LOxZAWsmw4fJ8O9SlN6Lxwof5E3jjdoSFtG94YHfoevd2n0KzoFfKCTcBSOXwX/2QLsbXPcYhBBCVEqFJkLMzc1l//79ZGVl2SyI+uSTT/Lnn3/adYyzZ8+SmZlJRITt8O2IiAi2bNlS6n369+/P3Llz6devHw0bNmTPnj306dOHBx98sMLHBDAYDBgMBuvtrKxS+n3UICcytASoaYib9P0xm0GZwaNCb9fzdiyG9dPg7H7b7b4hZN4wj2/n56ErKMJkVnjodeBTD659DbqMhfx0aN4NPGSpESGEqAsc/kX55JNPePDBB8nNzS2xz5HaiLy8PECbVfpCPj4+1n0XW758Offeey+rVq0iISGBgwcP8uWXX+Lv71/hYwJMmzaN559/3u7YXe3kOUsCVME1q2qTvHRYeCuk/AWNO0HTLtCsKzRLgOBI+5Oi7Z9rHZcpTtgbtIbmiVpSc9kA6vk3BFagFGTmFxEacMGyLuHtnP2ohBBCuJjDCdCUKVP47LPPSE5OLtGpuG/fvnYfx5K0XFjzYrlt2XexZ555hptuuomEhAQAWrRowb59+3j44Yf58MMPK3RMgKeffprHH3/cejsrK4vmzZvb/Viqm6UJrMKLdtYWOWmwYAikFY/iO/GHdtn8wfkyviHaHDz+YRAaA70eK5mw/P3l+eSnyxjoNxH8Q22KeAKBvp5kFxjJyCu0TYCEEELUOQ73AYqMjGTw4MGljqhaunSp3ccJCwsjODiY1NRUm+2pqam0aNGi1Pvs27eP6Ohom20xMTEsXry4wscErYYoKCjI5lKTnagrNUBKwYIb4J3uWpJiNp3fl5UC867Vkp964TDqO7j5Y+h2v1YLpC9uiio4B+kH4Phm+PsLeL8XfDdOS55Aa/Zach+gIGE0DHqtRPJjYZ0NuqLrgQkhhKg1HK4BGjhwID///DNJSUkl9j366KPMmzfP7mP169ePrVu3Wm8rpfjzzz9LzDRt0bRpU1JSUmy2paSk4Od3PhFw9Ji1kbUJrH4tT4ByT8PB9dr1b+6BDa9B3/9qc+rMvx4yDmnLS4z6DsJaauU63qL9NZu00Vh5Z7VL7hnY8RXsWgZ/zNMSnw43a6O2lBk6j4BrXy93lfb6/l4cTYeM3AquCC+EEKLWcDgB+v7775kyZQrh4eE0btzYOhcQaMPUHTFhwgT69+/P3r17ad26NQsXLsTDw4NRo0YBMHr0aIxGI5988gkAY8aM4fXXX+f//u//iIyM5MiRIyxatIiRI0fafczarqDIxJkcrYai1tcAnTuq/fUK0DoXn94NX47UanfMRdow9FHLoH50yfvqPSCggXaxaHc9HPkdVj4DJ//U5vEBiL8TBr9ZbvIDTlgRXghRqkKjmdM5BpTSBhh46HTodDr0xd1GLUNplAKD0URBkYn8QjP5RSaMJjOeHno8PXR46fV46HVk5BVy8lw+qZkFpGQVkJ5TiEkplNL+6VWAh16Ht6ceHw893p7a5eJeql4eevx9PPH39iDA24NAXy86NA2iZcN6MsLWDTicAB0+fNimv8zF+xyRmJjI/PnzGTZsGH5+fuj1elauXGltXisoKKCo6Px/408++SQ6nY4hQ4bg7+9PVlYWDzzwAM8++6zdx6ztLM1fAd4eBPvV8hFJ57TZrGncSZtN+X/vwv/egcJsCG2pJT/BzRw7ZlRPbR6fnV/DbzO12wNfvmTyA+eXwzhXkRXhhXBDxzPy+G3/Gf45mYVSoNdRnNjoOJdfyPH0fI5n5JGaVYBZXfp4NUWDet4kxoSSGB1Kq0aBmJTCaDJjNCvMZkWQnxehAd6E1fMm1N8bT4+avxZjkclMRl4hGblFpOcWci6vEA+9Dn9vT/y8PQjw8SDA25N6Pp4E+Hjavb6kyawwms2AlsAC6HW6WrE+pcMJ0PDhw5k0aVKp+3x9HR+WfeONN3LjjTeWuu/zzz+3ue3p6cmECROYMGFChY9Z213Y/FXr/0Ox1ACFRGqLiPZ9GrrdB/tWQaurIKCCkzzq9dDpVu3iAKkBEqKkgiIT6bmFpOcWcibHwJmcQv48msFv+89w5GzZo2sv5u2hR6cDs1KYlfbDWRpfLz2+Xh74FV889DqMZkWRyYzRpDCaFfX9vYgI9qVxsC+Ng/1oUM8bD72+OAEDHdp9Co0mDEYzhUYzhSazzXmU0pKC3EIjeYUm8gwmzuYa+Pt4JmdyCvlhRyo/7EgtNcaLNajnTWSoP9FhAUSFBRAV5o+ft4f1PKAlhwHFtU31fDzx9/FEr8P6mExmM/mFZlIy80nJLOBkZj4p5wooNJrx8dLj46k9L97FyZYqPrZCUWg0k11gJMdgJKfASLbBSH6hkYIiMwXFNWoFReYyoi+dj6eeej6eeHrY/s6YlVajV2g0YzCaykxs/bw8CA3wpn6AF/X9vQn28yLA2xN/n+LH7+1JbEQ9+rUJL/0A1aBCo8AsTCaTTRPYU0895ZyoRJkscwDViRFg1gToguU8/EMh7naXhFO/IivCC1FH5BqMbDx4lr2ncjh8JpdDZ3I5dDaX09mGMu/jodfRuXkICdH18fX0QFmSG6Wo5+NJ81B/mtX3o3l9fxrU8y7xT5tSqsb9I2cwmvj7eCabD6Wz8eBZ0rIMeHro8NTr8NBrtVtZBUWczSkkPa8QpeBMTmFxYnjO1eGXS6fTvufq+2tJiVkpLfkrNJFXaCTXYCK/SBuMYjCaMRgr/s9gfpGJE+fyra0WpRkc16R2JUBKKWbMmMHbb7+Nj48P+/bt45FHHqFRo0Y8++yzNe7NXNfUqTmALqwBqgHqB1iawKQGSLiHo2fzWLv7FD/tTmPTwfQStSQWnnodoQHe1mafyxoF0ueyBiTGhBLoW/Gm+Jr4e+Hj6UHX6FC6RofyUN9W5ZY1mRXn8gpJySzgyNk8Dp/N5cjZXI6m51FkOl81ogOMZkV+ocla45RjMILSkkhLguXtqSciSKvVahziS5NgP3y9PTAUmYoTEq3WRTumrri2C7w99QT6ehHo40k9X8/iGhYPfL088PXS4+PpQYCPJ8F+Xtokr+UwmszkGkxkG4rILjDa1NRZate8PbUaKZ/ivlUXH9Ns1uZTO5trICOvkLM5hWQXGLUkq9BEnkH7G988xKHXxtkcToCmTp3KN998w7hx4/jiiy8AeO6555gyZQoTJ07kxRdfdHqQ4rzjdWkOoBqWAEkTmKgL8gtNHDyTw6msAs7lFZGZX2T9ezrHwOlsA2eK/2YXGG3uGxnqT+fIEGIaBFgvkaH+BPt51chkxdU89DrC6vkQVs+HDk2DXR2OU3h66An21xPsX7k+psH+XkSGlT3/Xk3gcAK0YsUKfv31V/z9/fn+++8BaNiwIbNmzbKuCSaqjqUJrFltHwKvVI1LgKQTtKguRpOZw2dz2Xcqh6PpeRxNz+NYRj7H0/PINhit/V0KTWZQEFbPm0aBPjQK8qVRoA/1fDytfWksI6eOpudx8HRuuU0OF/PQ6+gaXZ8r24TTt00jWjYMkERHuA2HEyCdTlfqrMo6na7U5TGEc53MrCNNYLmnwVgAOr02108NEOInNUDC+cxmxe7UbDYfOss/J7PYlZrF3lM5FBrt75SakllASmYBkGlX+fr+XjSr70+IvxfBfl7Wv2EBPjQM9KFBPe1v42BfAnwqucaeELWUw+98vV7PqlWruPrqq222z549u9zlJkTlmcyKlHMFQB1oAssoHgIf2AQ8a8ayEyHFNUAZeUWV6pxZUGQiNbOA0zkGosMCaBjoc+k7lePI2dziH7Ga8TwJW7kGIztPZJJXZMJsVpjMCrNSnDxXwMaDZ9l0KJ3M/JK1iv7eHlwWHkh0mD/N6/sTGepPs1A/Qvy88fbU4eWhx9NDj1KKszmFnMoqIC3bQFq2gYIik7U/hl6n9dFpVt+fFg0DaNGwnizlIoQdHE6AXnnlFQYOHEhkZCQpKSn07duXffv2kZeXx+rVq6siRlHsdLYBo1nhqdcRHlTLV4K3zAFUQ5q/AOoX/2gUGrUJ2Py97ft4/Hsyi0VbjvLn0QxSzhVwNte2Bik2PJAeLcPo1aoBXaPr29Wf4nS2gWV/neTrP47zb0oWzUP9WPnYFXbHJJyryGS2DiUuKDJx8EyultwcPMvfxzMxXmKSmwBvD7pEh9I5MoQ2EUG0bRxI8/r+6C/RIdWiWX3551IIZ3P427R79+7s27ePt956i3/+0RapvPvuu3n44Ydp0KDBJe4tKuPEOW3OjYhg30v25K/xalj/H9B+pLw8dBSZFBl5ReUmG/mFJpb/fZLPNh9lWylDXy1zYJw4l8+eU9nsOZXNvN8PW/eFB/nQKNCXhkE++BfPdaIvniH3xLl8ft572mb0xbH0fD74+SDjr2rt7IctypBXaOTNtfv55H+HyS00lVu2SbAvYfV8il9DbSK4ID8vukaH0qNlGB2aBNWKyfKEcCcOJ0BvvvkmPj4+vPDCC1URjyjH8To5B1DNSYB0Oh0h/t6czjaQkVtYaj+rMzkG5v52iE/+d4Ss4hE0nnodV7cP5/q4JkSGBtAkxNday5OeW8jGg2f5bf8Zfj9wlkNncskvMnH4bB6HLzGJXFzzEG65vCkeej3/XbKDD345wG1dm9eN178GU0qx8p9TvPDdP5zMLCix38dTT6MgH7rFhNG9RRjdYkJpHio1NELUNg4nQP/973957733qiIWcQkni/v/NKsLP4A1MAECrfPo6WxDiZFgJ8/l8+EvB1m05ah1RtVm9f24IzGSW7s0o1Fg6U2SoQHeDOrYmEEdGwNarUJaltaPw9Knw2C09B3RJpDz9dJzdbtwWjXSlm9RSvHtthNsPpzO9B93M+v2zlX4DNR+RSYzO09kcvB0Ll4XzFfi4+lBkJ8nDev5EBpgu3yB0WQmPa+QlHMFzFyzl3V7TgPaYINJg9vRLSbMOhuvjJISom5wOAHq3bs3I0aMKHXfwYMHadGiRaWDEqWzNIHViRqAGpoAXTgXUFZBET/vOc2qf0+xYkeKtZ9HXLNgHkhuxdXtwu3uw2Hh7+1JdANPohsE2H0fnU7Hc4PbMfjtX1m6/SQje0STEFXfofPWBUUmM2dyDKRl2c5fo9Npk8ztPJHJpkPpbD2cTt4lmqwsM+IG+XpyrnienAt5eei474qWPNS3lXVJAyFE3eJwAtS/f39WrFjBNddcU2Lf3XffzU8//eSUwERJlhqgpnVhDqDMY9r1GpYAWeYCennFbsZ/sd2mc2vPlmE8mNyKXq3Cqr0WoEPTYG5NaMaXW4/zwvJ/WfJAT4eTL1dKzy1kxso97EnNwtNDj5eHDk+9Hl8vPS0a1qN9kyDaNwkmKtQfnQ4OnsnlzyMZ/Hn0HDtOnCPlXIF12QF7BPtpq3prc+SYi1cYN3Mur4j0XANmhXV9KwudDkL9vekcGcLTg9rSsmG9Kno2hBA1gcMJ0Pfff8+UKVNo0KABzZo1s1kLbPv27c6MTVzEMglirZ8DKCft/BxAjq72XsUsQ9Ytk8m1bBhA/7bhDOrYmDgXT9v+xIBYvv87hb+OnePb7Se46fKa9dyV5afdp3jq6x3lrCl1ynqtno8nHnpdqcPGQZu4r2E9n+I+VtgkRDENAujWIpRuMWG0iQgsM0E0mRUZedrCntkFxuL5cbwJ8feu/YMLhBB2czgBOnz4MI8//niZ+0TVUEpZf5RrfROYpfkrqCl4VG66dWcb3SuGIqPisvB69G8b7lBTVVVrFOjLQ/1a8cqPe5j+424aBfri5128ara3B40CfWrUpHa5BiMvfr+Lzzdrr3erRvV4pF8rPPV6ikxmikxm8gpN7E7N5t+TmexKzdbWR0LraNypWTCXR9anc2QIUcXzKYX6e1e65stDr6NBPW0yQCGE+3L423L48OFMmjSp1H2+vrV8bpoaLKvAaP1xqPU1QDVwDiCLlg3rMf2WTq4Oo0xjesXw+eajHEvPZ/jHm2z2eeh1dGoWTPcW2uikLlH1qzQhyswv4s+jGfxxOIM/jmSQV2jEx0tLyHy99PybksWxdC1pH9s7hicHxOLrVXZ/GqPJzIHTuRSZzLQOD8TbU4aNCyGqjsPfjlOmTLFeN5lMNk1gTz31lHOiEiVYmr/CArxrf6fMGtoBujbw9fLg1VvimLFyD9kFRvKLTNqleHXpbUfPse3oOd5bfwAPvY62jQPp3FyrRekcWZ/oMP8K9V/KyC1kV2oWu1Ky2Z2SxY4Tmew5lX3JPjlNQ/yYcWsnera89Bxhnh56YiMCHY5NCCEqwuEESCnFjBkzePvtt/Hx8WHfvn088sgjNGrUiGeffVaGiFaROtP8BZIAVVK3FmEsfqBnie3HM/LYdDCdjQfPsvHQWY6l57PzRBY7T2TxyUat1s3f24OIIF8aBfkQHuRLeJAvDep5ExrgQ1g9b8ICvFEK9p7KZu+pbPacymFPahanskrvvxMd5k+X6FC6RNWnYaAPBUXaLNoFRSa8PHRc07ExQb41q5lTCCGgAgnQ1KlT+eabbxg3bhxffPEFAM899xxTpkxh4sSJvPjii04PUmjz0EAdaP4CSYCqSLP6/jRL8OfmBK1z9Mlz+cU1QhlsO3aOHScyySvUlnE4eMbxhYsjQ/1p2ziweCmHIBKKkx4hhKiNHE6AVqxYwa+//oq/vz/ff/89AA0bNmTWrFkkJyc7Oz5RTGqAhKOahPjRJMSPaztpkzAWGs2cOJfPqayCCy4GzuYYOFs8JDw9txCjWXFZo3q0Dg8kNiKQ1uH1iI0Iol4N6mAthBCV5fA3mk6nK3XVd51OR26u4/9VCvtYEiCZA0hUlLennpgGAcTUoJFtQgjhKg4Ps9Dr9axatarE9tmzZ5eaGAnnqJNzAAU1dXU0Qggh3JTDNUCvvPIKAwcOJDIykpSUFPr27cu+ffvIy8tj9erVVRGj4IIaoNqeAFmGwNfAOYCEEEK4D7tqgH7++Wd+//13ALp3786+ffsYMmQIV1xxBaGhodx9993s3buXhISEKg3WXRmMJussurW+CUz6/wghhKgB7KoBeuSRR/jggw8AWLVqFVdffTUvvPBClQYmzkspXgPMz8vDulZVrVWDJ0EUQgjhPuyqAQoJCaFHjx4AvPzyy2WWu/baa50TlbBx0joCzLf2z7MkNUBCCCFqALtqgIqKipgyZQpRUVGkpqayYMGCUssdOnTIqcEJzXHrCLA60MlcEiAhhBA1gF0J0Hvvvcfjjz/O4cOHSU1NLXMtsFOnTpW6XVTO+RFgdWCtNWsCFOXaOIQQQrg1uxIgX19f3n//fVq3bk3fvn1Zt25dqeX69u3r1OCEps6MADOb4ZzMASSEEML17OoDdMcdd7Bnzx6Acpe6WL58uXOiElZKKTYfSgegVaNavlBkbhqYDKDzkDmAhBBCuJRdCVBAQACDBw8GYOLEiWWWe/TRR50TlbD6NyWLo+l5+HjquaL1pVfUrtEszV9BTcFDllUQQgjhOnb9ChUUFPDJJ58QFRXFuXPn2LBhA0qpEuW2bdvm9ADd3cqdqQAktW6Iv3ctTxqkA7QQQogawq5f1Jdffpl7772Xw4cPo9PpSEpKKrVcrR+iXQOtKE6ArukY4eJIKinrJOxfo12XBEgIIYSL2ZUA9e/fn4MHDwJIJ+hqtD8th31pOXh56OjXJtzV4TgudQf8swT2roJTO85vb3CZ62ISQgghqMBaYLNnz67QPuG4lf9otT89WzYg2K+WzQCdeQI+7AvmouINOmiaALEDIfFel4YmhBBCOJwAtWzZssx948ePZ9myZZUKSJy3YmcKAAM71MLmr93fa8lPaAtImgCtroSAWt6JWwghRJ1hVwL05ptvEh4ezm233Ua/fv3KLLd9+3ZnxeX2jqXnsfNEFnodXNWuFjZ/7S6eEqHLGIi7zbWxCCGEEBexKwFav349MTEx3HbbbRw6dIi77rqr1HKHDx92YmjuzdL81TU6lAb1fFwcjYPyM+Dwr9r12EGujUUIIYQohV0J0DfffGO9PnTo0DKXwsjLy3NOVIIfLaO/amPz177VoEzQsC2Eld1kKoQQQriKXRMhXmj69Oll7rvhhhsqFYzQpGUV8MfRDAAG1MYEyNL81eZa18YhhBBClMGuGqCjR4/adbAnnniC33//vVIBCVj57ymUgvjmITQOrmXrfxUVwL7i+X4kARJCCFFD2ZUARUdHyySH1ejH4tFftbL569DPUJQLgU2gSWdXRyOEEEKUyq4EqFu3bixatAiAzZs3s2TJEu6++24iI7UZfY8cOcL777/PNddcU3WRuomM3EI2HtQWP621w98B2gwCSZqFEELUUHYlQK+++ipRUVEAPPLIIyxdutSmRqhVq1YkJydz7bXXMmbMmKqJ1E1sPZKByaxo1ageUWEBrg7HMWYT7PlBuy7NX0IIIWowuzpB9+rVy3r9yJEjpTaHeXh4cPLkSedF5qZ2p2QB0LFpsIsjqYDjWyH3NPgEQ1RvV0cjhBBClMnhUWCBgYE89thjNh2jjxw5wrhx4wgOroU/2jXM7tRsANpEBLo4kgqwjP667Crw9HZtLEIIIUQ5HE6A5syZw+rVq4mJicHb2xtvb29atGjB2rVrmTNnTlXE6FZ2pWo1QG0aB7k4EgcpdUH/H2n+EkIIUbM5vBZY69at2blzJ6tWrWLPnj0opWjXrh39+/eXkWKVlF9o4vCZXADa1rYaoDN7If0AeHhDq/6ujkYIIYQol8MJEIBOp2PAgAEMGDDA2fG4tX1p2ZgVhAZ40zCwli1/YWn+ikkC31pWeyWEEMLtONwEJqrO7hSt/0/bxoG1qzbNkAObP9Kut73OtbEIIYQQdpAEqAax9v+JqGU1KL/MgOwUqB8NnW53dTRCCCHEJUkCVINYaoBq1QiwM/vhf+9o1we+DF6+ro1HCCGEsIPDCdDatWurIg63p5Rid3ENUNvaMgJMKfjxKTAXQauroPVAV0ckhBBC2MXhBOjee+/l559/ropY3FpatoGMvCL0OmjVqJ6rw7HPnhWwfw3ovbTan9rUb0kIIYRbczgB8vf357vvvqN79+688MILHDlypCricju7imeAbtGwHr5eHi6Oxg5FBbDyae16z4ehQSvXxiOEEEI4wOFh8G+++SZ9+/bFaDSyfPlyxo0bR0FBASNHjuSmm27C19exPiBLlixh6tSp+Pn5odfreffdd2nfvn2pZZOTk0tsO3PmDFlZWdaZqSdPnsy3335LSEiItUxwcDBLly51KK7qVutmgP79Lcg4rK363ucJV0cjhBBCOMThBKhv377aHT09GTJkCF27dmX69OkMHz6c4OBghg4dyt13303Xrl0veazNmzczcuRItm7dSmxsLAsWLGDAgAHs2rWLwMDSE4H169fb3H7iiSdKDBmfOXNmqclSTWZZA6zG9/8x5MDWj2HDa9rtq6eATy1pshNCCCGKOdwENnbsWIqKili8eDGDBg0iOjqaH3/8kRdffJGdO3cyZswY3n33XcaPH3/JY02fPp1BgwYRGxsLwPDhwzEajcyfP7/U8nPnzrW5bTKZWLhwIaNHj3b0YdQ4Nb4GqCATfp4BMzvA6ufAmA8tr4QON7s6MiGEEMJhDtcAffvttyxbtoyCggJuueUWfvrpJ/r06WPd37RpU7p160aXLl0ueay1a9fy7LPPWm/r9XoSEhJYs2YNDz/8cInyMTExNrd//PFHoqKiaNeunaMPo0YpNJrZn5YD1NA1wHZ+A989BoZM7XZoS+jzH+g0VDo+CyGEqJUcToC8vb2ZOnUqQ4cOpV690ps+pk2bRlpaWrnHOXv2LJmZmURERNhsj4iIYMuWLXbFMm/evFJrf+bMmcPkyZMpKiqiVatWPPfcc7Rs2bLM4xgMBgwGg/V2VlaWXed3lgOnczCaFYG+njQJrmHz6JiK4IcntOSnYVu44glofyPoa0FHbSGEEKIMDjeBzZgxgzFjxtgkP0ajkRUrVlBUVATA008/be2UXJa8vDwAfHxs17zy8fGx7itPRkYGa9as4fbbbWcejoyMpHPnzqxZs4YNGzYQExNDQkICJ06cKPNY06ZNIzg42Hpp3rz5Jc/vTNb5fyKCat4SGAfXQ95ZCGgI9/8KHW+R5EcIIUSt53ACNGfOnBLbTCYTy5cv56abbrL7OP7+/gA2NS+W25Z95fn8888ZNGgQwcHBNtvHjBnD+PHj8fT0RK/XM3HiRHx9fXn33XfLPNbTTz9NZmam9XLs2DG7H4czWGeAblwD+//sWKz9bX8jeFRo7VwhhBCixnHKUhg+Pj688847ZGZm2n2fsLAwgoODSU1NtdmemppKixYtLnn/efPmMWbMmEuW8/DwIDo6mgMHDpRZxsfHh6CgIJtLddpl7QBdw/r/FOadX+W9462ujUUIIYRwIrv+pZ8/f751ZNb27dvp169fiTIZGRklmrMupV+/fmzdutV6WynFn3/+yTPPPFPu/Xbt2kVaWlqpcYwbN45Zs2bZbDt58qRNR+2axjIEvsbVAO1bCYU5EBIJzS49rYEQQghRW9iVAEVHR5OUlATAoUOHrNct9Ho9DRs25OabHRsSPWHCBPr378/evXtp3bo1CxcuxMPDg1GjRgEwevRojEYjn3zyic395s2bx6hRo0rtL7Ns2TKuvPJKrr/+egBmz55NWlqaXbVFrnA2x0BattYMGBtewxIgS/NXh1tktJcQQog6xa4EKCkpyZr0BAUF2TXHjz0SExOZP38+w4YNs84EvXLlSuskiAUFBdaO1RaWuX82bNhQ6jGnTp3KzJkzeeONNzAYDHh7e7N69Wratm3rlJidzTL/T1SYPwE+NaiPTf452LdKu97xFpeGIoQQQjibTimlnHWw5557jhdeeMFZh3OZrKwsgoODyczMrPL+QLM3HOTF73cxoH04H4y49NxJ1Wbbp7D0IW3o+0MbXR2NEEIIcUmO/H7bVeXwxx9/EBgYSOvWrctNcD799NM6kQBVp901tQP0jq+0v1L7I4QQog6yKwG68cYbadOmDatWreKNN94gPj6+1HLnzp1zYmju4cBpbQbo1jWp/0/2KTj0i3ZdlroQQghRB9mVAO3fvx8PD23yu8TERFauXFlquQEDBjgvMjeRZzABEOzn5eJILvDPElBmbeRXaMylywshhBC1jF0JkLe3t/V6WckPwJIlSyofkZspMGoJkK+XU6Zkco6dF4z+EkIIIeogp/7qXnfddc48nFswFJkB8PGsIctLpB+C41tAp9dmfxZCCCHqILtqgOyZmRkoMauzuLQaVwO06zvtb3QfCAx3bSxCCCFEFbErAfLx8WHChAnlllFKMX36dKcE5U5qXA3QnhXa3zZSmyeEEKLusisBeuCBB6yzM5cnKyur0gG5E6VUzaoBykuHY8Vz/sQOdG0sQgghRBWy61f30UcftetgZ86cqVQw7qbIpLBMQ1kjaoD2rdZGf4V30Nb/EkIIIeoomQjRhSy1PwA+NaEGaM8P2t/WUvsjhBCibpOJEF3I0v8HwMfTxQmQsRD2r9Wux17j2liEEEKIKiYTIbpQQZFWA+TjqS91ZftqdeQ3KMyGgEbQ5HLXxiKEEEJUMadOhFjePlGSwajVAPl61YD+P5bRX60HgL4GNMcJIYQQVciuBOhiO3fu5O2332bXrl3odDratGnDI488Qvv27Z0dX512YQ2QSykFe4sTIGn+EkII4QYc/uX99NNPiY+PZ8uWLYSHh9OwYUO2bNlCfHw8CxcurIoY66waUwOU9i+cOwqevtAi2bWxCCGEENXA4Rqg559/np9++okrrrjCZvvPP//M2LFjufPOO50WXF1nqCk1QJbmr5gk8A5wbSxCCCFENXD4lzc8PLxE8gOQlJRERESEU4JyFzWmBmjvj9pfmfxQCCGEm3A4AerQoQNHjhwpsf3IkSPExMQ4JSh3USP6AOWkwfGt2nWZ/0cIIYSbsKsJ7MLJDYODg+nZsyf9+/cnKioKpRRHjx7lhx9+kOYvB9WIGqC9KwEFjeMhqInr4hBCCCGqkV0J0MWTH7Zu3ZqjR49y9OhR67YOHTqwYMECZs6c6ewY6yyHaoAK88Db3/lB7JHRX0IIIdyPXQlQjx49+OGHHy5ZbtCgQZUOyJ3YXQP08wxYPw3u+h6iejgvgHNHYd8q7bokQEIIIdyIXZ1P7El+AGbMmFGpYNyN3TVAR34FZYJ9Tp5o8pcZYC6C6D7QOM65xxZCCCFqsApNhAhgMBhIS0tDWZYzB+655x5+//13pwTmDiw1QD6XqgHKO6v9Td3pvJOfPQDbiudt6ves844rhBBC1AIOJ0AnTpxg5MiR/PzzzzbJj3Cc3TVAuZYEaIfzTv7zK1qtUqurILK7844rhBBC1AIOJ0CPPvooffv25d133+Wuu+5i0aJFGAwGvv76a7KysqoixjrLrj5ASp2vAcpJhdwzENCgcic+vQf+/kK73ve/lTuWEEIIUQs5nAClpaXx7LNak4mvry9RUVEAPP3009x4443Oja6Os6sGqDAXTIbzt1N3QMu+lTvx+mmAgjbXQVNZ+V0IIYT7cXgGPv0FK4UXFRWRl5cHgMlkYs+ePc6LzA3YVQOUd8b29qlK9gNK3QH/LAF0UvsjhBDCbTmcANWrV48nnniCnJwcEhMTueqqq5g6dSoDBw6kYcOGVRFjnWVXDZCl+cuish2h172k/e1wE4S3r9yxhBBCiFrK4QTopZdeIiYmhsLCQp599llCQkJ4+eWXyc7O5r333quKGOss+2qA0m1vV6Yj9Ik/Yc8PoNND8tMVP44QQghRyzncByguLo64uPNzxnz//fdODcid2FUDlFvcBNagNZzZC2f2gNEAnj6On/CPudrfjrdCg8scv78QQghRR1RoHqCioiK+/vprdu3ahU6no23bttx00014eXk5O746zb4aoOImsIhOkHMKCjK1UVyNOzl2MlMR7PpOux4va7YJIYRwbw4nQH/++Sc33HADJ0+eJCwsDKUU6enpNG3alKVLl9K5c+eqiLNOMjjSByigAYR31GaFPrXT8QTo4M+QnwEBDSGqVwUjFkIIIeoGh/sA3XPPPdxzzz2kp6eTlpbG6dOnSU9PZ+zYsdx9991VEWOd5dAoMP8GENFBu16RfkD/fKP9bXcDeFR4AnAhhBCiTnA4AQJ47rnnCA4Ott4ODg5m0qRJTgvKXVj7AHmVVwNU3AnaPxQiOmrXHU2AjIWwa7l2vb3M1SSEEEI4nABFRUVRWFhYYntBQQERERFOCcpdWGuAPO3oA+QfBuHFNUCndmozRNvrwE9gyIR6ERDpxNXkhRBCiFrKrraQX375xXr92muvZeDAgYwcOZLIyEiUUhw9epQ5c+Zw6623VlmgdZFdNUCWUWD+YdCwDeg8tL48WSchuKl9J/pnifa3/RDQX2LhVSGEEMIN2JUAJScnl9i2fv36Ett+//13Hn300crG5DYcqgEKaABevtpw+NO7tGYwexKgogLYXTxVgTR/CSGEEICdTWBJSUmYzeZLXq644oqqjrfOUEpdugbIbNJqe0CrAYLz/YBO2dkP6MBaKMyGoKbQLLESEQshhBB1h10J0AcffGDXwewtJ8BoVpiLu/GUWQOUnwEUF/Krr/21jgSzc0mMnZbRX0NAX6E+70IIIUSdY1cTWOvWrW1uZ2dn8+GHH7Jz5050Oh0dO3bk7rvvLlFOlM1S+wPl1ABZmr98Q8CjeJLJCztCX0pRPuxZoV3vcFPFAhVCCCHqIIcnhPn777+56qqrMJvNREdHA/Ddd98xffp0Vq9eTceOHZ0dY51k6f8D5UyEeOEIMAtLE9jZA1CYC94BZZ9k3yooyoXgSGiaUMmIhRBCiLrD4TaR8ePH8+KLL3Lq1Cm2bNnCli1bOHXqFC+88ALjxo2rihjrJEsNkLenHp1OV3qhC0eAWdRrBPXCAQWn/i3/JBeO/irrHEIIIYQbcjgBysnJ4Z577kF/QX8SvV7PvffeS25urlODq8vOjwCzcxmMC1mbwcrpCF2YC3tXatdl9JcQQghhw+EEKC8vj/z8/FK35+XlOSUod3B+BJg9kyCG2m63pyP0nhVQlAf1Y6CJrM8mhBBCXMjhPkDXXnstvXv35uGHH6ZVq1YA7Nu3j3fffZfBgwc7PcC66vw6YHbUAF3YBAbaoqhQfkfoHYu1vx1uluYvIYQQ4iIOJ0BTp05Fr9fz0EMPYTAYUErh6+vL+PHjeeGFF6oixjrJWgNk7zIYF7J0hE75G/LPgV+I7f78DNi/Rrve8ZZKxyqEEELUNQ43gXl4ePDSSy+Rnp7OX3/9xV9//UV6ejpTp07Fw0OWWbCXociRGqCL+gA1jIVG7cCYD38uKHm/Xd+BuQgatYdGbZ0UsRBCCFF3OJwA1a9fnz59+uDr60uHDh3o2LEjvr6+VRFbnWYw2lEDVNooMNCatLo/qF3f9AGYjLb7rc1fMvePEEIIURqHE6DmzZvbLI4qKqbArhqgdO3vxQkQQMdbIaAhZB2HXUvPb88+BYc3aNc73OykaIUQQoi6xeEEKDY2FpPJVOq+5557rtIBuQtLDZB9C6GWkgB5+ULXu7Xr/3sHVPGSGf9+C8oMTbtAaIzzAhZCCCHqEIc7QQ8cOJDrr7+eYcOG0bRpU5t+P8uXL5eO0Hay1ACVuQxGUb42izOUXgME0GUsbHgdTvwBxzZDZDfb0V9CCCGEKJXDCdA999wDwI8//lhiX5kzGosSLlkDZKn90XuBT1DpZeo1hE5DYdsnsPEdCIyA45sBnUx+KIQQQpTD4SawpKQkzGZzqZcrrriiKmKsky5ZA3ThEPjyEktLZ+hd38FvM7Xr0b0hqLFzAhVCCCHqIIcToNmzZ5e5b9GiRZUKxp1cchRYWSPALhbeDlr20/r9bJ2jbZPmLyGEEKJcdjeBffnll3z99dd4e3szevRo+vXrV6JMeHi4wwEsWbKEqVOn4ufnh16v591336V9+/allk1OTi6x7cyZM2RlZXH06NEKHdNVLl0DZBkBFlr6/gt1fwgO/KRd13tCuxucEKEQQghRd9mVAH344Yc89NBDdOjQgaKiIj7//HNWrFjBVVddVamTb968mZEjR7J161ZiY2NZsGABAwYMYNeuXQQGBpZ6n/Xr19vcfuKJJ2z6HlXkmK5gdx+gixdCLU2rK6FhGzi9W6sNsidpEkIIIdyYXU1g77zzDj///DPbtm1j586dfPbZZ7zxxhuVPvn06dMZNGgQsbGxAAwfPhyj0cj8+fNLLT937lyb2yaTiYULFzJ69OgKH9NVLl0DZGcTGGh9hAa8BA3bQp8nnBShEEIIUXfZlQD5+/vTs2dP6+2hQ4eSkZFR6ZOvXbuWrl27ng9GrychIYE1a9aUWj4mxnZemx9//JGoqCjatWtX4WO6inUx1EvVANmTAIFWC/TQRm0ovBBCCCHKZVcC5OfnZ9e2a6+91u4Tnz17lszMTCIiImy2R0REcPDgQbuOMW/ePJvaH2ccs7pYF0O1ZxSYEEIIIZzKrj5AKSkpfPLJJyjLbMNAampqiW2HDh2y+8R5eXkA+Pj42Gz38fGx7itPRkYGa9assRmVVtFjGgwGDAaD9XZWVtalH0AlXbIGKFcSICGEEKKq2JUA7dmzh1GjRpXYfvE2RyZC9Pf3B7BJPCy3LfvK8/nnnzNo0CCCg4Mrfcxp06bx/PPP2x27M0gNkBBCCOE6djWBlTf5YUUnQgwLCyM4OJjU1FSb7ampqbRo0eKS9583bx5jxoxxyjGffvppMjMzrZdjx47Z/Tgqyul9gIQQQghhN7sSoFdeecWug9lbzqJfv35s3brVelspxZ9//kn//v3Lvd+uXbtIS0srdS6iihzTx8eHoKAgm0tVM5RXA2Q2OzYMXgghhBAOsSsBunBUlTPKWUyYMIEffviBvXv3ArBw4UI8PDysTWujR49mxIgRJe43b948Ro0aVWqT26WOWVNYa4C8SqkBMmSC0hIk/GROHyGEEMLZHF4M1ZkSExOZP38+w4YNs87avHLlSuuEhQUFBRQVFdncxzL3z4YNGyp0zJrC2gfIs5Qc1DILtHc98PKtxqiEEEII96BTFw7jEoA2Ciw4OJjMzMwqaw67fMpq0nMLWTX+ClqHX5ScHd0Ec66GkCh47O8qOb8QQghR1zjy++3wYqjCOcqvAZIO0EIIIURVkgTIRcrtAyQJkBBCCFGlJAFygSKTGZNZa3mUGiAhhBCi+kkC5AKW2h8oqwaoeCFUGQIvhBBCVAlJgFzA0v8HwNujnFFg/jIEXgghhKgKkgC5gKUGyNtTj15fyvIh0gQmhBBCVClJgFyg3BFgALnFTWD+0gQmhBBCVAVJgFzAUFTOCDCQGiAhhBCiikkC5AIFxkvUAFn7AEkCJIQQQlQFSYBcoNwaIGOhthYYyCgwIYQQoopIAuQC5dYA5RfX/uj04BtcjVEJIYQQ7kMSIBcotwYoJ03761cf9GX0ERJCCCFEpUgC5AKGsmqADNnw/ePa9dCW1RyVEEII4T4kAXKBUmuACvPgs9vg+Bat9ue6N1wUnRBCCFH3SQLkAiX6ABUVwKJhcOQ38AmC4d9ARAcXRiiEEELUbZIAuYBNDZCxEL66Cw6uA68AuHMxNL3ctQEKIYQQdZwkQC5gMxP0msmwdwV4+sKwLyCym2uDE0IIIdyAJEAuYFkLzNfLQ6v5Aa3PT0wfF0YlhBBCuA9JgFzAWgPkpYeC4kkPG7V1YURCCCGEe5EEyAUsNUA+nh6Qf07b6BvisniEEEIIdyMJkAtYaoD8PUxQlKttlFmfhRBCiGojCZALWGqAAsk7v1ESICGEEKLaSALkApYaoEBytA0+wbLshRBCCFGNJAFyAUsNUD2zNH8JIYQQriAJkAtYaoACzNnaBj9JgIQQQojqJAmQC1hqgPzMxU1gMgJMCCGEqFaSALmAdRSYqbgGSJrAhBBCiGolCZALFFrmATJamsBCXBeMEEII4YYkAXIB60zQlgRImsCEEEKIauXp6gDckaUPkHdRlrZBEiAhhIPMZjOFhYWuDkOIauXl5YWHh3OmjZEEyAUsNUBelgRImsCEEA4oLCzk0KFDmM1mV4ciRLULCQkhIiICnU5XqeNIAuQClhogz0KpARJCOEYpRUpKCh4eHjRv3hy9XnoyCPeglCIvL4+0tDQAGjduXKnjSQJUzYwmM0azAsCjsHgleBkFJoSwk9FoJC8vjyZNmuDv7+/qcISoVn5+fgCkpaXRqFGjSjWHyb8O1cxS+wOgNxQnQNIEJoSwk8mkNaF7e3u7OBIhXMOS+BcVFVXqOJIAVTNL/x8AXcE57Yo0gQkhHFTZ/g9C1FbOeu9LAlTNCixzAHmArsDSB0iawIQQQojqJAlQNTMU1wCFeRkArS+QNIEJIdxBfn4+kydPpkePHiQnJ9O9e3dGjRrF4cOH7T7GzJkzufHGGx06r8FgoHnz5mzZssXBiMu2Z88ekpOT0el0rF+/3mnHrYj9+/c7HMsXX3xBfHy8W9ckSifoalZQpNUANfDIBxPg6QeePq4NSgghqlhBQQFXXnklPXv25JdffsHLywuAzz//nB49erBmzRrat29/yeM0atSI6Ohoh87t4eFBbGwsgYGBFQm9VLGxsaxfv75GJBCtWrVyOJbbbruN8PBw+vbtW4WR1WySAFUzg7G4BsizOAGS5i8hhBuYNGkSBoOBGTNm2PxQ33HHHWzcuJFRo0axdevWSx5n2LBhDBs2zKFze3p6smbNGodjFnWbNIFVM0sNUKg+T9sgzV9CCGfIzS37UlBgf9n8fPvKOsBoNPL+++9z2223lVpLcccdd/DHH3+wZcsWm+ac2bNnc8stt9CxY0dCQkL47LPPSm22WbZsGbGxsXTr1o0bb7yRyZMn4+vrS3JyMjk5OVx99dWEhIQwefJkABYvXmw9zvLly7n++uu57LLLeOSRR2yO+9VXX9GzZ0/69u1LYmIijz/+OAaDwe7HfeFj+fDDDxk6dCht27bl1ltvJT8/n+eff54rrriCjh07sm3bNpv7btmyhSuuuIKuXbvSoUMHJk2aZDPxZWpqKoMGDaJ169YMGjSI77//vsT5s7OzGTt2LJ07dyYpKYkhQ4Zw9OhRu+Ov85QoITMzUwEqMzPT6cdet/uUinpquXpxxjSlJgUpNftqp59DCFF35efnq3///Vfl5+fb7oCyL4MG2Zb19y+7bFKSbdkGDUov54CdO3cqQC1durTU/efOnVOAeueddy54OKgBAwaogoICZTKZVM+ePZVSSq1bt05d+NN1+PBh5e3trRYvXqyUUur06dOqRYsWKioqyuYcSUlJatKkSdbbluNMnz5dKaXUqVOnlI+Pj/rpp5+sZW6++WZrzIWFhWrgwIHq+eeftzkuoNatW1fu4wfUkCFDlNFoVAUFBSomJkZdffXVat++fUoppSZMmKCSk5Ot5dPS0lRwcLD69NNPrc9PmzZt1NSpU61lrr76anX99dcrk8mklFLqySefLBHL0KFD1R133GEt8+KLL6p27dopo9FY6nNZW5T5GVCO/X5LDVA1s9QAheiKa4CkCUwIUcedO3cOgHr16pW637I9IyPDZvsdd9yBj48Per2e3377rdT7vv/++0RERHDzzTcD0KBBA4eayCxlGzVqRLt27di+fbt136uvvsp1110HaGtQDRkyhBUrVth97AvdfPPNeHh44OPjQ5cuXTCZTLRq1QqA3r1729QAvf322wQGBlpjCw4O5r777uPll1/GbDazZ88eVq1axWOPPWadCfy+++6zOd/Bgwf58ssvefzxx23K/Pvvvy7vtF1TSB+gambpAxSiK65CliYwIYQz5OSUve/i2XKLlxIo1cVLazgwQqssISEhAOSW0XSWUxx7/fr1bbY3a9bsksfevXs3LVq0sNkWGRlpd2wXLqcQGBhIVlaW9XZubi533nknR44cwdvbm9TUVIeawMo6j7+/Pz4+5we/BAQEkJmZab29c+dOWrVqZdPU16pVK7Kzszly5Ai7d+8GsHncFz/mnTt3AjBu3Dhrh3OAqKgoTp8+XaHHUNdIAlTNDMU1QEEUfxHIJIhCCGcICHB92TJYRmDt2rWLwYMHl9hv+UHv3r27zXZ7ljlQSlVqJNaF59DpdCilTU+Sk5NDv379uO2221i4cCF6vZ558+ZZ+xFV5jyl3b6QJYbSXBijPY/7008/JSYmxs4o3Ys0gVUzSw1QkE46QQsh3IOnpyf3338/X331Van7P//8c7p3787ll1/u8LHbtWvHgQMHbLY5o6Pv7t27SUtL49Zbb7U2IRUWFlb6uPbo2LEj+/fvt0mE9u/fT1BQEJGRkbRt2xbA5nFf/Jg7dOiATqdjz549Ntufe+45a8Lp7iQBqmaWPkD1VHF1tfQBEkK4gRdeeAEvLy+eeuopjEajdfuXX37J119/zYIFCyp03Pvuu4/U1FS+/vprAM6ePcuSJUsqHW+LFi3w8/OzDp83mUwsXbq00se1x8MPP0x2djafffYZAJmZmXzwwQdMmDABvV5PbGwsAwYMYNasWdaRYW+//XaJ+G+//XZeeeUVCopHAf7+++98/fXX1r5Hbs/JnbPrhKocBfbW2r0q6qnlaveMq7RRYH9+6vRzCCHqrvJGwNR0eXl5avLkyapHjx4qKSlJde/eXY0dO1YdP37cWiYlJUUlJSUpQMXFxalnnnnGum/hwoUqLi5OASopKck6imrp0qWqdevWqlu3buq2225TL730kmrVqpX1fldddZUKDg5WUVFR6plnnlErVqywOc7Zs2fVXXfdZS3zyiuvKKWUWrJkiWrdurVKTExUQ4YMUaNHj1Y+Pj6qX79+avfu3TZxfvXVVyUe78WPZe3aterJJ59U4eHhKjw8XD355JNq7dq1NrGkpKQopZTatGmT6t27t+rSpYtq166dmjhxonU0l+XYAwcOVJdddpnq37+/WrhwYYlYsrOz1b333qtiY2NVcnKyuu6666zP2aJFi0p9LmsDZ40C0ylVTmOjm8rKyiI4OJjMzEyCgoKceuxXV+7h7XX72RD6Is3z/oXbP4M21zr1HEKIuqugoIBDhw4RExODr6+vq8NxOaUU6enphIWFWbe99NJLrFu3jtWrV7swMlFVyvsMOPL7LU1g1czSB8jfbOkELU1gQghRUbm5ufTp04f84gkcz507x8KFCxk+fLiLIxM1nYwCq2aWPkC+pmxtg4wCE0KICvPx8aFHjx707t2bwMBA8vLyuPvuuxk5cqSrQxM1nCRA1UyrAVL4GovnmpBRYEIIUWFeXl58/PHHrg5D1ELSBFbNCorM+FKIhyoeBSFNYEIIIUS1kwSomhmMJoItkyDqPMC79KnhhRBCCFF1JAGqZgVFZoIvXAajEjOYCiGEEKJiJAGqZgaj6YJlMKT5SwghhHAFl3eCXrJkCVOnTsXPzw+9Xs+7775L+/btyyx/5swZJkyYwP79+8nJyaGgoICJEydy2223ATB58mS+/fZb6+J7oK2kW10zeF5KQZGZMJ2sAyaEEEK4kktrgDZv3szIkSNZuHAhGzZsYOzYsQwYMIDs7OxSyxcWFtK/f3+uuOIK1q9fz9atW7nmmmvYsmWLTbmZM2eyfv1666WmJD8ABqP5fB8gGQEmhHAD0dHRJCcnk5ycTPfu3dHpdMTHx1u3hYSEcNgJq87XJL/++qv1sVblY/vss8+Ij4+ne/fudOnShTNnzlT6mN9++y3ffvtt5YOr4VyaAE2fPp1BgwYRGxsLwPDhwzEajcyfP7/U8rNnz8bX19dmfoennnqKsWPHVku8zmAoMp1fCFWawIQQbsLyD+miRYsA239U4+PjXRtcFejdu7f1sVYVg8HAmDFjmDlzJhs3buSBBx5wynElAaoGa9eupWvXrtbber2ehIQE6+JzF/v6669JSkqy2dagQQPryri1gU0NkDSBCSHcwGOPPVbu/rvuusum24KwT2pqKgaDgejoaADGjh1LgwYNXBtULeKyBOjs2bNkZmYSERFhsz0iIoKDBw+Wep8dO3bg5+fHAw88QK9evejbty/vv/8+Fy9nNmfOHJKTk+nVqxejRo3iwIED5cZiMBjIysqyuVSVgiKT7SgwIYSo4+xJgM6cOUNycjI6nY7Zs2dzyy230LFjR2ti9NVXX9GzZ0/69u1LYmIijz/+OAaDAYCcnBySk5Px9fXllVdeYcSIEXTt2pUePXpw6NAh63kOHjzIwIEDueKKK+jduzdDhw5lz5491v2bN2+mT58+dOvWjcTERG6//XZ27dpl3f/jjz+SmJhIt27d6NSpU4kV2Pfs2UOvXr3o2LEj1113HZs3by7xWFNSUrjlllvo0qULvXv3ZtSoUaSnpwOwePFi4uPj0el0fP/99wwePJgmTZowZMiQEsf59ddfrX1fb7/9dpKTk0lNTQVg3rx5dO7cmT59+tCzZ0+WLFlivV9GRgajR48mMTGRpKQk+vTpw2+//Wbd/3//93/8+OOP/PjjjyQnJ3PDDTewffv2Es15Tz/9NBEREdx1110lXoMZM2YwYsQIEhMT0el0nDt3DtBafeLj40lKSiIpKYkNGzbY/dpUCWev0mqvo0ePKkB9+eWXNtsfeOAB1bJly1Lv4+npqby9vdUPP/yglFJq7969Kjw8XL388svWMh9//LF6/fXXVVFRkTKZTGrSpEkqODjYZrXhi02aNEkBJS5VsRp8++d+VIufvVZbCX7D604/vhCibrt4JWyz2axyDUUuuZjNZofjP3TokALUunXrSt0PqAEDBqiCggJlMplUz549lVJK3XzzzWrp0qVKKaUKCwvVwIED1fPPP29z36ioKNW1a1eVnZ2tlFLqxhtvVCNHjrTuv+aaa9TEiROtz9vw4cPV3LlzlVJKpaWlqeDgYLVw4UKllFJFRUVq4MCB6o033lBKKfXPP/8oLy8vtWHDBqWUUseOHVMNGza0ljeZTKpt27bq4YcfVkopZTQa1e23364AdejQIWsM3bt3V0899ZQ1hnvuuUcNGDDAun/dunUKUJMmTVJKKbV//341bNiwcp/LC4//ww8/qLCwMHXs2DGllPY76e/vr37//XellFI7duxQiYmJqrCwUCml1C+//KLCwsJURkaG9RijRo1So0aNuuS5SisXFRWl4uPjrce7+uqr1blz59S7776rYmNjrds3bNigfH191eHDh5VS5b82F3PWavAuGwXm7+8PYM3gLQwGg3XfxfR6PYmJiVxzzTUAXHbZZYwZM4Y33niDp556CoAxY8bY3GfixIm8//77vPvuu0ydOrXU4z799NM8/vjj1ttZWVk0b968Yg/sEgqKTAR5WPoAhVTJOYQQ7iO/yES751a65Nz/vjAAf2/n/4zccccd+Pj4AFhrJ1599VUiIyMBbfmLIUOGMG/ePJ577jmb+15//fXUq6dNMJucnGyzTMaJEydo3LgxZrMZvV7P1KlT0eu1hpC3336boKAg7rjjDgA8PT155plnyM3VauynT59OYmIivXv3BqBZs2YMGzaMqVOnMmzYMFavXs2uXbv4/vvvAfDw8ODuu++26Qf0008/sXHjRr777jsAdDod9957L127duXAgQO0bNnSWnb06NEAtGzZkoULF9r93E2bNo3bb7+dZs2aAdrvZN++fXn33Xfp0aMHrVq1YsmSJXh5eQHQp08fvLy82LRpEwMGDLD7POUZMmSIteZu5cqV1rgeffRR6/bevXvTsmVLZs+ezZQpU8p9baqKyxKgsLAwgoODrVV2FqmpqbRo0aLU+zRv3tz6olpERUVx6tQp8vPz8fPzK3EfDw8PoqOjy20G8/HxsX7YqpLRZMZoVgR5ShOYEEKU5eLvedBWfb/zzjs5cuQI3t7e1v4vF2vcuLH1emBgoE2Xhueff54RI0awevVqbr/9du69915atWoFwM6dO2nZsiW6CyantSQ7lv2dOnWyOVerVq145513KCoqYvfu3Xh4eBAVFWXdb0nYLjyGXq/nlltusW4zGo1ERUWRkpJikwCV9hzYY+fOnZw4cYLk5GTrtjNnzuDr6wuAt7c3ixYtsnZy1uv1ZGRklPgtroyLY8/OzubYsWPMnTuX5cuXW7cbjUbrqO/yXpuq4tJ5gPr168fWrVutt5VS/PnnnzzzzDOllu/Tp49Ney7AqVOnaNCggTX5GTduHLNmzbIpc/LkSfr06ePk6B1nMGorwQfLRIhCCCfx8/Lg3xec8597Rc5dFTw8bI+bk5NDv379uO2221i4cCF6vZ558+YxefLkcu+r0+ls+ogOGTKE48ePs2jRImbPns3MmTNZvHgx119/fYm+pBer7P4LrV27tsRjvNil9pdFp9MxfPhwnn/++VL3v/baa0ydOpWtW7daE4zo6OhLxn9hYmhhMplKjfPibZZjP/HEE9aarYuV99pUFZeOApswYQI//PADe/fuBWDhwoV4eHgwatQoQKsCHDFihLX8+PHj2bx5s3Xen/T0dBYsWMCjjz5qLbNs2TKWLVtmvT179mzS0tJKNI25giUBCpKJEIUQTqLT6fD39nTJpbQfxaqwe/du0tLSuPXWW63NIoWFhQ4fZ/HixQQHB3PfffexZcsWhgwZwkcffQRAx44dS7QUbN26lR9++MG6f9++fTb79+/fT2xsLF5eXrRr1w6TycSRI0es+48ePWpTvmPHjpjN5hLHeeCBBzh79qzDj6c0HTp0KNF5eN26dbz33nsA/PzzzyQkJNjUrlz8XF7Y9JSXl4fJZCIwMBDQklGLEydO2BVTUFAQkZGRJeL64osv+Prrr4HyX5uq4tIEKDExkfnz5zNs2DD69OnDRx99xMqVK61PdEFBAfn5+dbynTp1YsmSJTz00EP06tWLa665hnvvvZf//ve/1jJTp05l5syZ9O3bl549e/Lpp5+yevXqGjFUvqDIBCATIQohhANatGiBn5+fdYoUk8lUoQlun3rqKf7991/rbZPJZJ2H7uGHHyYrK8vaZ6ewsJD//Oc/1r4yTz31FJs3b+bXX38F4Pjx43z22WfWFov+/fvTtm1bXn/9deuxLUmHheV36cUXX8Rs1v4h/uqrr9i9ezdhYWEOP57SPPPMMyxbtoy//voL0JoO//vf/9KmTRsA2rdvz99//83p06cB+P3330lJSbE5RsOGDcnIyADglltuYffu3YSGhhIZGWntk7V79262b9/uUFzz58+3JoWnT5/m+eefp0OHDkD5r02VuWQ3aTfkSC9yRxw8naNaPvWtNgJsUpBSuWedenwhRN1X3giYmm7FihWqW7duClBxcXHqrbfesu5LSUlRSUlJ1n3PPPOMzX2XLFmiWrdurRITE9WQIUPU6NGjlY+Pj+rXr59SSqmkpCTl4+OjYmNj1cKFC9WiRYtUbGysTZmZM2eqrl27qqSkJNWtWzc1evRo64gxpZTatGmT6t27t0pMTFTdu3dX7733nk0MP/zwg+rSpYtKTExUHTp0UG+++abN/t27d6uePXuq9u3bq6uuukp99NFHClDdunWzjh5LTU1Vt912m2rbtq1KTk5Wt912mzp16pT1+YmLi1OASkpKUl999VWZz+WGDRusz2W3bt3UhAkTrPs++eQT1bFjR9WjRw/Vq1cv9emnn1r3ZWZmqttvv11FRUWp6667Tj322GMqIiJCxcbGqgULFiillNq1a5fq0KGD6t27txo+fLjN44+NjVVXXHGFeuKJJ9Tw4cNVeHi4Gjt2bInXwLLtQq+99ppq27at6t27t0pKSlIrV6607rvUa3MhZ40C0ynlQMOlm8jKyiI4OJjMzEyCgoKcdtxdKVncOet7/vS9X9vwXDroq6YNXQhRNxUUFHDo0CFiYmKsHVuFcCflfQYc+f2W1eCrkcFoPj8Jok+QJD9CCCGEi0gCVI0KikwyAkwIIYSoASQBqkYGo1lGgAkhhBA1gCRA1cimBkhGgAkhhBAuIwlQNbLpAyRNYEIIIYTLSAJUjZqG+NKjSXHHZ2kCE0IIIVzGpUthuJuEqFC4zB9OI01gQgghhAtJDVB1Kzin/ZUmMCGEEMJlJAGqbvnntL/SBCaEEEK4jCRA1a0gU/srTWBCCDeyevVqkpOT0el03HPPPTb7MjMzSU5OJiQkhO7du/PJJ5+4KErhTiQBqm7SBCaEcENXXXUV69evB2D27NksX77cui84OJj169cTHx/PokWLGDFihIuiFO5EEqDqJk1gQgg3FhUVxcCBA7nnnns4c+aMq8MRbkwSoOomTWBCCDc3d+5cjEYjDzzwQLnlpk+fTnx8PElJSSQlJbFhwwYAtm/fTvfu3dHpdBw+fBiAp59+moiICO666y4AcnJySE5OxtfXlxkzZjBixAgSExPR6XScO3cOgNdee42OHTvSrVs3unfvzrp166znvu666wgJCeH//u//eOCBB+jVqxedOnXizz//tJY5e/Yst956K7169SIpKYlrr72WTZs2Oe+JElVKhsFXJ7P5fAIkTWBCCGdQCoryXHNuL3/Q6Ry+W0REBB999BE33ngjn376KcOHDy9R5r333mPu3Lls3LiRkJAQfv31V6666ip2795tbSqLiYmxlp82bRopKSnW2/Xq1WP9+vVER0fz2WefsW7dOkJCQhgwYAA6nY4PP/yQmTNnsnXrVsLDw1m1ahXXXHMNu3btIiYmhuXLl5OcnMxXX33Fxo0bCQ8P5/HHH2f8+PH8/PPPAEycOBE/Pz9+++03AJ599llWrFhBt27dHH5ORPWTBKg6GbIApV2XJjAhhDMU5cFLTVxz7v+eBO+ACt11yJAhjB07lkceeYTk5GSaNWtms3/atGk8+uijhISEANC7d29atmzJ7NmzmTJlisPnshxn5cqVAEydOpVRo0YRHh4OwNVXX02bNm149dVXeeedd6z3vfLKK61lkpOT+fjjj637Tpw4gcFgwGAw4OPjw7hx48jIyHAoNuE60gRWnSy1P56+4OXr2liEEMLFZs2aRYMGDRgzZgxKKev27Oxsjh07xty5c0lOTrZejEYj2dnZDp/n4uQqOzubo0ePctlll9lsb9WqFTt37rTZ1rhxY+v1wMBAsrKyrLcnTJjAtm3baN68OQ899BDHjx+ndevWDscnXENqgKqTjAATQjibl79WE+Oqc1dCQEAAn376Kb1797apdbEkQ0888QSjR48u9b66UpreTCYTHh4eJbZfvO3CZOtSx73wvhfv69GjB4cPH+abb75hzpw5JCQk8Pbbb/Pggw+WeXxRc0gNUHWSEWBCCGfT6bRmKFdcKtD/52LdunXj2Wef5amnnuLo0aMABAUFERkZyZ49e2zKfvHFF3z99deAVhsDWmdnixMnTth1Tsvx9+3bZ7N9//79dOjQwe7YlyxZgre3N3feeSdr167lP//5D++9957d9xeuJQlQdbLUAMkIMCGEsHr22Wfp1KkThw4dsm575plnmD9/vjUpOn36NM8//7w1QQkNDSUyMtLaAXn37t1s377d7nNajn/q1CkAVq1axe7du/nPf/5j9zFmzZrFmjVrrLdNJhOxsbF231+4ljSBVSdTEXgFSBOYEMLtrF69mqlTp5KamkpycjLvvvsu7dq1A7Rmpk8//ZT4+Hhr+XvvvZecnBwGDhxIWFgYHh4ezJw50ybBeP/99xk/fjyfffYZiYmJXHvttfz444/cfffdzJ49m+TkZFJTU3n55Zf59ddfmT17ts3xs7Ky6N+/P35+fuh0On744QfryLLbb7+d7du3c/jwYYKCgkhISOCxxx4DsI4Ou+eee3j++eeZNm0aRUVFRERE8Pbbb1f9kymcQqfKawx1U1lZWQQHB5OZmUlQUJDzT2A2g14q34QQjisoKODQoUPExMTg6yuDKYT7Ke8z4Mjvt/wKu4IkP0IIIYRLyS+xEEIIIdyOJEBCCCGEcDuSAAkhhBDC7UgCJIQQQgi3IwmQEELUQjKAV7grZ733JQESQohaxLI0Q2FhoYsjEcI18vLyAPDy8qrUcWQiRCGEqEU8PT3x9/fn9OnTeHl5oZdpNYSbUEqRl5dHWloaISEhpa775ghJgIQQohbR6XQ0btyYQ4cOceTIEVeHI0S1CwkJISIiotLHkQRICCFqGW9vby677DJpBhNux8vLq9I1PxaSAAkhRC2k1+tlKQwhKkEaj4UQQgjhdiQBEkIIIYTbkQRICCGEEG5H+gCVwjLJUlZWlosjEUIIIYS9LL/b9kyWKAlQKbKzswFo3ry5iyMRQgghhKOys7MJDg4ut4xOyXzqJZjNZk6ePElgYCA6nc6px87KyqJ58+YcO3aMoKAgpx5b2JLnuvrIc1195LmuPvJcVx9nPddKKbKzs2nSpMklJwmVGqBS6PV6mjVrVqXnCAoKkg9UNZHnuvrIc1195LmuPvJcVx9nPNeXqvmxkE7QQgghhHA7kgAJIYQQwu1IAlTN/r+9ew2K6jzjAP5fwwpyCTjKoHgBKhYMyE0RFHAXqAqRdKJLhUFNTKwaW9Ngp0m0wWJiLKYZIqkGapuUVYwljcaZ0sGhaiBtjSIFL8EKygjEEASUoIDI9d8PjqceIQazCyTy/D5xzvue8z7nYWfPw3suWFpaIjk5GZaWlkMdykNPcj14JNeDR3I9eCTXg2coci03QQshhBBi2JEZICGEEEIMO1IACSGEEGLYkQJICCGEEMOOFECD6ODBg5g5cybCwsKg0+lw7ty5oQ7pofDXv/4V8+fPR2RkJAIDA2EwGHDp0iVVn127diEgIAAhISFYuHAhampqhijah8OOHTug0WhQUFCgWi95Nq/q6mrExcUhIiICPj4+mDFjBvLz85V2ybd5tLe3Y/369fDz84NOp0NQUBAOHjyo6iO5/vY6OjqwceNGWFhYoKqqqlf7N+WWJF577TUEBARg1qxZWLZsGa5fv256YBSDorCwkLa2tiwrKyNJ7t69mxMmTOCNGzeGOLLvP61Wy7y8PJJkd3c3n376aU6dOpVtbW0kyQMHDtDJyYl1dXUkyVdffZV+fn7s7u4espi/z2pqajh58mQCYH5+vrJe8mxeDQ0NdHNz45EjR0iSPT09XLJkCXfs2EFS8m1OSUlJdHNzU76PS0pKOHLkSJ4+fZqk5NoUlZWVDA4O5lNPPUUArKysVLX3J7epqan08vJia2srSfKZZ57hj3/8Y5NjkwJokCxevJhLlixRlru7u+nk5KR8mYlvLzY2VrVcVFREADx27BhJMiAggC+99JLS3tTURAsLC+bk5AxqnA+LxYsXMyMjo1cBJHk2rxdffJFxcXGqddXV1coJRPJtPjExMarvZ5J0dHTkW2+9RVJybYrPPvuMFy9eZH5+fp8F0Dfltquri46OjkxPT1f6nDt3jgD42WefmRSbXAIbJEePHkVgYKCyPGLECMyYMQNHjhwZwqgeDh9++KFq2crKCsDtadevvvoKJSUlqtzb29vjhz/8oeT+W8jJyYFWq0VUVJRqveTZ/A4cOACdTqdaN3nyZLi6ukq+zcxgMOBf//oXvvjiCwBAXl4eGhoa4OTkJLk2kbe3N9zd3fts609uz549i4aGBlWfadOmwcbGxuT8y/8CGwTXrl3D9evXMW7cONX6cePGoaioaIiiengdP34czs7OCAkJwdmzZwGgz9zfe5+QuL/W1la88soryMvLQ3t7u6rtTi4lz+bR2tqKS5cuoaenB0uXLkVVVRWsra2xZs0axMbGSr7NbMWKFWhpaYG3tzfGjx+P8vJyGAwG/OQnP5HvkAHUn89xX300Gg2cnJxMzr8UQIPg5s2bANDrDZeWlpZKmzCP9vZ2vPnmm/j9738PrVYruTejTZs24bnnnsP48eN73cgoeTavpqYmAEBSUhKOHj2KgIAAnDx5EjqdDt3d3XB2dgYg+TaXXbt24Xe/+x2Ki4sxZcoUnDlzBvn5+bCwsJDP9gDqT24HMv9yCWwQWFtbA0Cvv5rb29uVNmEed/5CNhgMACT35nLq1CkUFhbiueee67Nd8mxeI0bc/mqOiYlBQEAAAGDWrFlYtGgRtm/fLvk2I5LYsGED1qxZgylTpgAAfH19kZOTg5SUFMn1AOpPbgcy/1IADYIxY8bA3t4eV65cUa2/cuUKfvCDHwxRVA+fDRs2wMLCAlu3blXW3cmv5N40f//739HW1oaIiAjo9XrEx8cDABITE6HX69HT0wNA8mwujo6OsLS0xMSJE1XrXVxcUFlZKZ9rM2poaEBTUxNcXV1V693c3LB//37J9QDqT2776kMSdXV1JudfCqBBEhERgf/85z/KMkmUlJTgRz/60RBG9fB44403UFVVhT/+8Y/QaDQoLi5GcXExRo8eDX9/f1Xub9y4gQsXLkjuH8CmTZtQUlKCgoICFBQUIDs7GwCQlpaGgoICBAYGSp7NyMLCArNnz0Ztba1qfV1dHSZPniyfazMaO3YsLC0te+W6trYWo0aNklwPoP7k1sfHB46Ojqo+ZWVlaG1tNT3/Jj1DJvqtsLCQdnZ2LC8vJ0lmZWXJe4DMJCMjg15eXvz0009ZVFTEoqIiJicnMzMzk+Tt90yMGzeO9fX1JMktW7bIOzxMVFlZ2ed7gCTP5nPo0CHa29vz0qVLJMmqqio6ODhwz549JCXf5rR69Wp6eHiwsbGRJFlcXEytVsu0tDSSkmtz+LrH4PuT29TUVHp7eyvvAVq5ciWfeOIJk2OSm6AHyaxZs7B7924kJCRg1KhRGDFiBPLy8mBnZzfUoX2vNTc34+c//zl6enowZ84cVVtmZiYAYPHixaivr8eCBQtgZWWF0aNHIycnR7nPQjyYxMREnDhxQvnZ09MT2dnZkmczi4qKws6dO2EwGGBtbY2uri6kpqZi+fLlAORzbU7bt2/H5s2bERkZCWtrazQ3N2Pbtm34xS9+AUBybYqOjg7Mnz9fubE/Pj4ekyZNUl5f0p/crl+/Hi0tLQgJCYFWq8XUqVOxZ88ek2PTkKTJexFCCCGE+B6R8lUIIYQQw44UQEIIIYQYdqQAEkIIIcSwIwWQEEIIIYYdKYCEEEIIMexIASSEEEKIYUcKICGEEEIMO1IACSGEEGLYkQJIiEFw+PBh6PV6aDQarFq1StV2/fp16PV6ODg4IDg4GFlZWQMWR3l5uRJHQUHBgI3zbbz11lvw8/NDYGAgQkJC+uxTVVUFvV6P0NBQeHl54S9/+YvJ41ZVVWHz5s0m72cgGAwGpKenD3UYQjyU5E3QQgwijUYDAMjJyUFMTIyqTa/Xw2g09vqv1AMVR35+PvR6/YCP1R9VVVVwc3NDZWUlXF1d8cYbb+Dll1/u1e+ZZ54BSRiNRpSXl+P8+fN48sknTRq7oKAA4eHh+K59FXZ2dmLs2LE4ffo03NzchjocIR46MgMkxCBycXFBVFQUVq1ahatXrw51ON8Z1dXVAKAUf30VP8DtQulOHw8PD5OLn++yY8eOwdnZWYofIQaIFEBCDLLMzEx0dXVh7dq1X9vHaDTC09NTNRsUHR0NKysrGI1GAMC///1vBAcHQ6PRIDs7G4sWLYK7uzvWrVuHW7duITExEcHBwQgODkZVVVWvMSoqKrBo0SIEBATA398fxcXFvWLw9/dHWFgY5syZg4MHDyptMTExcHBwwEsvvYS1a9ciLCwMGo0Gp0+f7vN4Ll68iOjoaMyYMQPTp09XYgSA/fv344UXXgBwexbs62alYmJicOrUKRiNRmW2DLh9WW/BggUIDg5GSEgIEhMT0dbWpmyXnp6OoKAghIeHIzAwEFu3blVmez7++GMkJiaqxj5+/Dji4+Ph4OCgXBr75JNP4Ofnp8zgAUBSUhJcXV2h1+vx5ptvYsGCBbCxsUFaWhoA4MSJE0ruZs+ejS1btqC7uxsAQBIbN25EYGAgwsPDERYWhr1796qONzc3F9HR0X3mOyQkBD4+PigpKVFtc78xzXFMRUVFmDt3LgIDA+Ht7Y3k5GT09PQAAHbu3Kl8Zo1GI6Kjo+Hu7o5t27apYkxLS8PMmTMRHh6OOXPmKPsWYtCZ/P/khRD95uLiQpI8ePAgATArK0tp0+l0rKysVJYzMzOV/ndvn5mZqSxXVlYSAJ9//nmSZGNjI21sbBgXF8f6+nqSZHx8PFesWKHaDwDqdDrevHmTJLl582ZOmDCBt27dIknm5uZyzJgxvHz5MknywoULtLa25qeffqqKd9KkSfz8889Jkj/96U959uzZXsd869Yturm58fXXXydJtre3U6fTcdWqVUqf/Px89ufrSKfTMTk5WVlua2uji4sLMzIySJIdHR2Mjo7mmjVrlD6BgYE8ffo0SbKlpYU+Pj7cvXv3N45971h99UtOTqatrS1zcnJIkkajkenp6ayrq+Ojjz7K3NxckmRzczP9/PyYkpJCkvzggw84ZcoUdnR0kCQPHz5MnU6n2reXlxcPHz6sisfV1ZVXrlwhSa5fv55z585V2r9pTFOPqb6+nvb29ty7dy9JsqmpiZ6enty6dauybWZmJkeNGkWj0UiSPHPmDDUaDSsqKkiShYWFtLW1ZVNTE0ny/PnznDJlSq/cCzEYZAZIiCHw5JNPYuXKlXj++efxxRdfmLy/JUuWAABGjx6Nxx57DLa2tnB0dAQAhIaG4tSpU722Wb58OUaNGgUAeOGFF/Dll1/iwIEDAICUlBTEx8dj4sSJAICpU6ciPDy81w25kZGRmDRpEgDgT3/6E6ZPn95rnH379uHLL79UZlpGjhyJxMREvPfee6irqzPpuPft24fGxkasXr0aAKDVavHss8/ivffeQ3t7OwAgOzsbvr6+AAAbGxs8/vjjOHTokEnj3m3s2LHK/VxPP/001q5di507d2LSpEnKDI6trS2WLl2Kd955BwBQU1OD1tZWXLt2DQAQERGBlJQUZZ+XL19GdXU15s6dqxorMjISTk5OAG7PWN094/ZNY5rjmOzs7JCQkAAAsLe3x5o1a7Bt2zZlFggAenp6sHTpUgCAj48PHBwccPbsWeW4Ozs7ceXKFQCAp6cndu/e/cDxCWEOFkMdgBDD1dtvv41PPvkEzz77LPLy8kza1/jx45Wfra2tVcs2Nja4fv16r21cXFyUnx0cHDBmzBicP38eAFBaWoqamhrV5airV6/CyspKtY87BdL9lJaWYvz48bCxsVHWubu7o6enB//973+VE/q3UVpaiu7ubkRERCjrbt26hQkTJqC2thaurq6ora3F+vXrcfXqVWi1WuWGa3PpKwelpaWora1V5a+lpQVarRadnZ1YtmwZsrKy4ObmhieeeAJPPfUUFi5cqPTNzc1FREQERo4cqdrv3b9XOzs73Lhxo99jarVak4/J3d1ddcnM3d0dzc3NqK6uVnLq6OgIC4v/n1rujjM6OhphYWHw9vbG/PnzsWzZMsTGxvY7LiHMSQogIYaIjY0N9u7di9DQ0D7/Sr/7RHPHnfs57vXII4/cd5l9POF07zqSypgajQbLli3Dq6++et9juHecvvQ19h19HeODGjt27Nc+0l9dXY158+bhtddew69+9SsAwObNm/v1CoB7Y+tv7u/w9vb+2nEcHR1RXFyMjz/+GEajEQaDAYsWLUJ2djYA4NChQ3j88cfvO1ZfubvfmH1t8yDH1N/f473bajQaZVsrKyscPnwYhYWFMBqNWL16Nd555x0UFBSoiiYhBoNcAhNiCAUFBSEpKQkvv/wyPv/8c1WbnZ0dWlpalOXOzk7U19ebbey7x2tqakJjYyM8PT0B3D6RlpeXq/rn5+cjIyPjgceZPn06amtr0draqqyrqKjAI488gmnTpn3L6NX7vnsmpLOzEytWrEBXVxeKiorQ1taGuLg4pb2jo0O1jxEj/v812NXVpdxAfW/+a2pqHiiuixcvqi4N1dfXY926dQCAkydP4vLly4iMjERWVhY++ugjfPDBB7h27Ro6Ojpw9OhR5VKWucY0xzFVVFSoCqGKigo8+uijmDx5cr/2UVZWhtLSUgQFBSEjIwMnTpzAsWPHcObMmX7HIYS5SAEkxBBLSkqCj48PKisrVet9fX3R2NioFCLvv/++6mRtqj//+c/Kyf7tt9+Gs7MzDAYDAOCVV17B3/72N+XE1Nrail//+tdKgfQgEhIS4OzsrDzt09HRgbS0NKxcudKky1939j1x4kTVk0ZpaWnQaDSwsLDAtGnToNFocOTIEQBAW1tbr/t/7twr9dVXX+Gjjz7Cb37zGwCAn58fjh8/DpLo6urC/v37+x3XunXrcPPmTbz77rsAbs+ebNmyRRkrNzdXVUx2d3fD0dERo0ePxj//+U+4uLj0u6jo75jmOKbm5mbs27cPwO0XeO7atQsbNmzo9+fyxIkT+O1vf6sUUd3d3bC0tFRdjhVi0AzNvddCDC//+Mc/qNPpaGlpSZ1Ox3PnzqnaKyoqaGtrq3oKjCRff/11uru7c/78+Xz33Xfp4uJCDw8P7tixg6dOnWJQUBABMCgoiOfOnePy5ctpb29PFxcXpqam8v3336eHh4cybllZGXU6HQFw+/btjI6Opr+/P/38/FhUVKQaOysri9OnT+fs2bMZEhKiPP1DknFxcco4Cxcu/Mbjv3DhAhcsWMCAgAB6eXnxZz/7mfIE2ocffkhfX1/lybS0tLQ+97Fw4UJlTJ1OpzxJdOHCBUZFRdHb25tz587l6tWr2dLSomz3hz/8ga6urgwLC2NsbCwNBgPt7e2ZkJCg9ElISKCfnx9nz57NsrIykmRDQwPnzZtHX19fLl68mLt27VJivHjxIlNSUuji4kJ7e3tl3d1OnjzJ0NBQ+vv7MzQ0lBs3bmRXVxfJ209DRUdHc86cOdTpdAwLC1OesPvlL3/JF198UbWvu/OdmprKgoICVc7uPPF3vzHNcUyFhYUMDQ3lzJkz+dhjj3HTpk3s7u4mefsJsDuftXnz5pEko6KiaGlpSQ8PD+7Zs4fl5eWMjY1lUFAQ9Xo9g4ODlafNhBhs8iZoIYT4Dpk2bRrS09MRHh4+1KEI8VCTS2BCCPEd0dHRgfj4eISGhg51KEI89GQGSAghhBDDjswACSGEEGLYkQJICCGEEMOOFEBCCCGEGHakABJCCCHEsCMFkBBCCCGGHSmAhBBCCDHsSAEkhBBCiGFHCiAhhBBCDDtSAAkhhBBi2PkfEf6hLbAGXmEAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.title('Probability difference based on number of features used')\\n\",\n    \"plt.axhline([0.8829426078163848], label='Original model', color='red', linestyle='dashed')\\n\",\n    \"plt.plot(tc_eval, label='Transcoder features')\\n\",\n    \"plt.plot(mlp_eval, label='Neurons')\\n\",\n    \"plt.xlabel('Number of features/neurons')\\n\",\n    \"plt.ylabel('Probability difference')\\n\",\n    \"plt.legend()\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"id\": \"ce30700b-41da-4f34-be6b-afda3dc74b55\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"24\"\n      ]\n     },\n     \"execution_count\": 156,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.argmin(np.abs(np.array(tc_eval)-np.array(mlp_eval))[1:])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7f910d15-b89c-4e1d-b0c6-8364872670ac\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Looking at inaccuracy\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3d8eb970-5af2-4e58-973e-e4ce094ea510\",\n   \"metadata\": {},\n   \"source\": [\n    \"What's with the dip in transcoder features around feature number 20?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"id\": \"3771c91c-5136-4d01-94a5-6e508394dfe6\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:05<00:00, 18.37it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"tc_eval = eval_tc_features(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"id\": \"706afafb-a519-424d-9f14-996012f8f4a0\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[<matplotlib.lines.Line2D at 0x1484a7da5400>]\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.plot(tc_eval[20:25], marker='.')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"id\": \"9243163e-86c0-4a0f-9024-ab4cc27ccb4c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"22\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.argmin(np.diff(tc_eval))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"id\": \"b77318f1-6b79-4d9c-9b0f-ad8670911db5\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[0.8435162901878357,\\n\",\n       \" 0.8432683944702148,\\n\",\n       \" 0.8314465880393982,\\n\",\n       \" 0.7851703763008118,\\n\",\n       \" 0.786202073097229]\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"tc_eval[20:25]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"79a8e137-98e9-4b52-97a8-10f35cdd2a24\",\n   \"metadata\": {},\n   \"source\": [\n    \"So the drop happens when we use 23 transcoder features. This means that the feature with zero-index 22 is the one causing this drop.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"id\": \"d7077e90-cf05-47bd-bb27-a15d6fcc23ea\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"tensor(5315, device='cuda:0')\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"torch.topk(torch.var(activs_tensor, dim=0), k=23).indices[22]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"2b7bcab4-213c-4260-b6e6-d0556a6a8f7f\",\n   \"metadata\": {},\n   \"source\": [\n    \"Feature 5315 is the culprit. What does its logit lens show?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"id\": \"a286d1f4-7e1f-4cb6-9f70-e63f54c8ce85\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plot_feature_info(5315, feature_k=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6915d40e-d0f0-40e5-ba6b-a514e7b96fa2\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, let's evaluate what happens if we ignore the bad transcoder feature in our analyis.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"id\": \"d647004b-8266-48e3-bf0b-87cef1028c39\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:05<00:00, 18.33it/s]\\n\",\n      \"100%|██████████| 100/100 [00:05<00:00, 19.29it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"tc_eval = eval_tc_features(100)\\n\",\n    \"mlp_eval = eval_mlp_features(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"id\": \"6c2e34de-4713-43d6-91c3-d882ea4b15ee\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:05<00:00, 18.22it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"tc_eval_new = eval_tc_features(100, exclude_feature=5315)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"id\": \"77cc635e-daf5-4721-b99a-fb37db02d035\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.7978020669246206\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Evaluate performance of transcoder with all features\\n\",\n    \"prob_diffs = []\\n\",\n    \"with torch.no_grad():\\n\",\n    \"    with TranscoderReplacementContext(model, [tc10]):\\n\",\n    \"        for i in range(1,99):\\n\",\n    \"            prompt = prompts[i]\\n\",\n    \"            logits = model(prompt, return_type='logits')\\n\",\n    \"            probs = torch.nn.functional.softmax(logits[0, -1, [model.to_single_token(f'{i:02}') for i in range(100)]], dim=-1)\\n\",\n    \"            prob_diffs.append((probs[i+1:].sum()-probs[:i+1].sum()).item())\\n\",\n    \"prob_diffs = np.array(prob_diffs)\\n\",\n    \"prob_diffs.mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"id\": \"a431bbe5-753d-4f44-ae4a-af69d1c63803\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.8453089594841003\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Evaluate performance of transcoder with all features except bad feature\\n\",\n    \"features = torch.arange(tc10.W_enc.shape[1])\\n\",\n    \"features = features[features != 5315]\\n\",\n    \"y = eval_tc_on_num(list(range(1,99)), features, do_original=False)['new_total_diff'].item()\\n\",\n    \"y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"id\": \"7fcc29fe-358b-4c60-aa23-22b2aaf1edea\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"old_linewidth = plt.rcParams['lines.linewidth']\\n\",\n    \"plt.rcParams['lines.linewidth'] = 2.5\\n\",\n    \"\\n\",\n    \"plt.title('Performance vs. # of features/neurons used', fontsize=15)\\n\",\n    \"\\n\",\n    \"plt.axhline(np.min(mlp_eval), label='Remove MLP10 entirely', color='black')\\n\",\n    \"plt.axhline([0.8829426078163848], label='Original model', color='C1', linestyle='dotted')\\n\",\n    \"plt.axhline([0.7978020669246206], label='Replace with TC10', color='C0', linestyle='dotted', alpha=0.5)\\n\",\n    \"plt.axhline([0.8453089594841003], label='Replace with TC10 (without tc10[5315])', color='C0', linestyle='dotted')\\n\",\n    \"\\n\",\n    \"plt.plot(mlp_eval, label='Neurons', color='C1')\\n\",\n    \"plt.plot(tc_eval, label='Transcoder features (with tc10[5315])', color='C0', linestyle='dashed', alpha=0.5)\\n\",\n    \"plt.plot(tc_eval_new, label='Transcoder features (without tc10[5315])', color='C0')\\n\",\n    \"\\n\",\n    \"plt.xlabel('Number of features/neurons', fontsize=12)\\n\",\n    \"plt.ylabel('Probability difference', fontsize=12)\\n\",\n    \"plt.legend()\\n\",\n    \"plt.show()\\n\",\n    \"\\n\",\n    \"plt.rcParams['lines.linewidth'] = old_linewidth\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "interp-comparison.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"677b961b-0971-43a7-9f9c-c8cdc7487864\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Pythia-410M transcoder-vs.-SAE interpretability challenge!\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"id\": \"41bb7b5f-31e7-47bd-80d0-617c66174cb5\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"989bda79-57c3-477c-98cf-0994db1e90f6\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, import the SAE/transcoder code, along with the model that we'll be analyzing (GPT2-small).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"b3e4c6bf-2f7a-4420-a0c8-dae13b0a723f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Loaded pretrained model pythia-410m into HookedTransformer\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\\n\",\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"import os\\n\",\n    \"import torch\\n\",\n    \"\\n\",\n    \"model = HookedTransformer.from_pretrained('pythia-410m')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"412c64ef-d644-49d4-9695-6d97dbe64ed4\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"Now, load in a corpus of text that we'll use for our analysis. We'll be drawing from OpenWebText, which is similar to the dataset on which GPT2-small was trained.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"c0d05463-ccc7-4c0b-97f0-618df0ea4498\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"566356a8-ff08-4fce-857e-065245f70dd6\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"import numpy as np\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"9015ff5e-b158-47c9-874a-850f5fa41700\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"8c04591d-2d89-4f9f-8ff8-53cb21b8022a\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Load transcoder and SAEs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"ceee9c39-f092-47c3-a5b8-bed038158906\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pickle\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"263847f2-be18-41d2-84e5-66e5ef6144b6\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"pythia-transcoders/lr_0.0002_l1_5.5e-05/szsvunrm/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"with open(f\\\"{transcoder_template}_log_feature_sparsity.pt\\\", \\\"rb\\\") as fp:\\n\",\n    \"    tc_sparsity = pickle.load(fp)\\n\",\n    \"tc_freqs = tc_sparsity['freqs']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"43706dae-4a5c-4896-90d5-ad216f24e3d9\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sae_template = \\\"./pythia-saes/l1_7e-05/olr1w3lx/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"sae = SparseAutoencoder.load_from_pretrained(f\\\"{sae_template}.pt\\\").eval()\\n\",\n    \"with open(f\\\"{sae_template}_log_feature_sparsity.pt\\\", \\\"rb\\\") as fp:\\n\",\n    \"    sae_sparsity = pickle.load(fp)\\n\",\n    \"sae_freqs = sae_sparsity['freqs']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"ae6b83d2-3ea6-42dd-bc74-953ca44bfedb\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.hist(sae_freqs, bins=100)\\n\",\n    \"plt.hist(tc_freqs, bins=100)\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"id\": \"a5f9dd4d-b210-491d-8ea7-57e2347526ca\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"tc_live = np.arange(len(tc_freqs))[utils.to_numpy(tc_freqs > -4)]\\n\",\n    \"sae_live = np.arange(len(sae_freqs))[utils.to_numpy(sae_freqs > -4)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"6f8d39e3-4a1c-43dd-aef6-3ce7fc6c1c95\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(10403, 9381)\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(sae_live), len(tc_live)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"19a7678b-9aa0-40a9-a6e3-912226fa0294\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Generate feature dashboards\\n\",\n    \"\\n\",\n    \"This code generates a list of feature dashboards for 50 random transcoder features and 50 random SAE features. It saves these dashboards along with a text file containing the features that they correspond to.\\n\",\n    \"\\n\",\n    \"Note that we found that SAE features might have different ranges of activations than transcoder features. To prevent this from coloring our assessment, we then wrote a short additional script (not included here) to remove all numerical information about feature activations from the feature dashboards.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"id\": \"ae027264-269b-4809-9db0-27ac5e0035c1\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"save_dir = 'feature dashboards/'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"id\": \"fa5beb13-3923-45ff-aa09-731633e131de\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import random\\n\",\n    \"\\n\",\n    \"num_features = 50\\n\",\n    \"tc_features = np.random.choice(tc_live[1:], size=num_features, replace=False)\\n\",\n    \"sae_features = np.random.choice(sae_live[1:], size=num_features, replace=False)\\n\",\n    \"features_list = [(x, 'tc') for x in tc_features] + [(x, 'sae') for x in sae_features]\\n\",\n    \"random.shuffle(features_list)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"id\": \"996bc3d0-f013-48e1-a2ff-163b2876d1b9\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 0\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.75it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 1\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.74it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 2\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.74it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 4\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.75it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 5\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.74it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 6\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.74it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 7\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.74it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 8\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.75it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 9\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:54<00:00,  1.75it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"i: 10\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \" 92%|█████████▎| 185/200 [01:46<00:08,  1.74it/s]\\n\",\n      \"\\n\",\n      \"KeyboardInterrupt\\n\",\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"i = 0\\n\",\n    \"while i < 2*num_features:\\n\",\n    \"    print(f\\\"i: {i}\\\")\\n\",\n    \"    feature_idx, feature_type = features_list[i]\\n\",\n    \"    if feature_type == 'tc':\\n\",\n    \"        scores = get_feature_scores(model, transcoder, owt_tokens_torch, feature_idx, batch_size=128)\\n\",\n    \"    elif feature_type == 'sae':\\n\",\n    \"        scores = get_feature_scores(model, sae, owt_tokens_torch, feature_idx, batch_size=128)\\n\",\n    \"        \\n\",\n    \"    if (scores>0).sum() < 4:\\n\",\n    \"        # replace feature if there are less than four activating examples\\n\",\n    \"        new_feature = None\\n\",\n    \"        while new_feature is None or (new_feature, feature_type) in features_list:\\n\",\n    \"            new_feature = random.choice(tc_live[1:] if feature_type == 'tc' else sae_live[1:])\\n\",\n    \"        del features_list[i]\\n\",\n    \"        features_list.append((new_feature, feature_type))\\n\",\n    \"        continue\\n\",\n    \"    \\n\",\n    \"    with open(save_dir + f'{i}.html', \\\"w\\\") as fp:\\n\",\n    \"        fp.write(display_activating_examples_dash(model, owt_tokens_torch, scores, do_display=False))\\n\",\n    \"    i += 1\\n\",\n    \"\\n\",\n    \"with open(save_dir + 'SECRET_FEATURES_LIST.txt', \\\"w\\\") as fp:\\n\",\n    \"    fp.write(\\\"\\\\n\\\".join([f'{i}: {feature_type}[{feature_idx}]' for i, (feature_type, feature_idx) in enumerate(features_list)]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"995ae1b3-1460-46de-afb7-721776cbdc43\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Evaluating results\\n\",\n    \"\\n\",\n    \"This section shows how we evaluated the results of our interpretability comparison. We load in the list of features and compare them to a list of notes (taken by the human evaluator) for each feature. Then, we can see how many SAE/transcoder features were interpretable, maybe-interpretable, or uninterpretable.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"id\": \"35cfcf12-71a4-4a5d-93e4-48d0e6eb8183\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"with open('feature dashboards/SECRET_FEATURES_LIST.txt', 'r') as fp:\\n\",\n    \"    feature_strs = fp.readlines()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"6f9628e2-f415-4482-a62e-06a828341a9a\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\\n\",\n    \"is_tc = np.array(['tc' in x for x in feature_strs])\\n\",\n    \"is_sae = np.array(['sae' in x for x in feature_strs])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"a4e3d7d0-5eef-4362-8335-34e623369155\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"50\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"is_tc.sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9416dd2e-d55c-4809-b66c-1e53625d493f\",\n   \"metadata\": {},\n   \"source\": [\n    \"The below cell contains the human evaluator's notes on feature interpretability.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"61c92f3b-67f9-444d-a5f8-b8423b246528\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"interp_strs = \\\\\\n\",\n    \"\\\"\\\"\\\"0 yes\\n\",\n    \"1 yes, context-free\\n\",\n    \"2 yes\\n\",\n    \"3 maybe, context-free\\n\",\n    \"4 yes\\n\",\n    \"5 yes\\n\",\n    \"6 yes\\n\",\n    \"7 yes\\n\",\n    \"8 yes\\n\",\n    \"9 yes\\n\",\n    \"10 yes, context-free\\n\",\n    \"11 maybe\\n\",\n    \"12 maybe\\n\",\n    \"13 yes\\n\",\n    \"14 yes, context-free\\n\",\n    \"15 yes\\n\",\n    \"16 yes\\n\",\n    \"17 yes, context-free\\n\",\n    \"18 yes\\n\",\n    \"19 maybe, context-free\\n\",\n    \"20 yes\\n\",\n    \"21 yes\\n\",\n    \"22 yes\\n\",\n    \"23 yes, context-free\\n\",\n    \"24 maybe, context-free\\n\",\n    \"25 yes, context-free\\n\",\n    \"26 yes\\n\",\n    \"27 yes\\n\",\n    \"28 maybe\\n\",\n    \"29 yes\\n\",\n    \"30 maybe, context-free\\n\",\n    \"31 yes\\n\",\n    \"32 yes\\n\",\n    \"33 maybe\\n\",\n    \"34 yes\\n\",\n    \"35 yes\\n\",\n    \"36 yes\\n\",\n    \"37 yes\\n\",\n    \"38 maybe\\n\",\n    \"39 yes\\n\",\n    \"40 yes\\n\",\n    \"41 yes, context-free\\n\",\n    \"42 no\\n\",\n    \"43 no\\n\",\n    \"44 maybe\\n\",\n    \"45 yes\\n\",\n    \"46 yes\\n\",\n    \"47 yes, context-free\\n\",\n    \"48 yes, context-free\\n\",\n    \"49 yes, context-free\\n\",\n    \"50 yes\\n\",\n    \"51 yes\\n\",\n    \"52 yes\\n\",\n    \"53 yes\\n\",\n    \"54 yes\\n\",\n    \"55 maybe\\n\",\n    \"56 yes\\n\",\n    \"57 no\\n\",\n    \"58 maybe\\n\",\n    \"59 yes\\n\",\n    \"60 yes, context-free\\n\",\n    \"61 yes\\n\",\n    \"62 yes\\n\",\n    \"63 maybe\\n\",\n    \"64 yes\\n\",\n    \"65 no\\n\",\n    \"66 yes\\n\",\n    \"67 maybe\\n\",\n    \"68 yes\\n\",\n    \"69 yes\\n\",\n    \"70 yes\\n\",\n    \"71 yes, context-free\\n\",\n    \"72 maybe\\n\",\n    \"73 yes\\n\",\n    \"74 yes\\n\",\n    \"75 yes, context-free\\n\",\n    \"76 yes\\n\",\n    \"77 yes\\n\",\n    \"78 yes, context-free\\n\",\n    \"79 yes\\n\",\n    \"80 yes\\n\",\n    \"81 yes\\n\",\n    \"82 yes, context-free\\n\",\n    \"83 yes\\n\",\n    \"84 no\\n\",\n    \"85 yes\\n\",\n    \"86 yes, context-free\\n\",\n    \"87 yes\\n\",\n    \"88 yes\\n\",\n    \"89 yes\\n\",\n    \"90 yes\\n\",\n    \"91 yes, context-free\\n\",\n    \"92 yes\\n\",\n    \"93 yes\\n\",\n    \"94 yes\\n\",\n    \"95 yes\\n\",\n    \"96 yes, context-free\\n\",\n    \"97 yes\\n\",\n    \"98 maybe\\n\",\n    \"99 yes\\\"\\\"\\\".split(\\\"\\\\n\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"id\": \"ce9278e7-01ef-4a31-a737-e0b68d71fe53\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"is_yes = np.array(['yes' in x for x in interp_strs])\\n\",\n    \"is_maybe = np.array(['maybe' in x for x in interp_strs])\\n\",\n    \"is_no = np.array(['no' in x for x in interp_strs])\\n\",\n    \"is_ctx_free = np.array(['context-free' in x for x in interp_strs])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"id\": \"85d536db-80ba-4fb3-954f-0b7504465c05\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"41\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_tc, is_yes).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"id\": \"881fe686-3395-439d-b2a9-23fea7dda440\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"38\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_sae, is_yes).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"id\": \"1f0386c0-9b3a-4484-9edc-5444916d5fd3\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"8\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_tc, is_maybe).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"id\": \"e24dd7ae-301b-4742-b85d-2bfa94e1c4da\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"8\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_sae, is_maybe).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"id\": \"d284ecd8-a163-4ff3-a1ae-f457af60da37\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_tc, is_no).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"id\": \"cca04b1c-71e6-4420-b9bf-06c2ddd00112\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_sae, is_no).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"id\": \"67fa843d-ed85-4f25-8e1f-ffedf5d42ead\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"6\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_tc, is_ctx_free).sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"id\": \"1a1ba177-a741-4183-8818-59a3147d1029\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"16\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logical_and(is_sae, is_ctx_free).sum()\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "requirements.txt",
    "content": "matplotlib\nnumpy\nplotly\ntorch==2.2.0\ntqdm\ntransformer_lens==1.11.0\ndatasets==2.12.0\neinops==0.7.0\nsetuptools==67.7.2\nwandb==0.16.0\nhuggingface-hub==0.17.3"
  },
  {
    "path": "sae_training/__init__.py",
    "content": ""
  },
  {
    "path": "sae_training/activations_store.py",
    "content": "import os\n\nimport torch\nfrom datasets import load_dataset\nfrom torch.utils.data import DataLoader\nfrom tqdm import tqdm\nfrom transformer_lens import HookedTransformer\n\nimport gc\n\nclass ActivationsStore:\n    \"\"\"\n    Class for streaming tokens and generating and storing activations\n    while training SAEs. \n    \"\"\"\n    def __init__(\n        self, cfg, model: HookedTransformer, create_dataloader: bool = True,\n    ):\n        self.cfg = cfg\n        self.model = model\n        self.dataset = load_dataset(cfg.dataset_path, split=\"train\", streaming=True)\n        self.iterable_dataset = iter(self.dataset)\n        \n        # check if it's tokenized\n        if \"tokens\" in next(self.iterable_dataset).keys():\n            self.cfg.is_dataset_tokenized = True\n            print(\"Dataset is tokenized! Updating config.\")\n        elif \"text\" in next(self.iterable_dataset).keys():\n            self.cfg.is_dataset_tokenized = False\n            print(\"Dataset is not tokenized! Updating config.\")\n        \n        if self.cfg.use_cached_activations:\n            # Sanity check: does the cache directory exist?\n            assert os.path.exists(self.cfg.cached_activations_path), \\\n                f\"Cache directory {self.cfg.cached_activations_path} does not exist. Consider double-checking your dataset, model, and hook names.\"\n            \n            self.next_cache_idx = 0 # which file to open next\n            self.next_idx_within_buffer = 0 # where to start reading from in that file\n            \n            # Check that we have enough data on disk\n            first_buffer = torch.load(f\"{self.cfg.cached_activations_path}/0.pt\")\n            buffer_size_on_disk = first_buffer.shape[0]\n            n_buffers_on_disk = len(os.listdir(self.cfg.cached_activations_path))\n            # Note: we're assuming all files have the same number of tokens\n            # (which seems reasonable imo since that's what our script does)\n            n_activations_on_disk = buffer_size_on_disk * n_buffers_on_disk\n            assert n_activations_on_disk > self.cfg.total_training_tokens, \\\n                f\"Only {n_activations_on_disk/1e6:.1f}M activations on disk, but cfg.total_training_tokens is {self.cfg.total_training_tokens/1e6:.1f}M.\"\n                \n            # TODO add support for \"mixed loading\" (ie use cache until you run out, then switch over to streaming from HF)\n        \n        if create_dataloader:\n            # fill buffer half a buffer, so we can mix it with a new buffer\n            self.storage_buffer_out = None\n            if self.cfg.is_transcoder:\n                # if we're a transcoder, then we want to keep a buffer for our input activations and our output activations\n                self.storage_buffer, self.storage_buffer_out = self.get_buffer(self.cfg.n_batches_in_buffer // 2)\n            else:\n                self.storage_buffer = self.get_buffer(self.cfg.n_batches_in_buffer // 2)\n            self.dataloader = self.get_data_loader()\n\n    def get_batch_tokens(self):\n        \"\"\"\n        Streams a batch of tokens from a dataset.\n        \"\"\"\n\n        batch_size = self.cfg.store_batch_size\n        context_size = self.cfg.context_size\n        device = self.cfg.device\n\n        batch_tokens = torch.zeros(size=(0, context_size), device=device, dtype=torch.long, requires_grad=False)\n\n        current_batch = []\n        current_length = 0\n\n        # pbar = tqdm(total=batch_size, desc=\"Filling batches\")\n        while batch_tokens.shape[0] < batch_size:\n            if not self.cfg.is_dataset_tokenized:\n                s = next(self.iterable_dataset)[\"text\"]\n                tokens = self.model.to_tokens(\n                    s, \n                    truncate=True, \n                    move_to_device=True,\n                    ).squeeze(0)\n                assert len(tokens.shape) == 1, f\"tokens.shape should be 1D but was {tokens.shape}\"\n            else:\n                tokens = torch.tensor(\n                    next(self.iterable_dataset)[\"tokens\"],\n                    dtype=torch.long,\n                    device=device,\n                    requires_grad=False,\n                )\n            token_len = tokens.shape[0]\n\n            # TODO: Fix this so that we are limiting how many tokens we get from the same context.\n            \n            bos_token_id_tensor = torch.tensor([self.model.tokenizer.bos_token_id], device=tokens.device, dtype=torch.long)\n            while token_len > 0 and batch_tokens.shape[0] < batch_size:\n                # Space left in the current batch\n                space_left = context_size - current_length\n\n                # If the current tokens fit entirely into the remaining space\n                if token_len <= space_left:\n                    current_batch.append(tokens[:token_len])\n                    current_length += token_len\n                    break\n\n                else:\n                    # Take as much as will fit\n                    current_batch.append(tokens[:space_left])\n\n                    # Remove used part, add BOS\n                    tokens = tokens[space_left:]\n                    tokens = torch.cat(\n                        (\n                            bos_token_id_tensor,\n                            tokens,\n                        ),\n                        dim=0,\n                    )\n\n                    token_len -= space_left\n                    token_len += 1\n                    current_length = context_size\n\n                # If a batch is full, concatenate and move to next batch\n                if current_length == context_size:\n                    full_batch = torch.cat(current_batch, dim=0)\n                    batch_tokens = torch.cat(\n                        (batch_tokens, full_batch.unsqueeze(0)), dim=0\n                    )\n                    current_batch = []\n                    current_length = 0\n\n            # pbar.n = batch_tokens.shape[0]\n            # pbar.refresh()\n        return batch_tokens[:batch_size]\n\n    def get_activations(self, batch_tokens, get_loss=False):\n        # TODO: get transcoders working with head indices\n        assert(not (self.cfg.is_transcoder and (self.cfg.hook_point_head_index is not None)))\n        \n        act_name = self.cfg.hook_point\n        hook_point_layer = self.cfg.hook_point_layer\n        if self.cfg.hook_point_head_index is not None:\n            activations = self.model.run_with_cache(\n                batch_tokens,\n                names_filter=act_name,\n                stop_at_layer=hook_point_layer+1\n            )[\n                1\n            ][act_name][:,:,self.cfg.hook_point_head_index]\n        else:\n            if not self.cfg.is_transcoder:\n                activations = self.model.run_with_cache(\n                    batch_tokens,\n                    names_filter=act_name,\n                    stop_at_layer=hook_point_layer+1\n                )[\n                    1\n                ][act_name]\n            else:\n                cache = self.model.run_with_cache(\n                    batch_tokens,\n                    names_filter=[act_name, self.cfg.out_hook_point],\n                    stop_at_layer=self.cfg.out_hook_point_layer+1\n                )[1]\n                activations = (cache[act_name], cache[self.cfg.out_hook_point])\n\n        return activations\n\n    def get_buffer(self, n_batches_in_buffer):\n        gc.collect()\n        torch.cuda.empty_cache()\n        \n        context_size = self.cfg.context_size\n        batch_size = self.cfg.store_batch_size\n        d_in = self.cfg.d_in\n        total_size = batch_size * n_batches_in_buffer\n\n        # TODO: get transcoders working with cached activations\n        assert(not (self.cfg.is_transcoder and self.cfg.use_cached_activations))\n        if self.cfg.use_cached_activations:\n            # Load the activations from disk\n            buffer_size = total_size * context_size\n            # Initialize an empty tensor (flattened along all dims except d_in)\n            new_buffer = torch.zeros((buffer_size, d_in), dtype=self.cfg.dtype,\n                                     device=self.cfg.device)\n            n_tokens_filled = 0\n            \n            # The activations may be split across multiple files,\n            # Or we might only want a subset of one file (depending on the sizes)\n            while n_tokens_filled < buffer_size:\n                # Load the next file\n                # Make sure it exists\n                if not os.path.exists(f\"{self.cfg.cached_activations_path}/{self.next_cache_idx}.pt\"):\n                    print(\"\\n\\nWarning: Ran out of cached activation files earlier than expected.\")\n                    print(f\"Expected to have {buffer_size} activations, but only found {n_tokens_filled}.\")\n                    if buffer_size % self.cfg.total_training_tokens != 0:\n                        print(\"This might just be a rounding error — your batch_size * n_batches_in_buffer * context_size is not divisible by your total_training_tokens\")\n                    print(f\"Returning a buffer of size {n_tokens_filled} instead.\")\n                    print(\"\\n\\n\")\n                    new_buffer = new_buffer[:n_tokens_filled]\n                    break\n                activations = torch.load(f\"{self.cfg.cached_activations_path}/{self.next_cache_idx}.pt\")\n                \n                # If we only want a subset of the file, take it\n                taking_subset_of_file = False\n                if n_tokens_filled + activations.shape[0] > buffer_size:\n                    activations = activations[:buffer_size - n_tokens_filled]\n                    taking_subset_of_file = True\n                \n                # Add it to the buffer\n                new_buffer[n_tokens_filled : n_tokens_filled + activations.shape[0]] = activations\n                \n                # Update counters\n                n_tokens_filled += activations.shape[0]\n                if taking_subset_of_file:\n                    self.next_idx_within_buffer = activations.shape[0]\n                else:\n                    self.next_cache_idx += 1\n                    self.next_idx_within_buffer = 0\n                \n            return new_buffer\n\n        refill_iterator = range(0, batch_size * n_batches_in_buffer, batch_size)\n        # refill_iterator = tqdm(refill_iterator, desc=\"generate activations\")\n\n        # Initialize empty tensor buffer of the maximum required size\n        new_buffer = torch.zeros(\n            (total_size, context_size, d_in),\n            dtype=self.cfg.dtype,\n            device=self.cfg.device,\n        )\n\n        new_buffer_out = None\n        if self.cfg.is_transcoder:\n            new_buffer_out = torch.zeros(\n                (total_size, context_size, self.cfg.d_out),\n                dtype=self.cfg.dtype,\n                device=self.cfg.device,\n            )\n\n        # Insert activations directly into pre-allocated buffer\n        # pbar = tqdm(total=n_batches_in_buffer, desc=\"Filling buffer\")\n        for refill_batch_idx_start in refill_iterator:\n            refill_batch_tokens = self.get_batch_tokens()\n            if not self.cfg.is_transcoder:\n                refill_activations = self.get_activations(refill_batch_tokens)\n                new_buffer[\n                    refill_batch_idx_start : refill_batch_idx_start + batch_size\n                ] = refill_activations\n            else:\n                refill_activations_in, refill_activations_out = self.get_activations(refill_batch_tokens)\n                new_buffer[\n                    refill_batch_idx_start : refill_batch_idx_start + batch_size\n                ] = refill_activations_in\n\n                new_buffer_out[\n                    refill_batch_idx_start : refill_batch_idx_start + batch_size\n                ] = refill_activations_out\n            \n            # pbar.update(1)\n\n        new_buffer = new_buffer.reshape(-1, d_in)\n        randperm = torch.randperm(new_buffer.shape[0])\n        new_buffer = new_buffer[randperm]\n\n        if self.cfg.is_transcoder:\n            new_buffer_out = new_buffer_out.reshape(-1, self.cfg.d_out)\n            new_buffer_out = new_buffer_out[randperm]\n\n        if self.cfg.is_transcoder:\n            return new_buffer, new_buffer_out\n        else:\n            return new_buffer\n\n    def get_data_loader(self,) -> DataLoader:\n        '''\n        Return a torch.utils.dataloader which you can get batches from.\n        \n        Should automatically refill the buffer when it gets to n % full. \n        (better mixing if you refill and shuffle regularly).\n        \n        '''\n        \n        batch_size = self.cfg.train_batch_size\n        \n        if self.cfg.is_transcoder:\n            # ugly code duplication if we're a transcoder\n            new_buffer, new_buffer_out = self.get_buffer(self.cfg.n_batches_in_buffer // 2)\n            mixing_buffer = torch.cat(\n                [new_buffer,\n                 self.storage_buffer]\n            )\n            mixing_buffer_out = torch.cat(\n                [new_buffer_out,\n                 self.storage_buffer_out]\n            )\n\n            assert(mixing_buffer.shape[0] == mixing_buffer_out.shape[0])\n            randperm = torch.randperm(mixing_buffer.shape[0])\n            mixing_buffer = mixing_buffer[randperm]\n            mixing_buffer_out = mixing_buffer_out[randperm]\n\n            self.storage_buffer = mixing_buffer[:mixing_buffer.shape[0]//2]\n            self.storage_buffer_out = mixing_buffer_out[:mixing_buffer_out.shape[0]//2]\n\n            # have to properly stack both of our new buffers into the dataloader\n            \"\"\"stacked_buffers = torch.stack([\n                mixing_buffer[mixing_buffer.shape[0]//2:],\n                mixing_buffer_out[mixing_buffer.shape[0]//2:]\n            ], dim=1)\"\"\"\n            catted_buffers = torch.cat([\n                mixing_buffer[mixing_buffer.shape[0]//2:],\n                mixing_buffer_out[mixing_buffer.shape[0]//2:]\n            ], dim=1)\n\n            #dataloader = iter(DataLoader(stacked_buffers, batch_size=batch_size, shuffle=True))\n            dataloader = iter(DataLoader(catted_buffers, batch_size=batch_size, shuffle=True))\n        else:\n            # 1. # create new buffer by mixing stored and new buffer\n            mixing_buffer = torch.cat(\n                [self.get_buffer(self.cfg.n_batches_in_buffer // 2),\n                 self.storage_buffer]\n            )\n            \n            mixing_buffer = mixing_buffer[torch.randperm(mixing_buffer.shape[0])]\n            \n            # 2.  put 50 % in storage\n            self.storage_buffer = mixing_buffer[:mixing_buffer.shape[0]//2]\n        \n            # 3. put other 50 % in a dataloader\n            dataloader = iter(DataLoader(mixing_buffer[mixing_buffer.shape[0]//2:], batch_size=batch_size, shuffle=True))\n        \n        return dataloader\n    \n    \n    def next_batch(self):\n        \"\"\"\n        Get the next batch from the current DataLoader. \n        If the DataLoader is exhausted, refill the buffer and create a new DataLoader.\n        \"\"\"\n        try:\n            # Try to get the next batch\n            return next(self.dataloader)\n        except StopIteration:\n            # If the DataLoader is exhausted, create a new one\n            self.dataloader = self.get_data_loader()\n            return next(self.dataloader)"
  },
  {
    "path": "sae_training/config.py",
    "content": "from abc import ABC\nfrom dataclasses import dataclass\nfrom typing import Optional\n\nimport torch\n\nimport wandb\n\n\n@dataclass\nclass RunnerConfig(ABC):\n    \"\"\"\n    The config that's shared across all runners.\n    \"\"\"\n\n    # Data Generating Function (Model + Training Distibuion)\n    model_name: str = \"gelu-2l\"\n    hook_point: str = \"blocks.0.hook_mlp_out\"\n    hook_point_layer: int = 0\n    hook_point_head_index: Optional[int] = None\n    dataset_path: str = \"NeelNanda/c4-tokenized-2b\"\n    is_dataset_tokenized: bool = True\n    context_size: int = 128\n    use_cached_activations: bool = False\n    cached_activations_path: Optional[\n        str\n    ] = None  # Defaults to \"activations/{dataset}/{model}/{full_hook_name}_{hook_point_head_index}\"\n\n    # SAE Parameters\n    d_in: int = 512\n\n    # Activation Store Parameters\n    n_batches_in_buffer: int = 20\n    total_training_tokens: int = 2_000_000\n    store_batch_size: int = 1024\n\n    # Misc\n    device: str = \"cpu\"\n    seed: int = 42\n    dtype: torch.dtype = torch.float32\n\n    # transcoder stuff\n    is_transcoder: bool = False\n    out_hook_point: Optional[str] = None\n    out_hook_point_layer: Optional[int] = None\n    d_out: Optional[int] = None\n\n    # sparse-connection sparse transcoder stuff\n    is_sparse_connection: bool = False\n    sparse_connection_sae_path: Optional[str] = None\n    sparse_connection_l1_coeff: Optional[float] = None\n    sparse_connection_use_W_enc: bool = True\n\n    def __post_init__(self):\n        # Autofill cached_activations_path unless the user overrode it\n        if self.cached_activations_path is None:\n            self.cached_activations_path = f\"activations/{self.dataset_path.replace('/', '_')}/{self.model_name.replace('/', '_')}/{self.hook_point}\"\n            if self.hook_point_head_index is not None:\n                self.cached_activations_path += f\"_{self.hook_point_head_index}\"\n\n\n@dataclass\nclass LanguageModelSAERunnerConfig(RunnerConfig):\n    \"\"\"\n    Configuration for training a sparse autoencoder on a language model.\n    \"\"\"\n\n    # SAE Parameters\n    b_dec_init_method: str = \"geometric_median\"\n    expansion_factor: int = 4\n    from_pretrained_path: Optional[str] = None\n\n    # Training Parameters\n    l1_coefficient: float = 1e-3\n    lr: float = 3e-4\n    lr_scheduler_name: str = \"constant\"  # constant, constantwithwarmup, linearwarmupdecay, cosineannealing, cosineannealingwarmup\n    lr_warm_up_steps: int = 500\n    train_batch_size: int = 4096\n\n    # transcoder stuff\n    is_transcoder: bool = False\n    out_hook_point: Optional[str] = None\n    out_hook_point_layer: Optional[int] = None\n    d_out: Optional[int] = None\n\n    # sparse-connection sparse transcoder stuff\n    is_sparse_connection: bool = False\n    sparse_connection_sae_path: Optional[str] = None\n    sparse_connection_l1_coeff: Optional[float] = None\n    sparse_connection_use_W_enc: bool = True\n\n    # Resampling protocol args\n    use_ghost_grads: bool = False, # want to change this to true on some timeline.\n    feature_sampling_window: int = 2000\n    feature_sampling_method: str = \"Anthropic\"  # None or Anthropic\n    resample_batches: int = 32\n    feature_reinit_scale: float = 0.2\n    dead_feature_window: int = 1000  # unless this window is larger feature sampling,\n    dead_feature_estimation_method: str = \"no_fire\"\n    dead_feature_threshold: float = 1e-8\n\n    # WANDB\n    log_to_wandb: bool = True\n    wandb_project: str = \"mats_sae_training_language_model\"\n    wandb_entity: str = None\n    wandb_log_frequency: int = 10\n\n    # Misc\n    n_checkpoints: int = 0\n    checkpoint_path: str = \"checkpoints\"\n    use_tqdm: bool = True\n\n    def __post_init__(self):\n        super().__post_init__()\n        self.d_sae = self.d_in * self.expansion_factor\n        self.tokens_per_buffer = (\n            self.train_batch_size * self.context_size * self.n_batches_in_buffer\n        )\n\n        self.run_name = f\"{self.d_sae}-L1-{self.l1_coefficient}-LR-{self.lr}-Tokens-{self.total_training_tokens:3.3e}\"\n\n        if self.feature_sampling_method not in [None, \"l2\", \"anthropic\"]:\n            raise ValueError(\n                f\"feature_sampling_method must be None, l2, or anthropic. Got {self.feature_sampling_method}\"\n            )\n\n        if self.b_dec_init_method not in [\"geometric_median\", \"mean\", \"zeros\"]:\n            raise ValueError(\n                f\"b_dec_init_method must be geometric_median, mean, or zeros. Got {self.b_dec_init_method}\"\n            )\n        if self.b_dec_init_method == \"zeros\":\n            print(\n                \"Warning: We are initializing b_dec to zeros. This is probably not what you want.\"\n            )\n\n        self.device = torch.device(self.device)\n\n        unique_id = wandb.util.generate_id()\n        self.checkpoint_path = f\"{self.checkpoint_path}/{unique_id}\"\n\n        print(\n            f\"Run name: {self.d_sae}-L1-{self.l1_coefficient}-LR-{self.lr}-Tokens-{self.total_training_tokens:3.3e}\"\n        )\n        # Print out some useful info:\n        n_tokens_per_buffer = (\n            self.store_batch_size * self.context_size * self.n_batches_in_buffer\n        )\n        print(f\"n_tokens_per_buffer (millions): {n_tokens_per_buffer / 10 **6}\")\n        n_contexts_per_buffer = self.store_batch_size * self.n_batches_in_buffer\n        print(\n            f\"Lower bound: n_contexts_per_buffer (millions): {n_contexts_per_buffer / 10 **6}\"\n        )\n\n        total_training_steps = self.total_training_tokens // self.train_batch_size\n        print(f\"Total training steps: {total_training_steps}\")\n\n        total_wandb_updates = total_training_steps // self.wandb_log_frequency\n        print(f\"Total wandb updates: {total_wandb_updates}\")\n\n        # how many times will we sample dead neurons?\n        # assert self.dead_feature_window <= self.feature_sampling_window, \"dead_feature_window must be smaller than feature_sampling_window\"\n        n_dead_feature_samples = total_training_steps // self.dead_feature_window\n        n_feature_window_samples = total_training_steps // self.feature_sampling_window\n        print(\n            f\"n_tokens_per_feature_sampling_window (millions): {(self.feature_sampling_window * self.context_size * self.train_batch_size) / 10 **6}\"\n        )\n        print(\n            f\"n_tokens_per_dead_feature_window (millions): {(self.dead_feature_window * self.context_size * self.train_batch_size) / 10 **6}\"\n        )\n        if self.feature_sampling_method != None:\n            print(f\"We will reset neurons {n_dead_feature_samples} times.\")\n        \n        if self.use_ghost_grads:\n            print(\"Using Ghost Grads.\")\n        \n        print(\n            f\"We will reset the sparsity calculation {n_feature_window_samples} times.\"\n        )\n        print(f\"Number of tokens when resampling: {self.resample_batches * self.store_batch_size}\")\n        # print(\"Number tokens in dead feature calculation window: \", self.dead_feature_window * self.train_batch_size)\n        print(\n            f\"Number tokens in sparsity calculation window: {self.feature_sampling_window * self.train_batch_size:.2e}\"\n        )\n\n\n@dataclass\nclass CacheActivationsRunnerConfig(RunnerConfig):\n    \"\"\"\n    Configuration for caching activations of an LLM.\n    \"\"\"\n\n    # Activation caching stuff\n    shuffle_every_n_buffers: int = 10\n    n_shuffles_with_last_section: int = 10\n    n_shuffles_in_entire_dir: int = 10\n    n_shuffles_final: int = 100\n\n    def __post_init__(self):\n        super().__post_init__()\n        if self.use_cached_activations:\n            # this is a dummy property in this context; only here to avoid class compatibility headaches\n            raise ValueError(\n                \"use_cached_activations should be False when running cache_activations_runner\"\n            )\n"
  },
  {
    "path": "sae_training/geom_median/.gitignore",
    "content": "# pycharm\n.idea\n\n# compiled\n._pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nenv/\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\n.eggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\n*.egg-info/\n.installed.cfg\n*.egg\n\n# vim\n[._]*.sw[a-p]\n[._]s[a-rt-v][a-z]\n[._]ss[a-gi-z]\n[._]sw[a-p]\n\n# Session\nSession.vim\nSessionx.vim\n\n# Temporary\n.netrwhist\n*~\n# Auto-generated tag files\ntags\n# Persistent undo\n[._]*.un~\n"
  },
  {
    "path": "sae_training/geom_median/LICENSE",
    "content": "The GNU General Public License, Version 3, 29 June 2007 (GPLv3)\n===============================================================\n\n> Copyright &copy; 2007\n> Free Software Foundation, Inc.\n> <<http://fsf.org/>>\n\nEveryone is permitted to copy and distribute verbatim copies of this license\ndocument, but changing it is not allowed.\n\n\nPreamble\n--------\n\nThe GNU General Public License is a free, copyleft license for software and\nother kinds of works.\n\nThe licenses for most software and other practical works are designed to take\naway your freedom to share and change the works. By contrast, the GNU General\nPublic License is intended to guarantee your freedom to share and change all\nversions of a program--to make sure it remains free software for all its users.\nWe, the Free Software Foundation, use the GNU General Public License for most of\nour software; it applies also to any other work released this way by its\nauthors. 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Additional Terms.\n\n\"Additional permissions\" are terms that supplement the terms of this License by\nmaking exceptions from one or more of its conditions. Additional permissions\nthat are applicable to the entire Program shall be treated as though they were\nincluded in this License, to the extent that they are valid under applicable\nlaw. If additional permissions apply only to part of the Program, that part may\nbe used separately under those permissions, but the entire Program remains\ngoverned by this License without regard to the additional permissions.\n\nWhen you convey a copy of a covered work, you may at your option remove any\nadditional permissions from that copy, or from any part of it. (Additional\npermissions may be written to require their own removal in certain cases when\nyou modify the work.) 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If the Program as you received it, or any part\nof it, contains a notice stating that it is governed by this License along with\na term that is a further restriction, you may remove that term. If a license\ndocument contains a further restriction but permits relicensing or conveying\nunder this License, you may add to a covered work material governed by the terms\nof that license document, provided that the further restriction does not survive\nsuch relicensing or conveying.\n\nIf you add terms to a covered work in accord with this section, you must place,\nin the relevant source files, a statement of the additional terms that apply to\nthose files, or a notice indicating where to find the applicable terms.\n\nAdditional terms, permissive or non-permissive, may be stated in the form of a\nseparately written license, or stated as exceptions; the above requirements\napply either way.\n\n\n### 8. Termination.\n\nYou may not propagate or modify a covered work except as expressly provided\nunder this License. Any attempt otherwise to propagate or modify it is void, and\nwill automatically terminate your rights under this License (including any\npatent licenses granted under the third paragraph of section 11).\n\nHowever, if you cease all violation of this License, then your license from a\nparticular copyright holder is reinstated (a) provisionally, unless and until\nthe copyright holder explicitly and finally terminates your license, and (b)\npermanently, if the copyright holder fails to notify you of the violation by\nsome reasonable means prior to 60 days after the cessation.\n\nMoreover, your license from a particular copyright holder is reinstated\npermanently if the copyright holder notifies you of the violation by some\nreasonable means, this is the first time you have received notice of violation\nof this License (for any work) from that copyright holder, and you cure the\nviolation prior to 30 days after your receipt of the notice.\n\nTermination of your rights under this section does not terminate the licenses of\nparties who have received copies or rights from you under this License. If your\nrights have been terminated and not permanently reinstated, you do not qualify\nto receive new licenses for the same material under section 10.\n\n\n### 9. Acceptance Not Required for Having Copies.\n\nYou are not required to accept this License in order to receive or run a copy of\nthe Program. Ancillary propagation of a covered work occurring solely as a\nconsequence of using peer-to-peer transmission to receive a copy likewise does\nnot require acceptance. However, nothing other than this License grants you\npermission to propagate or modify any covered work. These actions infringe\ncopyright if you do not accept this License. Therefore, by modifying or\npropagating a covered work, you indicate your acceptance of this License to do\nso.\n\n\n### 10. 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Patents.\n\nA \"contributor\" is a copyright holder who authorizes use under this License of\nthe Program or a work on which the Program is based. The work thus licensed is\ncalled the contributor's \"contributor version\".\n\nA contributor's \"essential patent claims\" are all patent claims owned or\ncontrolled by the contributor, whether already acquired or hereafter acquired,\nthat would be infringed by some manner, permitted by this License, of making,\nusing, or selling its contributor version, but do not include claims that would\nbe infringed only as a consequence of further modification of the contributor\nversion. 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No Surrender of Others' Freedom.\n\nIf conditions are imposed on you (whether by court order, agreement or\notherwise) that contradict the conditions of this License, they do not excuse\nyou from the conditions of this License. If you cannot convey a covered work so\nas to satisfy simultaneously your obligations under this License and any other\npertinent obligations, then as a consequence you may not convey it at all. For\nexample, if you agree to terms that obligate you to collect a royalty for\nfurther conveying from those to whom you convey the Program, the only way you\ncould satisfy both those terms and this License would be to refrain entirely\nfrom conveying the Program.\n\n\n### 13. 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If the Program specifies\nthat a certain numbered version of the GNU General Public License \"or any later\nversion\" applies to it, you have the option of following the terms and\nconditions either of that numbered version or of any later version published by\nthe Free Software Foundation. If the Program does not specify a version number\nof the GNU General Public License, you may choose any version ever published by\nthe Free Software Foundation.\n\nIf the Program specifies that a proxy can decide which future versions of the\nGNU General Public License can be used, that proxy's public statement of\nacceptance of a version permanently authorizes you to choose that version for\nthe Program.\n\nLater license versions may give you additional or different permissions.\nHowever, no additional obligations are imposed on any author or copyright holder\nas a result of your choosing to follow a later version.\n\n\n### 15. 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Interpretation of Sections 15 and 16.\n\nIf the disclaimer of warranty and limitation of liability provided above cannot\nbe given local legal effect according to their terms, reviewing courts shall\napply local law that most closely approximates an absolute waiver of all civil\nliability in connection with the Program, unless a warranty or assumption of\nliability accompanies a copy of the Program in return for a fee.\n\nEND OF TERMS AND CONDITIONS\n\n\nHow to Apply These Terms to Your New Programs\n---------------------------------------------\n\nIf you develop a new program, and you want it to be of the greatest possible use\nto the public, the best way to achieve this is to make it free software which\neveryone can redistribute and change under these terms.\n\nTo do so, attach the following notices to the program. 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If not, see <http://www.gnu.org/licenses/>.\n\nAlso add information on how to contact you by electronic and paper mail.\n\nIf the program does terminal interaction, make it output a short notice like\nthis when it starts in an interactive mode:\n\n    <program>  Copyright (C) <year>  <name of author>\n    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'.\n    This is free software, and you are welcome to redistribute it under certain\n    conditions; type 'show c' for details.\n\nThe hypothetical commands 'show w' and 'show c' should show the appropriate\nparts of the General Public License. Of course, your program's commands might be\ndifferent; for a GUI interface, you would use an \"about box\".\n\nYou should also get your employer (if you work as a programmer) or school, if\nany, to sign a \"copyright disclaimer\" for the program, if necessary. For more\ninformation on this, and how to apply and follow the GNU GPL, see\n<<http://www.gnu.org/licenses/>>.\n\nThe GNU General Public License does not permit incorporating your program into\nproprietary programs. If your program is a subroutine library, you may consider\nit more useful to permit linking proprietary applications with the library. If\nthis is what you want to do, use the GNU Lesser General Public License instead\nof this License. But first, please read\n<<http://www.gnu.org/philosophy/why-not-lgpl.html>>.\n"
  },
  {
    "path": "sae_training/geom_median/README.md",
    "content": "# Differentiable and Fast Geometric Median in NumPy and PyTorch\n\nThis package implements a fast numerical algorithm to compute the geometric median of high dimensional vectors.\nAs a generalization of the median (of scalars), the [geometric median](https://en.wikipedia.org/wiki/Geometric_median) \nis a robust estimator of the mean in the presence of outliers and contaminations (adversarial or otherwise). \n\n![illustration](fig/illustration.png)\n\nIt is defined as the minimizer of the convex optimization problem as follows.\n![definition](fig/gm.jpg)\n\nThe geometric median is also known as the Fermat point, Weber's L1 median, Fréchet median among others. \nIt has a breakdown point of 0.5, meaning that it yields a robust aggregate even under arbitrary corruptions to points accounting for under half the total weight. We use the smoothed Weiszfeld algorithm to compute the geometric median. \n\n**Features**:\n- Implementation in both NumPy and PyTorch.\n- PyTorch implementation is fully differentiable (compatible with gradient backpropagation a.k.a. automatic differentiation) and can run on GPUs with CUDA tensors.\n- Blazing fast algorithm that converges linearly in almost all practical settings. \n\n# Installation\nThis package can be installed via pip as `pip install geom_median`. Alternatively, for an editable install, \nrun\n```bash\ngit clone git@github.com:krishnap25/geom_median.git\ncd geom_median\npip install -e .\n```\n\nYou must have a working installation of PyTorch, version 1.7 or over in case you wish to use the PyTorch API. \nSee details [here](https://pytorch.org/get-started/locally/).\n\n# Usage Guide\nWe describe the PyTorch usage here. The NumPy API is entirely analogous. \n\n```python\nimport torch\nfrom geom_median.torch import compute_geometric_median   # PyTorch API\n# from geom_median.numpy import compute_geometric_median  # NumPy API\n```\n\nFor the simplest use case, supply a list of tensors: \n\n```python\nn = 10  # Number of vectors\nd = 25  # dimensionality of each vector\npoints = [torch.rand(d) for _ in range(n)]   # list of n tensors of shape (d,)\n# The shape of each tensor is the same and can be arbitrary (not necessarily 1-dimensional)\nweights = torch.rand(n)  # non-negative weights of shape (n,)\nout = compute_geometric_median(points, weights)\n# Access the median via `out.median`, which has the same shape as the points, i.e., (d,)\n```\nThe termination condition can be examined through `out.termination`, which gives a message such as \n`\"function value converged within tolerance\"` or `\"maximum iterations reached\"`.\n\nWe also support a use case where each point is given by list of tensors. \nFor instance, each point is the list of parameters of a `torch.nn.Module` for instance as `point = list(module.parameters())`.\nIn this case, this is equivalent to flattening and concatenating all the tensors into a single vector via \n`flatted_point = torch.stack([v.view(-1) for v in point])`.\nThis functionality can be invoked as follows: \n\n```python\nmodels = [torch.nn.Linear(20, 10) for _ in range(n)]  # a list of n models\npoints = [list(model.parameters()) for model in models]  # list of points, where each point is a list of tensors\nout = compute_geometric_median(points, weights=None)  # equivalent to `weights = torch.ones(n)`. \n# Access the median via `out.median`, also given as a list of tensors\n```\n\nWe also support computing the geometric median for each component separately in the list-of-tensors format:\n```python\nmodels = [torch.nn.Linear(20, 10) for _ in range(n)]  # a list of n models\npoints = [list(model.parameters()) for model in models]  # list of points, where each point is a list of tensors\nout = compute_geometric_median(points, weights=None, per_component=True)  \n# Access the median via `out.median`, also given as a list of tensors\n```\nThis per-component geometric median is equivalent in functionality to \n```python\nout.median[j] = compute_geometric_median([p[j] for p in points], weights)\n```\n\n## Backpropagation support\nWhen using the PyTorch API, the result `out.median`, as a function of `points`, supports gradient backpropagation, also known as reverse-mode automatic differentiation. Here is a toy example illustrating this behavior.\n```python\npoints = [torch.rand(d).requires_grad_(True) for _ in range(n)]   # list of tensors with `requires_grad=True`\nout = compute_geometric_median(points, weights=None)\ntorch.linalg.norm(out.median).backward()  # call backward on any downstream function of `out.median`\ngradients = [p.grad for p in points]  # gradients with respect of `points` and upstream nodes in the computation graph\n```\n\n## GPU support\nSimply use as above where `points` and `weights` are CUDA tensors. \n\n# Authors and Contact\n[Krishna Pillutla](https://krishnap25.github.io/)   \n[Sham Kakade](https://sham.seas.harvard.edu/)   \n[Zaid Harchaoui](https://faculty.washington.edu/zaid/)\n\nIn case of questions, please raise an issue on GitHub. \n\n# Citation\nIf you found this package useful, please consider citing this paper. \n\n```\n@article{pillutla:etal:rfa,\n  author={Pillutla, Krishna and Kakade, Sham M. and Harchaoui, Zaid},\n  journal={IEEE Transactions on Signal Processing}, \n  title={{Robust Aggregation for Federated Learning}}, \n  year={2022},\n  volume={70},\n  number={},\n  pages={1142-1154},\n  doi={10.1109/TSP.2022.3153135}\n}\n```\n"
  },
  {
    "path": "sae_training/geom_median/__init__.py",
    "content": "from .src.geom_median import numpy, torch\n"
  },
  {
    "path": "sae_training/geom_median/pyproject.toml",
    "content": "\n[build-system]\nrequires = [\n    \"setuptools>=42\",\n    \"wheel\"\n]\nbuild-backend = \"setuptools.build_meta\"\n"
  },
  {
    "path": "sae_training/geom_median/setup.py",
    "content": "import setuptools\n\nwith open(\"README.md\", \"r\", encoding=\"utf-8\") as fh:\n    long_description = fh.read()\n\nsetuptools.setup(\n    name=\"geom_median\",\n    version=\"0.1.0\",\n    author=\"Krishna Pillutla\",\n    author_email=\"pillutla@cs.washington.edu\",\n    description=\"Implementation of the smoothed Weiszfeld algorithm to compute the geometric median\",\n    long_description=long_description,\n    long_description_content_type=\"text/markdown\",\n    url=\"https://github.com/krishnap25/geom_median\",\n    project_urls={\n        \"Bug Tracker\": \"https://github.com/krishnap25/geom_median/issues\",\n    },\n    classifiers=[\n        \"Programming Language :: Python :: 3\",\n        \"License :: OSI Approved :: GNU General Public License v3 (GPLv3)\",\n        \"Operating System :: OS Independent\",\n    ],\n    package_dir={\"\": \"src\"},\n    packages=setuptools.find_packages(where=\"src\"),\n    python_requires=\">=3.6\",\n    install_requires=[\n        'numpy>=1.18.1',\n        ]\n)\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/__init__.py",
    "content": "\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/numpy/__init__.py",
    "content": "from .main import compute_geometric_median\n\n__all__ = [compute_geometric_median]"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/numpy/main.py",
    "content": "import numpy as np\n\nfrom .weiszfeld_array import geometric_median_array, geometric_median_per_component\nfrom .weiszfeld_list_of_array import geometric_median_list_of_array\nfrom . import utils\n\ndef compute_geometric_median(\n\tpoints, weights=None, per_component=False, skip_typechecks=False,\n\teps=1e-6, maxiter=100, ftol=1e-20\n):\n\t\"\"\" Compute the geometric median of points `points` with weights given by `weights`. \n\t\"\"\"\n\tif weights is None:\n\t\tn = len(points)\n\t\tweights = np.ones(n)\n\tif type(points) == np.ndarray:\n\t\t# `points` are given as an array of shape (n, d)\n\t\tpoints = [p for p in points]  # translate to list of arrays format\n\tif type(points) not in [list, tuple]:\n\t\traise ValueError(\n\t\t\tf\"We expect `points` as a list of arrays or a list of tuples of arrays. Got {type(points)}\"\n\t\t)\n\tif type(points[0]) == np.ndarray: # `points` are given in list of arrays format\n\t\tif not skip_typechecks:\n\t\t\tutils.check_list_of_array_format(points)\n\t\tto_return = geometric_median_array(points, weights, eps, maxiter, ftol)\n\telif type(points[0]) in [list, tuple]: # `points` are in list of list of arrays format\n\t\tif not skip_typechecks:\n\t\t\tutils.check_list_of_list_of_array_format(points)\n\t\tif per_component:\n\t\t\tto_return = geometric_median_per_component(points, weights, eps, maxiter, ftol)\n\t\telse:\n\t\t\tto_return = geometric_median_list_of_array(points, weights, eps, maxiter, ftol)\n\telse:\n\t\traise ValueError(f\"Unexpected format {type(points[0])} for list of list format.\")\n\treturn to_return\n\t\t"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/numpy/utils.py",
    "content": "from itertools import zip_longest\nimport numpy as np\n\ndef check_list_of_array_format(points):\n\tcheck_shapes_compatibility(points, -1)\n\ndef check_list_of_list_of_array_format(points):\n\t# each element of `points` is a list of arrays of compatible shapes\n\tcomponents = zip_longest(*points, fillvalue=np.array(0))\n\tfor i, component in enumerate(components):\n\t\tcheck_shapes_compatibility(component, i)\n\ndef check_shapes_compatibility(list_of_arrays, i):\n\tarr0 = list_of_arrays[0]\n\tif not isinstance(arr0, np.ndarray):\n\t\traise ValueError(\n\t\t\t\"Expected points of format list of `numpy.ndarray`s.\", \n\t\t\tf\"Got {type(arr0)} for component {i} of point 0.\"\n\t\t)\n\tshape = arr0.shape\n\tfor j, arr in enumerate(list_of_arrays[1:]):\n\t\tif not isinstance(arr, np.ndarray):\n\t\t\traise ValueError(\n\t\t\t\tf\"Expected points of format list of `numpy.ndarray`s. Got {type(arr)}\",\n\t\t\t\tf\"for component {i} of point {j+1}.\"\n\t\t\t)\n\t\tif arr.shape != shape:\n\t\t\traise ValueError(\n\t\t\t\tf\"Expected shape {shape} for component {i} of point {j+1}.\",\n\t\t\t\tf\"Got shape {arr.shape} instead.\"\n\t\t\t)\n\t\t\n\n\n\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/numpy/weiszfeld_array.py",
    "content": "import numpy as np\nfrom types import SimpleNamespace\n\ndef geometric_median_array(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:`n`, whose elements are each a ``numpy.array`` of shape ``(d,)``\n    :param weights: ``numpy.array`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a ``numpy.array`` object of shape :math:``(d,)``\n        - `termination`: string explaining how the algorithm terminated.\n        - `logs`: function values encountered through the course of the algorithm in a list.\n    \"\"\"\n    # initialize median estimate at mean\n    median = weighted_average(points, weights)\n    objective_value = geometric_median_objective(median, points, weights)\n    logs = [objective_value]\n\n    # Weiszfeld iterations\n    early_termination = False\n    for _ in range(maxiter):\n        prev_obj_value = objective_value\n        norms = [np.linalg.norm((p - median).reshape(-1)) for p in points]\n        new_weights = weights / np.maximum(eps, norms)\n        median = weighted_average(points, new_weights)\n\n        objective_value = geometric_median_objective(median, points, weights)\n        logs.append(objective_value)\n        if abs(prev_obj_value - objective_value) <= ftol * objective_value:\n            early_termination = True\n            break\n\n    return SimpleNamespace(\n        median=median,\n        termination=\"function value converged within tolerance\" if early_termination else \"maximum iterations reached\",\n        logs=logs,\n    )\n\ndef geometric_median_per_component(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:``n``, where each element is itself a list of ``numpy.ndarray``.\n        Each inner list has the same \"shape\".\n    :param weights: ``numpy.ndarray`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a list of ``numpy.ndarray`` of the same \"shape\" as the input.\n        - `termination`: string explaining how the algorithm terminated, one for each component. \n        - `logs`: function values encountered through the course of the algorithm.\n    \"\"\"\n    components = list(zip(*points))\n    median = []\n    termination = []\n    logs = []\n    for component in components:\n        ret = geometric_median_array(component, weights, eps, maxiter, ftol)\n        median.append(ret.median)\n        termination.append(ret.termination)\n        logs.append(ret.logs)\n    return SimpleNamespace(median=median, termination=termination, logs=logs)\n\ndef weighted_average(points, weights):\n    \"\"\"\n    Compute a weighted average of rows of `points`, with each row weighted by the corresponding entry in `weights`\n    :param points: ``np.ndarray`` of shape (n, d, ...)\n    :param weights: ``np.ndarray`` of shape (n,)\n    :return: weighted average, np.ndarray of shape (d, ...)\n    \"\"\"\n    return np.average(points, weights=weights, axis=0)\n\n\ndef geometric_median_objective(median, points, weights):\n    return np.average([np.linalg.norm((p - median).reshape(-1)) for p in points], weights=weights)"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/numpy/weiszfeld_list_of_array.py",
    "content": "import numpy as np\nfrom types import SimpleNamespace\n\ndef geometric_median_list_of_array(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:``n``, where each element is itself a list of ``numpy.ndarray``.\n        Each inner list has the same \"shape\".\n    :param weights: ``numpy.ndarray`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a list of ``numpy.ndarray`` of the same \"shape\" as the input.\n        - `termination`: string explaining how the algorithm terminated.\n        - `logs`: function values encountered through the course of the algorithm in a list.\n    \"\"\"\n    # initialize median estimate at mean\n    median = weighted_average(points, weights)\n    objective_value = geometric_median_objective(median, points, weights)\n    logs = [objective_value]\n\n    # Weiszfeld iterations\n    early_termination = False\n    for _ in range(maxiter):\n        prev_obj_value = objective_value\n        new_weights = weights / np.maximum(eps, np.asarray([l2distance(p, median) for p in points]))\n        median = weighted_average(points, new_weights)\n\n        objective_value = geometric_median_objective(median, points, weights)\n        logs.append(objective_value)\n        if abs(prev_obj_value - objective_value) <= ftol * objective_value:\n            early_termination = True\n            break\n\n    return SimpleNamespace(\n        median=median,\n        termination=\"function value converged within tolerance\" if early_termination else \"maximum iterations reached\",\n        logs=logs,\n    )\n\ndef weighted_average(points, weights):\n    return [np.average(component, weights=weights, axis=0) for component in zip(*points)]\n\ndef geometric_median_objective(median, points, weights):\n    return np.average([l2distance(p, median) for p in points], weights=weights)\n\n# Simple operators for list-of-array format\ndef l2distance(p1, p2):\n    return np.linalg.norm([np.linalg.norm(x1 - x2) for (x1, x2) in zip(p1, p2)])\n\ndef subtract(p1, p2):\n    return [x1 - x2 for (x1, x2) in zip(p1, p2)]"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/torch/__init__.py",
    "content": "from .main import compute_geometric_median\n\n__all__ = [compute_geometric_median]"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/torch/main.py",
    "content": "import torch\n\nfrom .weiszfeld_array import geometric_median_array, geometric_median_per_component\nfrom .weiszfeld_list_of_array import geometric_median_list_of_array\nfrom . import utils\n\ndef compute_geometric_median(\n\tpoints, weights=None, per_component=False, skip_typechecks=False,\n\teps=1e-6, maxiter=100, ftol=1e-20\n):\n\t\"\"\" Compute the geometric median of points `points` with weights given by `weights`. \n\t\"\"\"\n\tif type(points) == torch.Tensor:\n\t\t# `points` are given as an array of shape (n, d)\n\t\tpoints = [p for p in points]  # translate to list of arrays format\n\tif type(points) not in [list, tuple]:\n\t\traise ValueError(\n\t\t\tf\"We expect `points` as a list of arrays or a list of tuples of arrays. Got {type(points)}\"\n\t\t)\n\tif type(points[0]) == torch.Tensor: # `points` are given in list of arrays format\n\t\tif not skip_typechecks:\n\t\t\tutils.check_list_of_array_format(points)\n\t\tif weights is None:\n\t\t\tweights = torch.ones(len(points), device=points[0].device)\n\t\tto_return = geometric_median_array(points, weights, eps, maxiter, ftol)\n\telif type(points[0]) in [list, tuple]: # `points` are in list of list of arrays format\n\t\tif not skip_typechecks:\n\t\t\tutils.check_list_of_list_of_array_format(points)\n\t\tif weights is None:\n\t\t\tweights = torch.ones(len(points), device=points[0][0].device)\n\t\tif per_component:\n\t\t\tto_return = geometric_median_per_component(points, weights, eps, maxiter, ftol)\n\t\telse:\n\t\t\tto_return = geometric_median_list_of_array(points, weights, eps, maxiter, ftol)\n\telse:\n\t\traise ValueError(f\"Unexpected format {type(points[0])} for list of list format.\")\n\treturn to_return\n\t\t\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/torch/utils.py",
    "content": "from itertools import zip_longest\nimport torch\n\ndef check_list_of_array_format(points):\n\tcheck_shapes_compatibility(points, -1)\n\ndef check_list_of_list_of_array_format(points):\n\t# each element of `points` is a list of arrays of compatible shapes\n\tcomponents = zip_longest(*points, fillvalue=torch.Tensor())\n\tfor i, component in enumerate(components):\n\t\tcheck_shapes_compatibility(component, i)\n\ndef check_shapes_compatibility(list_of_arrays, i):\n\tarr0 = list_of_arrays[0]\n\tif not isinstance(arr0, torch.Tensor):\n\t\traise ValueError(\n\t\t\t\"Expected points of format list of `torch.Tensor`s.\", \n\t\t\tf\"Got {type(arr0)} for component {i} of point 0.\"\n\t\t)\n\tshape = arr0.shape\n\tfor j, arr in enumerate(list_of_arrays[1:]):\n\t\tif not isinstance(arr, torch.Tensor):\n\t\t\traise ValueError(\n\t\t\t\tf\"Expected points of format list of `torch.Tensor`s. Got {type(arr)}\",\n\t\t\t\tf\"for component {i} of point {j+1}.\"\n\t\t\t)\n\t\tif arr.shape != shape:\n\t\t\traise ValueError(\n\t\t\t\tf\"Expected shape {shape} for component {i} of point {j+1}.\",\n\t\t\t\tf\"Got shape {arr.shape} instead.\"\n\t\t\t)\n\t\t\n\n\n\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/torch/weiszfeld_array.py",
    "content": "from types import SimpleNamespace\n\nimport numpy as np\nimport torch\nimport tqdm\n\n\ndef geometric_median_array(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:`n`, whose elements are each a ``torch.Tensor`` of shape ``(d,)``\n    :param weights: ``torch.Tensor`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a ``torch.Tensor`` object of shape :math:``(d,)``\n        - `termination`: string explaining how the algorithm terminated.\n        - `logs`: function values encountered through the course of the algorithm in a list.\n    \"\"\"\n    with torch.no_grad():\n        # initialize median estimate at mean\n        new_weights = weights\n        median = weighted_average(points, weights)\n        objective_value = geometric_median_objective(median, points, weights)\n        logs = [objective_value]\n\n        # Weiszfeld iterations\n        early_termination = False\n        pbar = tqdm.tqdm(range(maxiter))\n        for _ in pbar:\n            prev_obj_value = objective_value\n            norms = torch.stack([torch.linalg.norm((p - median).view(-1)) for p in points])\n            new_weights = weights / torch.clamp(norms, min=eps)\n            median = weighted_average(points, new_weights)\n\n            objective_value = geometric_median_objective(median, points, weights)\n            logs.append(objective_value)\n            if abs(prev_obj_value - objective_value) <= ftol * objective_value:\n                early_termination = True\n                break\n            \n            pbar.set_description(f\"Objective value: {objective_value:.4f}\")\n\n    median = weighted_average(points, new_weights)  # allow autodiff to track it\n    return SimpleNamespace(\n        median=median,\n        new_weights=new_weights,\n        termination=\"function value converged within tolerance\" if early_termination else \"maximum iterations reached\",\n        logs=logs,\n    )\n\ndef geometric_median_per_component(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:``n``, where each element is itself a list of ``numpy.ndarray``.\n        Each inner list has the same \"shape\".\n    :param weights: ``numpy.ndarray`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a list of ``numpy.ndarray`` of the same \"shape\" as the input.\n        - `termination`: string explaining how the algorithm terminated, one for each component. \n        - `logs`: function values encountered through the course of the algorithm.\n    \"\"\"\n    components = list(zip(*points))\n    median = []\n    termination = []\n    logs = []\n    new_weights = []\n    pbar = tqdm.tqdm(components)\n    for component in pbar:\n        ret = geometric_median_array(component, weights, eps, maxiter, ftol)\n        median.append(ret.median)\n        new_weights.append(ret.new_weights)\n        termination.append(ret.termination)\n        logs.append(ret.logs)\n    return SimpleNamespace(median=median, termination=termination, logs=logs)\n\ndef weighted_average(points, weights):\n    weights = weights / weights.sum()\n    ret = points[0] * weights[0]\n    for i in range(1, len(points)):\n        ret += points[i] * weights[i]\n    return ret\n\n@torch.no_grad()\ndef geometric_median_objective(median, points, weights):\n    return np.average([torch.linalg.norm((p - median).reshape(-1)).item() for p in points], weights=weights.cpu())\n"
  },
  {
    "path": "sae_training/geom_median/src/geom_median/torch/weiszfeld_list_of_array.py",
    "content": "import numpy as np\nimport torch\nfrom types import SimpleNamespace\n\ndef geometric_median_list_of_array(points, weights, eps=1e-6, maxiter=100, ftol=1e-20):\n    \"\"\"\n    :param points: list of length :math:``n``, where each element is itself a list of ``torch.Tensor``.\n        Each inner list has the same \"shape\".\n    :param weights: ``torch.Tensor`` of shape :math:``(n,)``.\n    :param eps: Smallest allowed value of denominator, to avoid divide by zero. \n    \tEquivalently, this is a smoothing parameter. Default 1e-6. \n    :param maxiter: Maximum number of Weiszfeld iterations. Default 100\n    :param ftol: If objective value does not improve by at least this `ftol` fraction, terminate the algorithm. Default 1e-20.\n    :return: SimpleNamespace object with fields\n        - `median`: estimate of the geometric median, which is a list of ``torch.Tensor`` of the same \"shape\" as the input.\n        - `termination`: string explaining how the algorithm terminated.\n        - `logs`: function values encountered through the course of the algorithm in a list.\n    \"\"\"\n    with torch.no_grad():\n        # initialize median estimate at mean\n        median = weighted_average(points, weights)\n        new_weights = weights\n        objective_value = geometric_median_objective(median, points, weights)\n        logs = [objective_value]\n\n        # Weiszfeld iterations\n        early_termination = False\n        for _ in range(maxiter):\n            prev_obj_value = objective_value\n            denom = torch.stack([l2distance(p, median) for p in points])\n            new_weights = weights / torch.clamp(denom, min=eps) \n            median = weighted_average(points, new_weights)\n\n            objective_value = geometric_median_objective(median, points, weights)\n            logs.append(objective_value)\n            if abs(prev_obj_value - objective_value) <= ftol * objective_value:\n                early_termination = True\n                break\n        \n    median = weighted_average(points, new_weights)  # for autodiff\n\n    return SimpleNamespace(\n        median=median,\n        new_weights=new_weights,\n        termination=\"function value converged within tolerance\" if early_termination else \"maximum iterations reached\",\n        logs=logs,\n    )\n\ndef weighted_average_component(points, weights):\n    ret = points[0] * weights[0]\n    for i in range(1, len(points)):\n        ret += points[i] * weights[i]\n    return ret\n\ndef weighted_average(points, weights):\n    weights = weights / weights.sum()\n    return [weighted_average_component(component, weights=weights) for component in zip(*points)]\n\n@torch.no_grad()\ndef geometric_median_objective(median, points, weights):\n    return np.average([l2distance(p, median).item() for p in points], weights=weights.cpu())\n\n@torch.no_grad()\ndef l2distance(p1, p2):\n    return torch.linalg.norm(torch.stack([torch.linalg.norm(x1 - x2) for (x1, x2) in zip(p1, p2)]))\n"
  },
  {
    "path": "sae_training/optim.py",
    "content": "'''\nTook the LR scheduler from my previous work: https://github.com/jbloomAus/DecisionTransformerInterpretability/blob/ee55df35cdb92e81d689c72fb9dd5a7252893363/src/decision_transformer/utils.py#L425\n'''\nimport math\nfrom typing import Optional\n\nimport torch.optim as optim\nimport torch.optim.lr_scheduler as lr_scheduler\n\n\n#  None\n#  Linear Warmup and decay\n#  Cosine Annealing with Warmup\n#  Cosine Annealing with Warmup / Restarts\ndef get_scheduler(\n    scheduler_name: Optional[str], optimizer: optim.Optimizer, **kwargs\n):\n    \"\"\"\n    Loosely based on this, seemed simpler write this than import\n    transformers: https://huggingface.co/docs/transformers/main_classes/optimizer_schedules\n\n    Args:\n        scheduler_name (Optional[str]): Name of the scheduler to use. If None, returns a constant scheduler\n        optimizer (optim.Optimizer): Optimizer to use\n        **kwargs: Additional arguments to pass to the scheduler including warm_up_steps,\n            training_steps, num_cycles, lr_end.\n    \"\"\"\n\n    def get_warmup_lambda(warm_up_steps, training_steps):\n        def lr_lambda(steps):\n            if steps < warm_up_steps:\n                return (steps + 1) / warm_up_steps\n            else:\n                return (training_steps - steps) / (\n                    training_steps - warm_up_steps\n                )\n\n        return lr_lambda\n\n    # heavily derived from hugging face although copilot helped.\n    def get_warmup_cosine_lambda(warm_up_steps, training_steps, lr_end):\n        def lr_lambda(steps):\n            if steps < warm_up_steps:\n                return (steps + 1) / warm_up_steps\n            else:\n                progress = (steps - warm_up_steps) / (\n                    training_steps - warm_up_steps\n                )\n                return lr_end + 0.5 * (1 - lr_end) * (\n                    1 + math.cos(math.pi * progress)\n                )\n\n        return lr_lambda\n    \n    if scheduler_name is None or scheduler_name.lower() == \"constant\":\n        return lr_scheduler.LambdaLR(optimizer, lr_lambda=lambda steps: 1.0)\n    elif scheduler_name.lower() == \"constantwithwarmup\":\n        warm_up_steps = kwargs.get(\"warm_up_steps\", 0)\n        return lr_scheduler.LambdaLR(\n            optimizer,\n            lr_lambda=lambda steps: min(1.0, (steps + 1) / warm_up_steps),\n        )\n    elif scheduler_name.lower() == \"linearwarmupdecay\":\n        warm_up_steps = kwargs.get(\"warm_up_steps\", 0)\n        training_steps = kwargs.get(\"training_steps\")\n        lr_lambda = get_warmup_lambda(warm_up_steps, training_steps)\n        return lr_scheduler.LambdaLR(optimizer, lr_lambda)\n    elif scheduler_name.lower() == \"cosineannealing\":\n        training_steps = kwargs.get(\"training_steps\")\n        eta_min = kwargs.get(\"lr_end\", 0)\n        return lr_scheduler.CosineAnnealingLR(\n            optimizer, T_max=training_steps, eta_min=eta_min\n        )\n    elif scheduler_name.lower() == \"cosineannealingwarmup\":\n        warm_up_steps = kwargs.get(\"warm_up_steps\", 0)\n        training_steps = kwargs.get(\"training_steps\")\n        eta_min = kwargs.get(\"lr_end\", 0)\n        lr_lambda = get_warmup_cosine_lambda(\n            warm_up_steps, training_steps, eta_min\n        )\n        return lr_scheduler.LambdaLR(optimizer, lr_lambda)\n    elif scheduler_name.lower() == \"cosineannealingwarmrestarts\":\n        training_steps = kwargs.get(\"training_steps\")\n        eta_min = kwargs.get(\"lr_end\", 0)\n        num_cycles = kwargs.get(\"num_cycles\", 1)\n        T_0 = training_steps // num_cycles\n        return lr_scheduler.CosineAnnealingWarmRestarts(\n            optimizer, T_0=T_0, eta_min=eta_min\n        )\n    else:\n        raise ValueError(f\"Unsupported scheduler: {scheduler_name}\")"
  },
  {
    "path": "sae_training/requirements.txt",
    "content": "datasets==2.12.0\neinops==0.7.0\nipython==8.12.3\njaxtyping==0.2.28\nmatplotlib==3.7.1\nplotly==5.18.0\nsetuptools==67.7.2\ntqdm==4.65.0\ntransformer_lens==1.15.0\nwandb==0.16.0\n"
  },
  {
    "path": "sae_training/sparse_autoencoder.py",
    "content": "\n\"\"\"Most of this is just copied over from Arthur's code and slightly simplified:\nhttps://github.com/ArthurConmy/sae/blob/main/sae/model.py\n\"\"\"\n\nimport gzip\nimport os\nimport pickle\nfrom functools import partial\n\nimport einops\nimport torch\nimport torch.nn.functional as F\nfrom jaxtyping import Float\nfrom torch import Tensor, nn\nfrom torch.distributions.categorical import Categorical\nfrom tqdm import tqdm\nfrom transformer_lens.hook_points import HookedRootModule, HookPoint\n\nfrom .geom_median.src.geom_median.torch import compute_geometric_median\n\n\nclass SparseAutoencoder(HookedRootModule):\n    \"\"\"\n    \n    \"\"\"\n    def __init__(\n        self,\n        cfg,\n    ):\n        super().__init__()\n        self.cfg = cfg\n        self.d_in = cfg.d_in\n        if not isinstance(self.d_in, int):\n            raise ValueError(\n                f\"d_in must be an int but was {self.d_in=}; {type(self.d_in)=}\"\n            )\n        self.d_sae = cfg.d_sae\n        self.l1_coefficient = cfg.l1_coefficient\n        self.dtype = cfg.dtype\n        self.device = cfg.device\n\n        # transcoder stuff\n        self.d_out = self.d_in\n        if cfg.is_transcoder and cfg.d_out is not None:\n            self.d_out = cfg.d_out\n\n        # sparse-connection transcoder stuff\n        self.spacon_sae_W_dec = None\n        if cfg.is_sparse_connection:\n            # load in the sae decoder weights that we'll use to train sparse connections\n            sparse_connection_sae_path = cfg.sparse_connection_sae_path\n            \n            if sparse_connection_sae_path.endswith(\".pt\"):\n                state_dict = torch.load(sparse_connection_sae_path)\n            elif sparse_connection_sae_path.endswith(\".pkl.gz\"):\n                with gzip.open(sparse_connection_sae_path, 'rb') as f:\n                    state_dict = pickle.load(f)\n            elif sparse_connection_sae_path.endswith(\".pkl\"):\n                with open(sparse_connection_sae_path, 'rb') as f:\n                    state_dict = pickle.load(f)\n            else:\n                raise ValueError(f\"Unexpected file extension: {sparse_connection_sae_path}, supported extensions are .pt, .pkl, and .pkl.gz\")\n\n            self.spacon_sae_W_dec = state_dict['state_dict']['W_dec'].cuda() if not cfg.sparse_connection_use_W_enc else state_dict['state_dict']['W_enc'].cuda().T\n            del state_dict\n            torch.cuda.empty_cache()\n\n        # NOTE: if using resampling neurons method, you must ensure that we initialise the weights in the order W_enc, b_enc, W_dec, b_dec\n        self.W_enc = nn.Parameter(\n            torch.nn.init.kaiming_uniform_(\n                torch.empty(self.d_in, self.d_sae, dtype=self.dtype, device=self.device)\n            )   \n        )\n        self.b_enc = nn.Parameter(\n            torch.zeros(self.d_sae, dtype=self.dtype, device=self.device)\n        )\n\n        self.W_dec = nn.Parameter(\n            torch.nn.init.kaiming_uniform_(\n                torch.empty(self.d_sae, self.d_out, dtype=self.dtype, device=self.device)\n            )\n        )\n\n        with torch.no_grad():\n            # Anthropic normalize this to have unit columns\n            self.W_dec.data /= torch.norm(self.W_dec.data, dim=1, keepdim=True)\n\n        self.b_dec = nn.Parameter(\n            torch.zeros(self.d_in, dtype=self.dtype, device=self.device)\n        )\n\n        self.b_dec_out = None\n        if cfg.is_transcoder:\n            self.b_dec_out = nn.Parameter(\n                torch.zeros(self.d_out, dtype=self.dtype, device=self.device)\n            )\n\n\n        self.hook_sae_in = HookPoint()\n        self.hook_hidden_pre = HookPoint()\n        self.hook_hidden_post = HookPoint()\n        self.hook_sae_out = HookPoint()\n\n        self.setup()  # Required for `HookedRootModule`s\n\n    def forward(self, x, dead_neuron_mask = None, mse_target=None):\n        # move x to correct dtype\n        x = x.to(self.dtype)\n        sae_in = self.hook_sae_in(\n            x - self.b_dec\n        )  # Remove encoder bias as per Anthropic\n\n        hidden_pre = self.hook_hidden_pre(\n            einops.einsum(\n                sae_in,\n                self.W_enc,\n                \"... d_in, d_in d_sae -> ... d_sae\",\n            )\n            + self.b_enc\n        )\n        feature_acts = self.hook_hidden_post(torch.nn.functional.relu(hidden_pre))\n\n        if self.cfg.is_transcoder:\n            # dumb if statement to deal with transcoders\n            # hopefully branch prediction takes care of this\n            sae_out = self.hook_sae_out(\n                einops.einsum(\n                    feature_acts,\n                    self.W_dec,\n                    \"... d_sae, d_sae d_out -> ... d_out\",\n                )\n                + self.b_dec_out\n            )\n        else:\n            sae_out = self.hook_sae_out(\n                einops.einsum(\n                    feature_acts,\n                    self.W_dec,\n                    \"... d_sae, d_sae d_out -> ... d_out\",\n                )\n                + self.b_dec\n            )\n        \n        # add config for whether l2 is normalized:\n        if mse_target is None:\n            mse_loss = (torch.pow((sae_out-x.float()), 2) / (x**2).sum(dim=-1, keepdim=True).sqrt())\n        else:\n            mse_loss = (torch.pow((sae_out-mse_target.float()), 2) / (mse_target**2).sum(dim=-1, keepdim=True).sqrt())\n        mse_loss_ghost_resid = torch.tensor(0.0, dtype=self.dtype, device=self.device)\n        # gate on config and training so evals is not slowed down.\n        if self.cfg.use_ghost_grads and self.training and dead_neuron_mask.sum() > 0:\n            assert dead_neuron_mask is not None \n            \n            # ghost protocol\n            \n            # 1.\n            residual = x - sae_out\n            l2_norm_residual = torch.norm(residual, dim=-1)\n            \n            # 2.\n            feature_acts_dead_neurons_only = torch.exp(hidden_pre[:, dead_neuron_mask])\n            ghost_out =  feature_acts_dead_neurons_only @ self.W_dec[dead_neuron_mask,:]\n            l2_norm_ghost_out = torch.norm(ghost_out, dim = -1)\n            norm_scaling_factor = l2_norm_residual / (1e-6+ l2_norm_ghost_out* 2)\n            ghost_out = ghost_out*norm_scaling_factor[:, None].detach()\n            \n            # 3. \n            mse_loss_ghost_resid = (\n                torch.pow((ghost_out - residual.detach().float()), 2) / (residual.detach()**2).sum(dim=-1, keepdim=True).sqrt()\n            )\n            mse_rescaling_factor = (mse_loss / (mse_loss_ghost_resid + 1e-6)).detach()\n            mse_loss_ghost_resid = mse_rescaling_factor * mse_loss_ghost_resid\n\n        mse_loss_ghost_resid = mse_loss_ghost_resid.mean()\n        mse_loss = mse_loss.mean()\n        sparsity = torch.abs(feature_acts).sum(dim=1).mean(dim=(0,)) \n        l1_loss = self.l1_coefficient * sparsity\n        loss = mse_loss + l1_loss + mse_loss_ghost_resid\n\n        return sae_out, feature_acts, loss, mse_loss, l1_loss, mse_loss_ghost_resid\n\n    def get_sparse_connection_loss(self):\n        dots = self.spacon_sae_W_dec @ self.W_dec.T\n        # each row is an sae feature, each column is a transcoder feature\n        loss = torch.sum(dots.abs(), dim=1).mean() # mean over each sae feature of L1 of transcoder features activated\n        return self.cfg.sparse_connection_l1_coeff * loss\n\n    @torch.no_grad()\n    def initialize_b_dec(self, activation_store):\n        \n        if self.cfg.b_dec_init_method == \"geometric_median\":\n            self.initialize_b_dec_with_geometric_median(activation_store)\n        elif self.cfg.b_dec_init_method == \"mean\":\n            self.initialize_b_dec_with_mean(activation_store)\n        elif self.cfg.b_dec_init_method == \"zeros\":\n            pass\n        else:\n            raise ValueError(f\"Unexpected b_dec_init_method: {self.cfg.b_dec_init_method}\")\n\n    @torch.no_grad()\n    def initialize_b_dec_with_geometric_median(self, activation_store):\n        assert(self.cfg.is_transcoder == activation_store.cfg.is_transcoder)\n\n        previous_b_dec = self.b_dec.clone().cpu()\n        all_activations = activation_store.storage_buffer.detach().cpu()\n        out = compute_geometric_median(\n            all_activations,\n            skip_typechecks=True, \n            maxiter=100, per_component=False\n        ).median\n        \n        \n        previous_distances = torch.norm(all_activations - previous_b_dec, dim=-1)\n        distances = torch.norm(all_activations - out, dim=-1)\n        \n        print(\"Reinitializing b_dec with geometric median of activations\")\n        print(f\"Previous distances: {previous_distances.median(0).values.mean().item()}\")\n        print(f\"New distances: {distances.median(0).values.mean().item()}\")\n        \n        out = torch.tensor(out, dtype=self.dtype, device=self.device)\n        self.b_dec.data = out\n\n        if self.b_dec_out is not None:\n            # stupid code duplication\n            previous_b_dec_out = self.b_dec_out.clone().cpu()\n            all_activations_out = activation_store.storage_buffer_out.detach().cpu()\n            out_out = compute_geometric_median(\n                all_activations_out,\n                skip_typechecks=True, \n                maxiter=100, per_component=False\n            ).median\n            \n            previous_distances_out = torch.norm(all_activations_out - previous_b_dec_out, dim=-1)\n            distances_out = torch.norm(all_activations_out - out_out, dim=-1)\n            \n            print(\"Reinitializing b_dec with geometric median of activations\")\n            print(f\"Previous distances: {previous_distances_out.median(0).values.mean().item()}\")\n            print(f\"New distances: {distances_out.median(0).values.mean().item()}\")\n            \n            out_out = torch.tensor(out_out, dtype=self.dtype, device=self.device)\n            self.b_dec_out.data = out_out\n        \n    @torch.no_grad()\n    def initialize_b_dec_with_mean(self, activation_store):\n        assert(self.cfg.is_transcoder == activation_store.cfg.is_transcoder)\n        \n        previous_b_dec = self.b_dec.clone().cpu()\n        all_activations = activation_store.storage_buffer.detach().cpu()\n        out = all_activations.mean(dim=0)\n        \n        previous_distances = torch.norm(all_activations - previous_b_dec, dim=-1)\n        distances = torch.norm(all_activations - out, dim=-1)\n        \n        print(\"Reinitializing b_dec with mean of activations\")\n        print(f\"Previous distances: {previous_distances.median(0).values.mean().item()}\")\n        print(f\"New distances: {distances.median(0).values.mean().item()}\")\n        \n        self.b_dec.data = out.to(self.dtype).to(self.device)\n\n        if self.b_dec_out is not None:\n            # stupid code duplication        \n            previous_b_dec_out = self.b_dec_out.clone().cpu()\n            all_activations_out = activation_store.storage_buffer_out.detach().cpu()\n            out_out = all_activations_out.mean(dim=0)\n            \n            previous_distances_out = torch.norm(all_activations_out - previous_b_dec_out, dim=-1)\n            distances_out = torch.norm(all_activations_out - out_out, dim=-1)\n            \n            print(\"Reinitializing b_dec with mean of activations\")\n            print(f\"Previous distances: {previous_distances_out.median(0).values.mean().item()}\")\n            print(f\"New distances: {distances_out.median(0).values.mean().item()}\")\n            \n            self.b_dec_out.data = out_out.to(self.dtype).to(self.device)\n        \n\n    @torch.no_grad()\n    def resample_neurons_l2(\n        self,\n        x: Float[Tensor, \"batch_size n_hidden\"],\n        feature_sparsity: Float[Tensor, \"n_hidden_ae\"],\n        optimizer: torch.optim.Optimizer,\n    ) -> None:\n        '''\n        Resamples neurons that have been dead for `dead_neuron_window` steps, according to `frac_active`.\n        \n        I'll probably break this now and fix it later!\n        '''\n        \n        feature_reinit_scale = self.cfg.feature_reinit_scale\n        \n        sae_out, _, _, _, _ = self.forward(x)\n        per_token_l2_loss = (sae_out - x).pow(2).sum(dim=-1).squeeze()\n\n        # Find the dead neurons in this instance. If all neurons are alive, continue\n        is_dead = (feature_sparsity < self.cfg.dead_feature_threshold)\n        dead_neurons = torch.nonzero(is_dead).squeeze(-1)\n        alive_neurons = torch.nonzero(~is_dead).squeeze(-1)\n        n_dead = dead_neurons.numel()\n        \n        if n_dead == 0:\n            return 0 # If there are no dead neurons, we don't need to resample neurons\n        \n        # Compute L2 loss for each element in the batch\n        # TODO: Check whether we need to go through more batches as features get sparse to find high l2 loss examples. \n        if per_token_l2_loss.max() < 1e-6:\n            return 0 # If we have zero reconstruction loss, we don't need to resample neurons\n        \n        # Draw `n_hidden_ae` samples from [0, 1, ..., batch_size-1], with probabilities proportional to l2_loss squared\n        per_token_l2_loss = per_token_l2_loss.to(torch.float32) # wont' work with bfloat16\n        distn = Categorical(probs = per_token_l2_loss.pow(2) / (per_token_l2_loss.pow(2).sum()))\n        replacement_indices = distn.sample((n_dead,)) # shape [n_dead]\n\n        # Index into the batch of hidden activations to get our replacement values\n        replacement_values = (x - self.b_dec)[replacement_indices] # shape [n_dead n_input_ae]\n\n        # unit norm\n        replacement_values = (replacement_values / (replacement_values.norm(dim=1, keepdim=True) + 1e-8))\n\n        # St new decoder weights\n        self.W_dec.data[is_dead, :] = replacement_values\n\n        # Get the norm of alive neurons (or 1.0 if there are no alive neurons)\n        W_enc_norm_alive_mean = 1.0 if len(alive_neurons) == 0 else self.W_enc[:, alive_neurons].norm(dim=0).mean().item()\n        \n        # Lastly, set the new weights & biases\n        self.W_enc.data[:, is_dead] = (replacement_values * W_enc_norm_alive_mean * feature_reinit_scale).T\n        self.b_enc.data[is_dead] = 0.0\n        \n        \n        # reset the Adam Optimiser for every modified weight and bias term\n        # Reset all the Adam parameters\n        for dict_idx, (k, v) in enumerate(optimizer.state.items()):\n            for v_key in [\"exp_avg\", \"exp_avg_sq\"]:\n                if dict_idx == 0:\n                    assert k.data.shape == (self.d_in, self.d_sae)\n                    v[v_key][:, is_dead] = 0.0\n                elif dict_idx == 1:\n                    assert k.data.shape == (self.d_sae,)\n                    v[v_key][is_dead] = 0.0\n                elif dict_idx == 2:\n                    assert k.data.shape == (self.d_sae, self.d_out)\n                    v[v_key][is_dead, :] = 0.0\n                elif dict_idx == 3:\n                    assert k.data.shape == (self.d_out,)\n                else:\n                    if not self.cfg.is_transcoder:\n                        raise ValueError(f\"Unexpected dict_idx {dict_idx}\")\n                        # if we're a transcoder, then this is fine, because we also have b_dec_out\n                \n        # Check that the opt is really updated\n        for dict_idx, (k, v) in enumerate(optimizer.state.items()):\n            for v_key in [\"exp_avg\", \"exp_avg_sq\"]:\n                if dict_idx == 0:\n                    if k.data.shape != (self.d_in, self.d_sae):\n                        print(\n                            \"Warning: it does not seem as if resetting the Adam parameters worked, there are shapes mismatches\"\n                        )\n                    if v[v_key][:, is_dead].abs().max().item() > 1e-6:\n                        print(\n                            \"Warning: it does not seem as if resetting the Adam parameters worked\"\n                        )\n        \n        return n_dead\n\n    @torch.no_grad()\n    def resample_neurons_anthropic(\n        self, \n        dead_neuron_indices, \n        model,\n        optimizer, \n        activation_store):\n        \"\"\"\n        Arthur's version of Anthropic's feature resampling\n        procedure.\n        \"\"\"\n        # collect global loss increases, and input activations\n        global_loss_increases, global_input_activations = self.collect_anthropic_resampling_losses(\n            model, activation_store\n        )\n\n        # sample according to losses\n        probs = global_loss_increases / global_loss_increases.sum()\n        sample_indices = torch.multinomial(\n            probs,\n            min(len(dead_neuron_indices), probs.shape[0]),\n            replacement=False,\n        )\n        # if we don't have enough samples for for all the dead neurons, take the first n\n        if sample_indices.shape[0] < len(dead_neuron_indices):\n            dead_neuron_indices = dead_neuron_indices[:sample_indices.shape[0]]\n\n        # Replace W_dec with normalized differences in activations\n        self.W_dec.data[dead_neuron_indices, :] = (\n            (\n                global_input_activations[sample_indices]\n                / torch.norm(global_input_activations[sample_indices], dim=1, keepdim=True)\n            )\n            .to(self.dtype)\n            .to(self.device)\n        )\n        \n        # Lastly, set the new weights & biases\n        self.W_enc.data[:, dead_neuron_indices] = self.W_dec.data[dead_neuron_indices, :].T\n        self.b_enc.data[dead_neuron_indices] = 0.0\n        \n        # Reset the Encoder Weights\n        if dead_neuron_indices.shape[0] < self.d_sae:\n            sum_of_all_norms = torch.norm(self.W_enc.data, dim=0).sum()\n            sum_of_all_norms -= len(dead_neuron_indices)\n            average_norm = sum_of_all_norms / (self.d_sae - len(dead_neuron_indices))\n            self.W_enc.data[:, dead_neuron_indices] *= self.cfg.feature_reinit_scale * average_norm\n\n            # Set biases to resampled value\n            relevant_biases = self.b_enc.data[dead_neuron_indices].mean()\n            self.b_enc.data[dead_neuron_indices] = relevant_biases * 0 # bias resample factor (put in config?)\n\n        else:\n            self.W_enc.data[:, dead_neuron_indices] *= self.cfg.feature_reinit_scale\n            self.b_enc.data[dead_neuron_indices] = -5.0\n        \n        # TODO: Refactor this resetting to be outside of resampling.\n        # reset the Adam Optimiser for every modified weight and bias term\n        # Reset all the Adam parameters\n        for dict_idx, (k, v) in enumerate(optimizer.state.items()):\n            for v_key in [\"exp_avg\", \"exp_avg_sq\"]:\n                if dict_idx == 0:\n                    assert k.data.shape == (self.d_in, self.d_sae)\n                    v[v_key][:, dead_neuron_indices] = 0.0\n                elif dict_idx == 1:\n                    assert k.data.shape == (self.d_sae,)\n                    v[v_key][dead_neuron_indices] = 0.0\n                elif dict_idx == 2:\n                    assert k.data.shape == (self.d_sae, self.d_out)\n                    v[v_key][dead_neuron_indices, :] = 0.0\n                elif dict_idx == 3:\n                    assert k.data.shape == (self.d_out,)\n                else:\n                    if not self.cfg.is_transcoder:\n                        raise ValueError(f\"Unexpected dict_idx {dict_idx}\")\n                        # if we're a transcoder, then this is fine, because we also have b_dec_out\n                \n        # Check that the opt is really updated\n        for dict_idx, (k, v) in enumerate(optimizer.state.items()):\n            for v_key in [\"exp_avg\", \"exp_avg_sq\"]:\n                if dict_idx == 0:\n                    if k.data.shape != (self.d_in, self.d_sae):\n                        print(\n                            \"Warning: it does not seem as if resetting the Adam parameters worked, there are shapes mismatches\"\n                        )\n                    if v[v_key][:, dead_neuron_indices].abs().max().item() > 1e-6:\n                        print(\n                            \"Warning: it does not seem as if resetting the Adam parameters worked\"\n                        )\n        \n        return \n\n    @torch.no_grad()\n    def collect_anthropic_resampling_losses(self, model, activation_store):\n        \"\"\"\n        Collects the losses for resampling neurons (anthropic)\n        \"\"\"\n        \n        batch_size = self.cfg.store_batch_size\n        \n        # we're going to collect this many forward passes\n        number_final_activations = self.cfg.resample_batches * batch_size\n        # but have seq len number of tokens in each\n        number_activations_total = number_final_activations * self.cfg.context_size\n        anthropic_iterator = range(0, number_final_activations, batch_size)\n        anthropic_iterator = tqdm(anthropic_iterator, desc=\"Collecting losses for resampling...\")\n        \n        global_loss_increases = torch.zeros((number_final_activations,), dtype=self.dtype, device=self.device)\n        global_input_activations = torch.zeros((number_final_activations, self.d_in), dtype=self.dtype, device=self.device)\n\n        for refill_idx in anthropic_iterator:\n            \n            # get a batch, calculate loss with/without using SAE reconstruction.\n            batch_tokens = activation_store.get_batch_tokens()\n            ce_loss_with_recons = self.get_test_loss(batch_tokens, model)\n            ce_loss_without_recons, normal_activations_cache = model.run_with_cache(\n                batch_tokens,\n                names_filter=self.cfg.hook_point,\n                return_type = \"loss\",\n                loss_per_token = True,\n            )\n            # ce_loss_without_recons = model.loss_fn(normal_logits, batch_tokens, True)\n            # del normal_logits\n            \n            normal_activations = normal_activations_cache[self.cfg.hook_point]\n            if self.cfg.hook_point_head_index is not None:\n                normal_activations = normal_activations[:,:,self.cfg.hook_point_head_index]\n\n            # calculate the difference in loss\n            changes_in_loss = ce_loss_with_recons - ce_loss_without_recons\n            changes_in_loss = changes_in_loss.cpu()\n            \n            # sample from the loss differences\n            probs = F.relu(changes_in_loss) / F.relu(changes_in_loss).sum(dim=1, keepdim=True)\n            changes_in_loss_dist = Categorical(probs)\n            samples = changes_in_loss_dist.sample()\n            \n            assert samples.shape == (batch_size,), f\"{samples.shape=}; {self.cfg.store_batch_size=}\"\n            \n            end_idx = refill_idx + batch_size\n            global_loss_increases[refill_idx:end_idx] = changes_in_loss[torch.arange(batch_size), samples]\n            global_input_activations[refill_idx:end_idx] = normal_activations[torch.arange(batch_size), samples]\n        \n        return global_loss_increases, global_input_activations\n    \n    @torch.no_grad()\n    def get_test_loss(self, batch_tokens, model):\n        \"\"\"\n        A method for running the model with the SAE activations in order to return the loss.\n        returns per token loss when activations are substituted in.\n        \"\"\"\n\n        if not self.cfg.is_transcoder:\n            head_index = self.cfg.hook_point_head_index\n            \n            def standard_replacement_hook(activations, hook):\n                activations = self.forward(activations)[0].to(activations.dtype)\n                return activations\n            \n            def head_replacement_hook(activations, hook):\n                new_actions = self.forward(activations[:,:,head_index])[0].to(activations.dtype)\n                activations[:,:,head_index] = new_actions\n                return activations\n    \n            replacement_hook = standard_replacement_hook if head_index is None else head_replacement_hook\n            \n            ce_loss_with_recons = model.run_with_hooks(\n                batch_tokens,\n                return_type=\"loss\",\n                fwd_hooks=[(self.cfg.hook_point, replacement_hook)],\n            )\n        else:\n            # TODO: currently, this only works with MLP transcoders\n            assert(\"mlp\" in self.cfg.out_hook_point)\n            \n            old_mlp = model.blocks[self.cfg.hook_point_layer]\n            class TranscoderWrapper(torch.nn.Module):\n                def __init__(self, transcoder):\n                    super().__init__()\n                    self.transcoder = transcoder\n                def forward(self, x):\n                    return self.transcoder(x)[0]\n            model.blocks[self.cfg.hook_point_layer].mlp = TranscoderWrapper(self)\n            ce_loss_with_recons = model.run_with_hooks(\n                batch_tokens,\n                return_type=\"loss\"\n            )\n            model.blocks[self.cfg.hook_point_layer] = old_mlp\n        \n        return ce_loss_with_recons\n        \n\n    @torch.no_grad()\n    def set_decoder_norm_to_unit_norm(self):\n        self.W_dec.data /= torch.norm(self.W_dec.data, dim=1, keepdim=True)\n        \n    @torch.no_grad()\n    def remove_gradient_parallel_to_decoder_directions(self):\n        '''\n        Update grads so that they remove the parallel component\n            (d_sae, d_in) shape\n        '''\n        \n        parallel_component = einops.einsum(\n            self.W_dec.grad,\n            self.W_dec.data,\n            \"d_sae d_out, d_sae d_out -> d_sae\",\n        )\n        \n        self.W_dec.grad -= einops.einsum(\n            parallel_component,\n            self.W_dec.data,\n            \"d_sae, d_sae d_out -> d_sae d_out\",\n        )\n    \n    def save_model(self, path: str):\n        '''\n        Basic save function for the model. Saves the model's state_dict and the config used to train it.\n        '''\n        \n        # check if path exists\n        folder = os.path.dirname(path)\n        os.makedirs(folder, exist_ok=True)\n        \n        state_dict = {\n            \"cfg\": self.cfg,\n            \"state_dict\": self.state_dict()\n        }\n        \n        if path.endswith(\".pt\"):\n            torch.save(state_dict, path)\n        elif path.endswith(\"pkl.gz\"):\n            with gzip.open(path, \"wb\") as f:\n                pickle.dump(state_dict, f)\n        else:\n            raise ValueError(f\"Unexpected file extension: {path}, supported extensions are .pt and .pkl.gz\")\n        \n        \n        print(f\"Saved model to {path}\")\n    \n    @classmethod\n    def load_from_pretrained(cls, path: str):\n        '''\n        Load function for the model. Loads the model's state_dict and the config used to train it.\n        This method can be called directly on the class, without needing an instance.\n        '''\n\n        # Ensure the file exists\n        if not os.path.isfile(path):\n            raise FileNotFoundError(f\"No file found at specified path: {path}\")\n\n        # Load the state dictionary\n        if path.endswith(\".pt\"):\n            try:\n                if torch.backends.mps.is_available():\n                    state_dict = torch.load(path, map_location=\"mps\")\n                    state_dict[\"cfg\"].device = \"mps\"\n                else:\n                    state_dict = torch.load(path)\n            except Exception as e:\n                raise IOError(f\"Error loading the state dictionary from .pt file: {e}\")\n            \n        elif path.endswith(\".pkl.gz\"):\n            try:\n                with gzip.open(path, 'rb') as f:\n                    state_dict = pickle.load(f)\n            except Exception as e:\n                raise IOError(f\"Error loading the state dictionary from .pkl.gz file: {e}\")\n        elif path.endswith(\".pkl\"):\n            try:\n                with open(path, 'rb') as f:\n                    state_dict = pickle.load(f)\n            except Exception as e:\n                raise IOError(f\"Error loading the state dictionary from .pkl file: {e}\")\n        else:\n            raise ValueError(f\"Unexpected file extension: {path}, supported extensions are .pt, .pkl, and .pkl.gz\")\n\n        # Ensure the loaded state contains both 'cfg' and 'state_dict'\n        if 'cfg' not in state_dict or 'state_dict' not in state_dict:\n            raise ValueError(\"The loaded state dictionary must contain 'cfg' and 'state_dict' keys\")\n\n        # Create an instance of the class using the loaded configuration\n        instance = cls(cfg=state_dict[\"cfg\"])\n        instance.load_state_dict(state_dict[\"state_dict\"])\n\n        return instance\n\n    def get_name(self):\n        sae_name = f\"sparse_autoencoder_{self.cfg.model_name}_{self.cfg.hook_point}_{self.cfg.d_sae}\"\n        return sae_name"
  },
  {
    "path": "sae_training/train_sae_on_language_model.py",
    "content": "from functools import partial\n\nimport numpy as np\nimport torch\nfrom torch.optim import Adam\nfrom tqdm import tqdm\nfrom transformer_lens import HookedTransformer\nfrom transformer_lens.utils import get_act_name\n\nimport wandb\nfrom sae_training.activations_store import ActivationsStore\nfrom sae_training.optim import get_scheduler\nfrom sae_training.sparse_autoencoder import SparseAutoencoder\n\n\ndef train_sae_on_language_model(\n    model: HookedTransformer,\n    sparse_autoencoder: SparseAutoencoder,\n    activation_store: ActivationsStore,\n    batch_size: int = 1024,\n    n_checkpoints: int = 0,\n    feature_sampling_method: str = \"l2\",  # None, l2, or anthropic\n    feature_sampling_window: int = 1000,  # how many training steps between resampling the features / considiring neurons dead\n    feature_reinit_scale: float = 0.2,  # how much to scale the resampled features by\n    dead_feature_threshold: float = 1e-8,  # how infrequently a feature has to be active to be considered dead\n    dead_feature_window: int = 2000,  # how many training steps before a feature is considered dead\n    use_wandb: bool = False,\n    wandb_log_frequency: int = 50,\n):\n\n    if feature_sampling_method is not None:\n        feature_sampling_method = feature_sampling_method.lower()\n\n    total_training_tokens = sparse_autoencoder.cfg.total_training_tokens\n    total_training_steps = total_training_tokens // batch_size\n    n_training_steps = 0\n    n_training_tokens = 0\n    n_resampled_neurons = 0\n    steps_before_reset = 0\n    if n_checkpoints > 0:\n        checkpoint_thresholds = list(range(0, total_training_tokens, total_training_tokens // (n_checkpoints+1)))[1:]\n    \n    # track active features\n    act_freq_scores = torch.zeros(sparse_autoencoder.cfg.d_sae, device=sparse_autoencoder.cfg.device)\n    n_forward_passes_since_fired = torch.zeros(sparse_autoencoder.cfg.d_sae, device=sparse_autoencoder.cfg.device)\n    n_frac_active_tokens = 0\n    \n    optimizer = Adam(sparse_autoencoder.parameters(),\n                     lr = sparse_autoencoder.cfg.lr)\n    scheduler = get_scheduler(\n        sparse_autoencoder.cfg.lr_scheduler_name,\n        optimizer=optimizer,\n        warm_up_steps = sparse_autoencoder.cfg.lr_warm_up_steps, \n        training_steps=total_training_steps,\n        lr_end=sparse_autoencoder.cfg.lr / 10, # heuristic for now. \n    )\n    sparse_autoencoder.initialize_b_dec(activation_store)\n    sparse_autoencoder.train()\n    \n\n    if sparse_autoencoder.cfg.use_tqdm:\n        pbar = tqdm(total=total_training_tokens, desc=\"Training SAE\")\n    while n_training_tokens < total_training_tokens:\n        # Do a training step.\n        sparse_autoencoder.train()\n        # Make sure the W_dec is still zero-norm\n        sparse_autoencoder.set_decoder_norm_to_unit_norm()\n\n\n        if (feature_sampling_method==\"anthropic\") and ((n_training_steps + 1) % dead_feature_window == 0):\n            \n            feature_sparsity = act_freq_scores / n_frac_active_tokens\n            \n            # if reset criterion is frequency in window, then then use that to generate indices.\n            if sparse_autoencoder.cfg.dead_feature_estimation_method == \"no_fire\":\n                dead_neuron_indices = (act_freq_scores == 0).nonzero(as_tuple=False)[:, 0]\n            elif sparse_autoencoder.cfg.dead_feature_estimation_method == \"frequency\":\n                dead_neuron_indices = (feature_sparsity < sparse_autoencoder.cfg.dead_feature_threshold).nonzero(as_tuple=False)[:, 0]\n            \n            if len(dead_neuron_indices) > 0:\n                \n                if len(dead_neuron_indices) > sparse_autoencoder.cfg.resample_batches * sparse_autoencoder.cfg.store_batch_size:\n                    print(\"Warning: more dead neurons than number of tokens. Consider sampling more tokens when resampling.\")\n                \n                sparse_autoencoder.resample_neurons_anthropic(\n                    dead_neuron_indices, \n                    model,\n                    optimizer, \n                    activation_store\n                )\n\n                if use_wandb:\n                    n_resampled_neurons = min(len(dead_neuron_indices), sparse_autoencoder.cfg.store_batch_size * sparse_autoencoder.cfg.resample_batches)\n                    wandb.log(\n                        {\n                            \"metrics/n_resampled_neurons\": n_resampled_neurons,\n                        },\n                        step=n_training_steps,\n                    )\n                \n                # for now, we'll hardcode this.\n                current_lr = scheduler.get_last_lr()[0]\n                reduced_lr = current_lr / 10_000\n                increment = (current_lr - reduced_lr) / 10_000\n                optimizer.param_groups[0]['lr'] = reduced_lr\n                steps_before_reset = 10_000\n            else:\n                print(\"No dead neurons, skipping resampling\")\n            \n        # Resample dead neurons\n        if (feature_sampling_method == \"l2\") and ((n_training_steps + 1) % dead_feature_window == 0):\n            print(\"no l2 resampling currently. Please use anthropic resampling\")\n            \n        # after resampling, reset the sparsity:\n        if (n_training_steps + 1) % feature_sampling_window == 0:\n            feature_sparsity = act_freq_scores / n_frac_active_tokens\n            log_feature_sparsity = torch.log10(feature_sparsity + 1e-10).detach().cpu()\n\n            if use_wandb:\n                wandb_histogram = wandb.Histogram(log_feature_sparsity.numpy())\n                wandb.log(\n                    {   \n                        \"metrics/mean_log10_feature_sparsity\": log_feature_sparsity.mean().item(),\n                        \"plots/feature_density_line_chart\": wandb_histogram,\n                    },\n                    step=n_training_steps,\n                )\n            \n            act_freq_scores = torch.zeros(sparse_autoencoder.cfg.d_sae, device=sparse_autoencoder.cfg.device)\n            n_frac_active_tokens = 0\n\n\n\n        if (steps_before_reset > 0) and n_training_steps > 0:\n            steps_before_reset -= 1\n            optimizer.param_groups[0]['lr'] += increment\n            if steps_before_reset == 0:\n                optimizer.param_groups[0]['lr'] = current_lr\n        else:\n            scheduler.step()\n    \n        optimizer.zero_grad()\n        \n        ghost_grad_neuron_mask = (n_forward_passes_since_fired > sparse_autoencoder.cfg.dead_feature_window).bool()\n        next_batch = activation_store.next_batch()\n\n        assert(sparse_autoencoder.cfg.is_transcoder == activation_store.cfg.is_transcoder)\n        if not sparse_autoencoder.cfg.is_transcoder:\n            sae_in = next_batch\n            # Forward and Backward Passes\n            sae_out, feature_acts, loss, mse_loss, l1_loss, ghost_grad_loss = sparse_autoencoder(\n                sae_in,\n                ghost_grad_neuron_mask,\n                mse_target=sae_in\n            )\n        else:\n            sae_in = next_batch[:, :sparse_autoencoder.cfg.d_in]\n            mlp_out = next_batch[:, sparse_autoencoder.cfg.d_in:]\n            sae_out, feature_acts, loss, mse_loss, l1_loss, ghost_grad_loss = sparse_autoencoder(\n                sae_in,\n                ghost_grad_neuron_mask,\n                mse_target=mlp_out\n            )\n\n        spacon_loss = 0\n        if sparse_autoencoder.cfg.is_sparse_connection:\n            spacon_loss = sparse_autoencoder.get_sparse_connection_loss()\n            loss = loss + spacon_loss\n\n        did_fire = ((feature_acts > 0).float().sum(-2) > 0)\n        n_forward_passes_since_fired += 1\n        n_forward_passes_since_fired[did_fire] = 0\n        \n        n_training_tokens += batch_size\n\n        with torch.no_grad():\n            # Calculate the sparsities, and add it to a list, calculate sparsity metrics\n            act_freq_scores += (feature_acts.abs() > 0).float().sum(0)\n            n_frac_active_tokens += batch_size\n            feature_sparsity = act_freq_scores / n_frac_active_tokens\n\n            if use_wandb and ((n_training_steps + 1) % wandb_log_frequency == 0):\n                # metrics for currents acts\n                l0 = (feature_acts > 0).float().sum(-1).mean()\n                current_learning_rate = optimizer.param_groups[0][\"lr\"]\n                \n                per_token_l2_loss = (sae_out - sae_in).pow(2).sum(dim=-1).squeeze()\n                total_variance = sae_in.pow(2).sum(-1)\n                explained_variance = 1 - per_token_l2_loss/total_variance\n                \n                wandb.log(\n                    {\n                        # losses\n                        \"losses/mse_loss\": mse_loss.item(),\n                        \"losses/l1_loss\": l1_loss.item() / sparse_autoencoder.l1_coefficient, # normalize by l1 coefficient\n                        \"losses/ghost_grad_loss\": ghost_grad_loss.item(),\n                        \"losses/overall_loss\": loss.item(),\n                        # variance explained\n                        \"metrics/explained_variance\": explained_variance.mean().item(),\n                        \"metrics/explained_variance_std\": explained_variance.std().item(),\n                        \"metrics/l0\": l0.item(),\n                        # sparsity\n                        \"sparsity/mean_passes_since_fired\": n_forward_passes_since_fired.mean().item(),\n                        \"sparsity/n_passes_since_fired_over_threshold\": ghost_grad_neuron_mask.sum().item(),\n                        \"sparsity/below_1e-5\": (feature_sparsity < 1e-5)\n                        .float()\n                        .mean()\n                        .item(),\n                        \"sparsity/below_1e-6\": (feature_sparsity < 1e-6)\n                        .float()\n                        .mean()\n                        .item(),\n                        \"sparsity/dead_features\": (\n                            feature_sparsity < dead_feature_threshold\n                        )\n                        .float()\n                        .mean()\n                        .item(),\n                        \"details/n_training_tokens\": n_training_tokens,\n                        \"details/current_learning_rate\": current_learning_rate,\n                    },\n                    step=n_training_steps,\n                )\n\n            # record loss frequently, but not all the time.\n            if use_wandb and ((n_training_steps + 1) % (wandb_log_frequency * 10) == 0):\n                sparse_autoencoder.eval()\n                run_evals(sparse_autoencoder, activation_store, model, n_training_steps)\n                sparse_autoencoder.train()\n\n            if sparse_autoencoder.cfg.use_tqdm:\n                if sparse_autoencoder.cfg.is_sparse_connection:\n                    pbar.set_description(\n                        f\"{n_training_steps}| MSE Loss {mse_loss.item():.3f} | L1 {l1_loss.item():.3f} | SCST {spacon_loss.item():.3f}\"\n                    )\n                else:\n                    pbar.set_description(\n                        f\"{n_training_steps}| MSE Loss {mse_loss.item():.3f} | L1 {l1_loss.item():.3f}\"\n                    )\n                pbar.update(batch_size)\n\n        loss.backward()\n        sparse_autoencoder.remove_gradient_parallel_to_decoder_directions()\n        optimizer.step()\n\n\n        # checkpoint if at checkpoint frequency\n        if n_checkpoints > 0 and n_training_tokens > checkpoint_thresholds[0]:\n            cfg = sparse_autoencoder.cfg\n            path = f\"{sparse_autoencoder.cfg.checkpoint_path}/{n_training_tokens}_{sparse_autoencoder.get_name()}.pt\"\n            log_feature_sparsity_path = f\"{sparse_autoencoder.cfg.checkpoint_path}/{n_training_tokens}_{sparse_autoencoder.get_name()}_log_feature_sparsity.pt\"\n            sparse_autoencoder.save_model(path)\n            try: log_feature_sparsity\n            except NameError:\n                feature_sparsity = act_freq_scores / n_frac_active_tokens\n                log_feature_sparsity = torch.log10(feature_sparsity + 1e-10).detach().cpu()\n            torch.save(log_feature_sparsity, log_feature_sparsity_path)\n            checkpoint_thresholds.pop(0)\n            if len(checkpoint_thresholds) == 0:\n                n_checkpoints = 0\n            if cfg.log_to_wandb:\n                model_artifact = wandb.Artifact(\n                    f\"{sparse_autoencoder.get_name()}\", type=\"model\", metadata=dict(cfg.__dict__)\n                )\n                model_artifact.add_file(path)\n                wandb.log_artifact(model_artifact)\n                \n                sparsity_artifact = wandb.Artifact(\n                    f\"{sparse_autoencoder.get_name()}_log_feature_sparsity\", type=\"log_feature_sparsity\", metadata=dict(cfg.__dict__)\n                )\n                sparsity_artifact.add_file(log_feature_sparsity_path)\n                wandb.log_artifact(sparsity_artifact)\n                \n            \n        n_training_steps += 1\n\n    path = f\"{sparse_autoencoder.cfg.checkpoint_path}/final_{sparse_autoencoder.get_name()}.pt\"\n    log_feature_sparsity_path = f\"{sparse_autoencoder.cfg.checkpoint_path}/final_{sparse_autoencoder.get_name()}_log_feature_sparsity.pt\"\n    sparse_autoencoder.save_model(path)\n    torch.save(log_feature_sparsity, log_feature_sparsity_path)\n    if cfg.log_to_wandb:\n        sparsity_artifact = wandb.Artifact(\n                f\"{sparse_autoencoder.get_name()}_log_feature_sparsity\", type=\"log_feature_sparsity\", metadata=dict(cfg.__dict__)\n            )\n        sparsity_artifact.add_file(log_feature_sparsity_path)\n        wandb.log_artifact(sparsity_artifact)\n        \n\n    return sparse_autoencoder\n\n\n@torch.no_grad()\ndef run_evals(sparse_autoencoder: SparseAutoencoder, activation_store: ActivationsStore, model: HookedTransformer, n_training_steps: int):\n    \n    hook_point = sparse_autoencoder.cfg.hook_point\n    hook_point_layer = sparse_autoencoder.cfg.hook_point_layer\n    hook_point_head_index = sparse_autoencoder.cfg.hook_point_head_index\n    \n     ### Evals\n    eval_tokens = activation_store.get_batch_tokens()\n    \n    # Get Reconstruction Score\n    recons_score, ntp_loss, recons_loss, zero_abl_loss = get_recons_loss(sparse_autoencoder, model, activation_store, eval_tokens)\n    \n    # get cache\n    _, cache = model.run_with_cache(eval_tokens, prepend_bos=False, names_filter=[get_act_name(\"pattern\", hook_point_layer), hook_point])\n    \n    # get act\n    if sparse_autoencoder.cfg.hook_point_head_index is not None:\n        original_act = cache[sparse_autoencoder.cfg.hook_point][:,:,sparse_autoencoder.cfg.hook_point_head_index]\n    else:\n        original_act = cache[sparse_autoencoder.cfg.hook_point]\n        \n    sae_out, feature_acts, _, _, _, _ = sparse_autoencoder(\n        original_act\n    )\n    patterns_original = cache[get_act_name(\"pattern\", hook_point_layer)][:,hook_point_head_index].detach().cpu()\n    del cache\n    \n    if \"cuda\" in str(model.cfg.device):\n        torch.cuda.empty_cache()\n    \n    l2_norm_in = torch.norm(original_act, dim=-1)\n    l2_norm_out = torch.norm(sae_out, dim=-1)\n    l2_norm_ratio = l2_norm_out / l2_norm_in\n    \n    wandb.log(\n        {\n\n            # l2 norms\n            \"metrics/l2_norm\": l2_norm_out.mean().item(),\n            \"metrics/l2_ratio\": l2_norm_ratio.mean().item(),\n            \n            # CE Loss\n            \"metrics/CE_loss_score\": recons_score,\n            \"metrics/ce_loss_without_sae\": ntp_loss,\n            \"metrics/ce_loss_with_sae\": recons_loss,\n            \"metrics/ce_loss_with_ablation\": zero_abl_loss,\n            \n        },\n        step=n_training_steps,\n    )\n    \n    head_index = sparse_autoencoder.cfg.hook_point_head_index\n\n    def standard_replacement_hook(activations, hook):\n        activations = sparse_autoencoder.forward(activations)[0].to(activations.dtype)\n        return activations\n\n    def head_replacement_hook(activations, hook):\n        new_actions = sparse_autoencoder.forward(activations[:,:,head_index])[0].to(activations.dtype)\n        activations[:,:,head_index] = new_actions\n        return activations\n\n    head_index = sparse_autoencoder.cfg.hook_point_head_index\n    replacement_hook = standard_replacement_hook if head_index is None else head_replacement_hook\n    \n    # get attn when using reconstructed activations\n    with model.hooks(fwd_hooks=[(hook_point, partial(replacement_hook))]):\n        _, new_cache = model.run_with_cache(eval_tokens, names_filter=[get_act_name(\"pattern\", hook_point_layer)])\n        patterns_reconstructed = new_cache[get_act_name(\"pattern\", hook_point_layer)][:,hook_point_head_index].detach().cpu()\n        del new_cache\n        \n    # get attn when using reconstructed activations\n    with model.hooks(fwd_hooks=[(hook_point, partial(zero_ablate_hook))]):\n        _, zero_ablation_cache = model.run_with_cache(eval_tokens, names_filter=[get_act_name(\"pattern\", hook_point_layer)])\n        patterns_ablation = zero_ablation_cache[get_act_name(\"pattern\", hook_point_layer)][:,hook_point_head_index].detach().cpu()\n        del zero_ablation_cache\n\n    # if dealing with a head SAE, do the head metrics.\n    if sparse_autoencoder.cfg.hook_point_head_index:\n        \n        # show patterns before/after\n        # fig_patterns_original = px.imshow(patterns_original[0].numpy(), title=\"original attn scores\",\n        #     color_continuous_midpoint=0, color_continuous_scale=\"RdBu\")\n        # fig_patterns_original.update_layout(coloraxis_showscale=False)         # hide colorbar \n        # wandb.log({\"attention/patterns_original\": wandb.Plotly(fig_patterns_original)}, step = n_training_steps)\n        # fig_patterns_reconstructed = px.imshow(patterns_reconstructed[0].numpy(), title=\"reconstructed attn scores\",\n        #         color_continuous_midpoint=0, color_continuous_scale=\"RdBu\")\n        # fig_patterns_reconstructed.update_layout(coloraxis_showscale=False)         # hide colorbar\n        # wandb.log({\"attention/patterns_reconstructed\": wandb.Plotly(fig_patterns_reconstructed)}, step = n_training_steps)\n        \n        kl_result_reconstructed = kl_divergence_attention(patterns_original, patterns_reconstructed)\n        kl_result_reconstructed = kl_result_reconstructed.sum(dim=-1).numpy()\n        # print(kl_result.mean().item())\n        # px.imshow(kl_result, title=\"KL Divergence\", width=800, height=800,\n        #       color_continuous_midpoint=0, color_continuous_scale=\"RdBu\").show()\n        # px.histogram(kl_result.flatten()).show()\n        # px.line(kl_result.mean(0), title=\"KL Divergence by Position\").show()\n        \n        kl_result_ablation = kl_divergence_attention(patterns_original, patterns_ablation)\n        kl_result_ablation = kl_result_ablation.sum(dim=-1).numpy()\n        # print(kl_result.mean().item())\n        # # px.imshow(kl_result, title=\"KL Divergence\", width=800, height=800,\n        # #       color_continuous_midpoint=0, color_continuous_scale=\"RdBu\").show()\n        # px.histogram(kl_result.flatten()).show()\n        # px.line(kl_result.mean(0), title=\"KL Divergence by Position\").show()\n    \n        wandb.log(\n            {\n\n              \"metrics/kldiv_reconstructed\": kl_result_reconstructed.mean().item(),\n              \"metrics/kldiv_ablation\": kl_result_ablation.mean().item(),\n                \n            },\n            step=n_training_steps,\n        )\n\n@torch.no_grad()\ndef get_recons_loss(sparse_autoencoder, model, activation_store, batch_tokens):\n    hook_point = activation_store.cfg.hook_point\n    loss = model(batch_tokens, return_type=\"loss\")\n\n    head_index = sparse_autoencoder.cfg.hook_point_head_index\n\n    def standard_replacement_hook(activations, hook):\n        activations = sparse_autoencoder.forward(activations)[0].to(activations.dtype)\n        return activations\n\n    def head_replacement_hook(activations, hook):\n        new_actions = sparse_autoencoder.forward(activations[:,:,head_index])[0].to(activations.dtype)\n        activations[:,:,head_index] = new_actions\n        return activations\n\n    replacement_hook = standard_replacement_hook if head_index is None else head_replacement_hook\n    recons_loss = model.run_with_hooks(\n        batch_tokens,\n        return_type=\"loss\",\n        fwd_hooks=[(hook_point, partial(replacement_hook))],\n    )\n\n    zero_abl_loss = model.run_with_hooks(\n        batch_tokens, return_type=\"loss\", fwd_hooks=[(hook_point, zero_ablate_hook)]\n    )\n\n    score = (zero_abl_loss - recons_loss) / (zero_abl_loss - loss)\n\n    return score, loss, recons_loss, zero_abl_loss\n\n\ndef mean_ablate_hook(mlp_post, hook):\n    mlp_post[:] = mlp_post.mean([0, 1]).to(mlp_post.dtype)\n    return mlp_post\n\n\ndef zero_ablate_hook(mlp_post, hook):\n    mlp_post[:] = 0.0\n    return mlp_post\n\n\ndef kl_divergence_attention(y_true, y_pred):\n\n    # Compute log probabilities for KL divergence\n    log_y_true = torch.log2(y_true + 1e-10)\n    log_y_pred = torch.log2(y_pred + 1e-10)\n\n    return y_true * (log_y_true - log_y_pred)"
  },
  {
    "path": "sae_training/utils.py",
    "content": "from typing import Tuple\n\nimport torch\nfrom transformer_lens import HookedTransformer\n\nfrom sae_training.activations_store import ActivationsStore\nfrom sae_training.config import LanguageModelSAERunnerConfig\nfrom sae_training.sparse_autoencoder import SparseAutoencoder\n\n\nclass LMSparseAutoencoderSessionloader():\n    \"\"\"\n    Responsible for loading all required\n    artifacts and files for training\n    a sparse autoencoder on a language model\n    or analysing a pretraining autoencoder\n    \"\"\"\n\n    def __init__(self, cfg: LanguageModelSAERunnerConfig):\n        self.cfg = cfg\n        \n        \n    def load_session(self) -> Tuple[HookedTransformer, SparseAutoencoder, ActivationsStore]:\n        '''\n        Loads a session for training a sparse autoencoder on a language model.\n        '''\n        \n        model = self.get_model(self.cfg.model_name)\n        model.to(self.cfg.device)\n        activations_loader = self.get_activations_loader(self.cfg, model)\n        sparse_autoencoder = self.initialize_sparse_autoencoder(self.cfg)\n            \n        return model, sparse_autoencoder, activations_loader\n    \n    @classmethod\n    def load_session_from_pretrained(cls, path: str) -> Tuple[HookedTransformer, SparseAutoencoder, ActivationsStore]:\n        '''\n        Loads a session for analysing a pretrained sparse autoencoder.\n        '''\n        if torch.backends.mps.is_available():\n            cfg = torch.load(path, map_location=\"mps\")[\"cfg\"]\n            cfg.device = \"mps\"\n        elif torch.cuda.is_available():\n            cfg = torch.load(path, map_location=\"cuda\")[\"cfg\"]\n        else:\n            cfg = torch.load(path, map_location=\"cpu\")[\"cfg\"]\n\n        model, _, activations_loader = cls(cfg).load_session()\n        sparse_autoencoder = SparseAutoencoder.load_from_pretrained(path)\n        \n        return model, sparse_autoencoder, activations_loader\n    \n    def get_model(self, model_name: str):\n        '''\n        Loads a model from transformer lens\n        '''\n        \n        # Todo: add check that model_name is valid\n        \n        model = HookedTransformer.from_pretrained(model_name)\n        \n        return model \n    \n    def initialize_sparse_autoencoder(self, cfg: LanguageModelSAERunnerConfig):\n        '''\n        Initializes a sparse autoencoder\n        '''\n        \n        sparse_autoencoder = SparseAutoencoder(cfg)\n        \n        return sparse_autoencoder\n    \n    def get_activations_loader(self, cfg: LanguageModelSAERunnerConfig, model: HookedTransformer):\n        '''\n        Loads a DataLoaderBuffer for the activations of a language model.\n        '''\n        \n        activations_loader = ActivationsStore(\n            cfg, model,\n        )\n        \n        return activations_loader\n\ndef shuffle_activations_pairwise(datapath: str, buffer_idx_range: Tuple[int, int]):\n    \"\"\"\n    Shuffles two buffers on disk.\n    \"\"\"\n    assert buffer_idx_range[0] < buffer_idx_range[1], \\\n        \"buffer_idx_range[0] must be smaller than buffer_idx_range[1]\"\n    \n    buffer_idx1 = torch.randint(buffer_idx_range[0], buffer_idx_range[1], (1,)).item()\n    buffer_idx2 = torch.randint(buffer_idx_range[0], buffer_idx_range[1], (1,)).item()\n    while buffer_idx1 == buffer_idx2: # Make sure they're not the same\n        buffer_idx2 = torch.randint(buffer_idx_range[0], buffer_idx_range[1], (1,)).item()\n    \n    buffer1 = torch.load(f\"{datapath}/{buffer_idx1}.pt\")\n    buffer2 = torch.load(f\"{datapath}/{buffer_idx2}.pt\")\n    joint_buffer = torch.cat([buffer1, buffer2])\n    \n    # Shuffle them\n    joint_buffer = joint_buffer[torch.randperm(joint_buffer.shape[0])]\n    shuffled_buffer1 = joint_buffer[:buffer1.shape[0]]\n    shuffled_buffer2 = joint_buffer[buffer1.shape[0]:]\n    \n    # Save them back\n    torch.save(shuffled_buffer1, f\"{datapath}/{buffer_idx1}.pt\")\n    torch.save(shuffled_buffer2, f\"{datapath}/{buffer_idx2}.pt\")\n"
  },
  {
    "path": "setup.sh",
    "content": "echo \"Installing Python packages.\"\n\npip install -r requirements.txt\n\necho \"Package installation complete.\"\n\necho \"Checking whether transcoders present.\"\nDIR_NAME='./gpt-2-small-transcoders'\nif [ ! -d \"$DIR_NAME\" ]; then\n    mkdir \"$DIR_NAME\"\nfi\nif [ -z $(ls -A \"$DIR_NAME\") ]; then\n    echo \"Transcoders not found. Downloading transcoders.\"\n\n    export HF_HUB_DISABLE_PROGRESS_BARS=1\n    python - <<HERE\nfrom huggingface_hub import snapshot_download\nsnapshot_download(repo_id=\"pchlenski/gpt2-transcoders\", allow_patterns=[\"*.pt\"],\n    local_dir=\"$DIR_NAME\", local_dir_use_symlinks=False\n)\nHERE\n    export HF_HUB_DISABLE_PROGRESS_BARS=0\n    echo \"Transcoders downloaded.\"\nfi\n\n"
  },
  {
    "path": "sweep.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6e3fe139-9140-487a-82d6-1b2efab1b269\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Sparsity-faithfulness SAE and transcoder evaluations\\n\",\n    \"\\n\",\n    \"This notebook demonstrates how to perform the sparsity-faithfulness SAE and transcoder evaluations, as seen in Section 3.2.2 of our paper. We will be evaluating our transcoders and SAEs on Pythia-410M.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e096e8e5-3bba-456b-ab84-4571aea3690f\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9da60e4b-f27d-41eb-bd42-736e6231092c\",\n   \"metadata\": {},\n   \"source\": [\n    \"Import the standard `transcoder_circuits` code.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"id\": \"2bd1544d-2ea4-472a-8446-864fb872b993\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3cf48a63-5aad-4ba3-ab08-b8d36397998c\",\n   \"metadata\": {},\n   \"source\": [\n    \"Import the SAE/transcoder code, along with the model that we'll be analyzing.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"id\": \"587bb6de-8af2-4d23-bffe-095b76389a3f\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Loaded pretrained model pythia-410m into HookedTransformer\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\\n\",\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"import os\\n\",\n    \"import torch\\n\",\n    \"\\n\",\n    \"model = HookedTransformer.from_pretrained('pythia-410m')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1970b171-f1bf-44ff-a850-28ab3f5ad395\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"Now, load in a corpus of text that we'll use for our analysis. We'll be drawing from OpenWebText.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"eb24f806-aca2-441f-9e11-8de389bbeb90\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"d5bf917d-7bed-4a8a-99d1-284a6a5bda78\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"import numpy as np\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ba288f88-eab1-4eac-b49d-1da315133f50\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"318aebb9-7da8-4641-8705-9330d8736721\",\n   \"metadata\": {},\n   \"source\": [\n    \"# SAE sweep evaluation\\n\",\n    \"\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"2736d6f2-d365-4fd4-bcbe-20e73ab38592\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def eval_sae(model, owt_tokens_torch, sae, num_batches=100, batch_size=128):\\n\",\n    \"    layer = sae.cfg.hook_point_layer\\n\",\n    \"\\n\",\n    \"    # evaluate l0s\\n\",\n    \"    l0s = []\\n\",\n    \"    losses = []\\n\",\n    \"    \\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        for batch in tqdm.tqdm(range(0, num_batches)):\\n\",\n    \"            cur_tokens = owt_tokens_torch[batch*batch_size:(batch+1)*batch_size]\\n\",\n    \"            \\n\",\n    \"            sae_acts = []\\n\",\n    \"            def replacement_hook(acts, hook):\\n\",\n    \"                sae_out = sae(acts)\\n\",\n    \"                activations = sae_out[0].to(acts.dtype)\\n\",\n    \"                sae_acts.append(sae_out[1])\\n\",\n    \"                return activations\\n\",\n    \"            \\n\",\n    \"            loss = model.run_with_hooks(cur_tokens, return_type=\\\"loss\\\", fwd_hooks=[(sae.cfg.hook_point, replacement_hook)])\\n\",\n    \"            binarized_acts = 1.0*(sae_acts[0] > 0)\\n\",\n    \"            l0s.append(\\n\",\n    \"                (binarized_acts.reshape(-1, binarized_acts.shape[-1])).sum(dim=1).mean().item()\\n\",\n    \"            )\\n\",\n    \"            losses.append(utils.to_numpy(loss))\\n\",\n    \"    \\n\",\n    \"    return {\\n\",\n    \"        'l0': np.mean(l0s),\\n\",\n    \"        'sae_loss': np.mean(losses)\\n\",\n    \"    }\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"9d2d3dd9-e401-4b5f-af4b-b406fb5e387b\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:49<00:00,  1.15s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0': 505.2548745727539, 'sae_loss': 3.3368855}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sae_template = \\\"pythia-mlpout-saes/l1_4e-05/ajqvp8fc/final_sparse_autoencoder_pythia-410m_blocks.15.hook_mlp_out_32768\\\"\\n\",\n    \"sae = SparseAutoencoder.load_from_pretrained(f\\\"{sae_template}.pt\\\").eval()\\n\",\n    \"print(eval_sae(model, owt_tokens_torch, sae, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"6fcdc7bd-5c59-4a5d-9aa1-326bc1886b94\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:49<00:00,  1.15s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0': 109.87291198730469, 'sae_loss': 3.351243}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sae_template = \\\"pythia-mlpout-saes/l1_7e-05/wzktf3zm/final_sparse_autoencoder_pythia-410m_blocks.15.hook_mlp_out_32768\\\"\\n\",\n    \"sae = SparseAutoencoder.load_from_pretrained(f\\\"{sae_template}.pt\\\").eval()\\n\",\n    \"print(eval_sae(model, owt_tokens_torch, sae, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"75ab1b75-d55c-4c76-9f55-805466dda818\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:48<00:00,  1.14s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0': 55.06920654296875, 'sae_loss': 3.3596144}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sae_template = \\\"pythia-mlpout-saes/l1_8.5e-05/k761159s/final_sparse_autoencoder_pythia-410m_blocks.15.hook_mlp_out_32768\\\"\\n\",\n    \"sae = SparseAutoencoder.load_from_pretrained(f\\\"{sae_template}.pt\\\").eval()\\n\",\n    \"print(eval_sae(model, owt_tokens_torch, sae, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"b8f42132-2221-4c6b-9b36-bb9a82a7ca6d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:46<00:00,  1.13s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0': 31.498437805175783, 'sae_loss': 3.367786}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sae_template = \\\"pythia-mlpout-saes/l1_0.0001/b2ezwp1x/final_sparse_autoencoder_pythia-410m_blocks.15.hook_mlp_out_32768\\\"\\n\",\n    \"sae = SparseAutoencoder.load_from_pretrained(f\\\"{sae_template}.pt\\\").eval()\\n\",\n    \"print(eval_sae(model, owt_tokens_torch, sae, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"d6fc8a51-4a3c-48ab-9eb6-e1f58aeb5dcd\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Transcoder sweep evaluation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"cb3a71ef-0666-415f-a4e0-91f14dbf0190\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def eval_transcoder_l0_ce(model, all_tokens, transcoder, num_batches=100, batch_size=128):\\n\",\n    \"    l0s = []\\n\",\n    \"    transcoder_losses = []\\n\",\n    \"    \\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        for batch in tqdm.tqdm(range(0, num_batches)):\\n\",\n    \"            torch.cuda.empty_cache()\\n\",\n    \"            cur_batch_tokens = all_tokens[batch*batch_size:(batch+1)*batch_size]\\n\",\n    \"            with TranscoderReplacementContext(model, [transcoder]):\\n\",\n    \"                cur_losses, cache = model.run_with_cache(cur_batch_tokens, return_type=\\\"loss\\\", names_filter=[transcoder.cfg.hook_point])\\n\",\n    \"                # measure losses\\n\",\n    \"                transcoder_losses.append(utils.to_numpy(cur_losses))\\n\",\n    \"                # measure l0s\\n\",\n    \"                acts = cache[transcoder.cfg.hook_point]\\n\",\n    \"                binarized_transcoder_acts = 1.0*(transcoder(acts)a[1] > 0)\\n\",\n    \"                l0s.append(\\n\",\n    \"                    (binarized_transcoder_acts.reshape(-1, binarized_transcoder_acts.shape[-1])).sum(dim=1).mean().item()\\n\",\n    \"                )\\n\",\n    \"\\n\",\n    \"    return {\\n\",\n    \"        'l0s': np.mean(l0s),\\n\",\n    \"        'ce_loss': np.mean(transcoder_losses)\\n\",\n    \"    }\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"c6020d14-2883-4ced-9fb1-924111355e33\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:26<00:00,  1.03s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0s': 203.77172332763672, 'ce_loss': 3.341213}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"transcoder_template = \\\"./pythia-transcoders/lr_0.0002_l1_2.5e-05/pk60eijx/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"print(eval_transcoder_l0_ce(model, owt_tokens_torch, transcoder, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"17691515-39f7-46cc-a53a-9c210a804ea9\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:25<00:00,  1.03s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0s': 148.1538818359375, 'ce_loss': 3.3440711}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"transcoder_template = \\\"pythia-transcoders/lr_0.0002_l1_3e-05/67jdp0mv/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"print(eval_transcoder_l0_ce(model, owt_tokens_torch, transcoder, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"86d93f40-4a6f-45db-86ac-73a5324e7fe6\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:26<00:00,  1.03s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0s': 82.748544921875, 'ce_loss': 3.3491273}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"transcoder_template = \\\"pythia-transcoders/lr_0.0002_l1_4e-05/pze62n3h/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"print(eval_transcoder_l0_ce(model, owt_tokens_torch, transcoder, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"63b025f1-397e-4639-ac1a-da79d59f3e75\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:26<00:00,  1.03s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0s': 44.042958984375, 'ce_loss': 3.3549356}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"transcoder_template = \\\"pythia-transcoders/lr_0.0002_l1_5.5e-05/szsvunrm/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"print(eval_transcoder_l0_ce(model, owt_tokens_torch, transcoder, num_batches=200, batch_size=128))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"e0f69707-763a-4e25-9d52-b454832fcc06\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [03:26<00:00,  1.03s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'l0s': 27.454230651855468, 'ce_loss': 3.3682058}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"transcoder_template = \\\"pythia-transcoders/lr_0.0002_l1_7e-05/v4gqmaoc/final_sparse_autoencoder_pythia-410m_blocks.15.ln2.hook_normalized_32768\\\"\\n\",\n    \"transcoder = SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template}.pt\\\").eval()\\n\",\n    \"print(eval_transcoder_l0_ce(model, owt_tokens_torch, transcoder, num_batches=200, batch_size=128))\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  },
  {
    "path": "train_transcoder.py",
    "content": "# Transcoder training sample code\n\n\"\"\"\nThis sample script can be used to train a transcoder on a model of your choice.\nThis code, along with the transcoder training code more generally, was largely\n    adapted from an older version of Joseph Bloom's SAE training repo, the latest\n    version of which can be found at https://github.com/jbloomAus/SAELens.\nMost of the parameters given here are the same as the SAE training parameters\n    listed at https://jbloomaus.github.io/SAELens/training_saes/.\nTranscoder-specific parameters are marked as such in comments.\n\n\"\"\"\n\nimport torch\nimport os \nimport sys\nimport numpy as np\n\nos.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"\n\nfrom sae_training.config import LanguageModelSAERunnerConfig\nfrom sae_training.utils import LMSparseAutoencoderSessionloader\nfrom sae_training.train_sae_on_language_model import train_sae_on_language_model\n\nlr = 0.0004 # learning rate\nl1_coeff = 0.00014 # l1 sparsity regularization coefficient\n\ncfg = LanguageModelSAERunnerConfig(\n    # Data Generating Function (Model + Training Distibuion)\n\n    # \"hook_point\" is the TransformerLens HookPoint representing\n    #    the input activations to the transcoder that we want to train on.\n    # Here, \"ln2.hook_normalized\" refers to the activations after the\n    #    pre-MLP LayerNorm -- that is, the inputs to the MLP.\n    # You might alternatively prefer to train on \"blocks.8.hook_resid_mid\",\n    #    which corresponds to the input to the pre-MLP LayerNorm.\n    hook_point = \"blocks.8.ln2.hook_normalized\",\n    hook_point_layer = 8,\n    d_in = 768,\n    dataset_path = \"Skylion007/openwebtext\",\n    is_dataset_tokenized=False,\n    model_name='gpt2-small',\n\n    # Transcoder-specific parameters.\n    is_transcoder = True, # We're training a transcoder here.\n    # \"out_hook_point\" is the TransformerLens HookPoint representing\n    #    the output activations that the transcoder should reconstruct.\n    # In our use case, we're using transcoders to interpret MLP sublayers.\n    # This means that our transcoder will take in the input to an MLP and\n    #    attempt to spit out the output of the MLP (but in the form of a\n    #    sparse linear combination of feature vectors).\n    # As such, we want to grab the \"hook_mlp_out\" activations from our\n    #    transformer, which (as the name suggests), represent the\n    #    output activations of the original MLP sublayer.\n    out_hook_point = \"blocks.8.hook_mlp_out\",\n    out_hook_point_layer = 8,\n    d_out = 768,\n    \n    # SAE Parameters\n    expansion_factor = 32,\n    b_dec_init_method = \"mean\",\n    \n    # Training Parameters\n    lr = lr,\n    l1_coefficient = l1_coeff,\n    lr_scheduler_name=\"constantwithwarmup\",\n    train_batch_size = 4096,\n    context_size = 128,\n    lr_warm_up_steps=5000,\n    \n    # Activation Store Parameters\n    n_batches_in_buffer = 128,\n    total_training_tokens = 1_000_000 * 60,\n    store_batch_size = 32,\n    \n    # Dead Neurons and Sparsity\n    use_ghost_grads=True,\n    feature_sampling_method = None,\n    feature_sampling_window = 1000,\n    resample_batches=1028,\n    dead_feature_window=5000,\n    dead_feature_threshold = 1e-8,\n\n    # WANDB\n    log_to_wandb = False,\n    \n    # Misc\n    use_tqdm = True,\n    device = \"cuda\",\n    seed = 42,\n    n_checkpoints = 3,\n    checkpoint_path = \"gpt2-small-transcoders\", # change as you please\n    dtype = torch.float32,\n)\n\nprint(f\"About to start training with lr {lr} and l1 {l1_coeff}\")\nprint(f\"Checkpoint path: {cfg.checkpoint_path}\")\nprint(cfg)\n\nloader = LMSparseAutoencoderSessionloader(cfg)\nmodel, sparse_autoencoder, activations_loader = loader.load_session()\n\n# train SAE\nsparse_autoencoder = train_sae_on_language_model(\n    model, sparse_autoencoder, activations_loader,\n    n_checkpoints=cfg.n_checkpoints,\n    batch_size = cfg.train_batch_size,\n    feature_sampling_method = cfg.feature_sampling_method,\n    feature_sampling_window = cfg.feature_sampling_window,\n    feature_reinit_scale = cfg.feature_reinit_scale,\n    dead_feature_threshold = cfg.dead_feature_threshold,\n    dead_feature_window=cfg.dead_feature_window,\n    use_wandb = cfg.log_to_wandb,\n    wandb_log_frequency = cfg.wandb_log_frequency\n)\n\n# save sae to checkpoints folder\npath = f\"{cfg.checkpoint_path}/final_{sparse_autoencoder.get_name()}.pt\"\nsparse_autoencoder.save_model(path)"
  },
  {
    "path": "transcoder_circuits/__init__.py",
    "content": ""
  },
  {
    "path": "transcoder_circuits/circuit_analysis.py",
    "content": "# --- code for circuit analysis --- #\r\n\r\nimport torch\r\nimport numpy as np\r\nimport tqdm\r\n\r\nfrom transformer_lens.utils import get_act_name, to_numpy\r\n\r\n# first, some preliminary functions, used to calculate\r\n#   attribs between pairs of components\r\n\r\n@torch.no_grad()\r\ndef get_attn_head_contribs(model, cache, layer, range_normal):\r\n\tsplit_vals = cache[get_act_name('v', layer)]\r\n\tattn_pattern = cache[get_act_name('pattern', layer)]\r\n\t#'batch head dst src, batch src head d_head -> batch head dst src d_head'\r\n\tweighted_vals = torch.einsum(\r\n\t\t'b h d s, b s h f -> b h d s f',\r\n\t\tattn_pattern, split_vals\r\n\t)\r\n\r\n  # 'batch head dst src d_head, head d_head d_model -> batch head dst src d_model'\r\n\tweighted_outs = torch.einsum(\r\n\t\t'b h d s f, h f m -> b h d s m',\r\n\t\tweighted_vals, model.W_O[layer]\r\n\t)\r\n\r\n  # 'batch head dst src d_model, d_model -> batch head dst src'\r\n\tcontribs = torch.einsum(\r\n\t\t'b h d s m, m -> b h d s',\r\n\t\tweighted_outs, range_normal\r\n\t)\r\n\r\n\treturn contribs\r\n\r\n@torch.no_grad()\r\ndef get_transcoder_ixg(transcoder, cache, range_normal, input_layer, input_token_idx, return_numpy=True, is_transcoder_post_ln=True, return_feature_activs=True):\r\n    pulledback_feature = transcoder.W_dec @ range_normal\r\n    if is_transcoder_post_ln:\r\n        act_name = get_act_name('normalized', input_layer, 'ln2')\r\n    else:\r\n        act_name = get_act_name('resid_mid', input_layer)\r\n\r\n    feature_activs = transcoder(cache[act_name])[1][0,input_token_idx]\r\n    pulledback_feature = pulledback_feature * feature_activs\r\n    if return_numpy:\r\n        pulledback_feature = to_numpy(pulledback_feature)\r\n        feature_activs = to_numpy(feature_activs)\r\n\r\n    if not return_feature_activs:\r\n        return pulledback_feature\r\n    else:\r\n        return pulledback_feature, feature_activs\r\n\r\n# get the mean input-times-gradient vector over a dataset of tokens\r\n@torch.no_grad()\r\ndef get_mean_ixg(model, tokens_arr, range_transcoder, range_feature_idx, transcoder, token_idxs=None, batch_size=64, do_sum_count=False):\r\n    act_name = transcoder.cfg.hook_point\r\n    layer = transcoder.cfg.hook_point_layer\r\n\r\n    range_normal = range_transcoder.W_enc[:, range_feature_idx]\r\n    pulledback_feature = transcoder.W_dec @ range_normal\r\n\r\n    \r\n    if token_idxs is None:\r\n        tokens_gen = tqdm.tqdm(range(0, tokens_arr.shape[0], batch_size))\r\n    else:\r\n        tokens_gen = tqdm.tqdm(token_idxs)\r\n    \r\n    if not do_sum_count:\r\n        mean_ixgs = []\r\n    else:\r\n        ixgs_sum = np.zeros(transcoder.W_enc.shape[1])\r\n        ixgs_count = np.zeros(transcoder.W_enc.shape[1])\r\n\r\n    for t in tokens_gen:\r\n        if token_idxs is not None:\r\n            example_idx, token_idx = t\r\n            with torch.no_grad():\r\n                _, cache = model.run_with_cache(tokens_arr[example_idx, :token_idx+1], stop_at_layer=layer+1, names_filter=[\r\n                    act_name\r\n                ])\r\n                acts = cache[act_name]\r\n                feature_activs = transcoder(acts)[1][0, token_idx]\r\n                cur_ixg = (pulledback_feature * feature_activs)[None]\r\n        else:\r\n            i = t\r\n            with torch.no_grad():\r\n                _, cache = model.run_with_cache(tokens_arr[i:i+batch_size], stop_at_layer=layer+1, names_filter=[\r\n                    act_name\r\n                ])\r\n                acts = cache[act_name]\r\n                feature_activs = transcoder(acts)[1].reshape(-1, transcoder.W_enc.shape[1])\r\n                \r\n                cur_ixg = torch.einsum('i, ji -> ji', pulledback_feature, feature_activs)\r\n\r\n        if not do_sum_count:\r\n            mean_ixgs.append(np.mean(to_numpy(cur_ixg), axis=0))\r\n        else:\r\n            ixgs_sum += to_numpy(cur_ixg).sum(axis=0)\r\n            ixgs_count += np.abs(to_numpy(cur_ixg)>0).sum(axis=0)\r\n\r\n    if do_sum_count:\r\n        ixgs_count[ixgs_count == 0] = 1\r\n        return ixgs_sum/ixgs_count, ixgs_count/len(token_idxs)\r\n    else:\r\n        return np.mean(mean_ixgs, axis=0)\r\n\r\n# approximate layernorms as constants when propagating feature vectors backward\r\n# for theoretical motivation, see the LayerNorm section of\r\n#\thttps://www.neelnanda.io/mechanistic-interpretability/attribution-patching\r\n@torch.no_grad()\r\ndef get_ln_constant(model, cache, vector, layer, token, is_ln2=False, recip=False):\r\n    x_act_name = get_act_name('resid_mid', layer) if is_ln2 else get_act_name('resid_pre', layer)\r\n    x = cache[x_act_name][0, token]\r\n\r\n    y_act_name = get_act_name('normalized', layer, 'ln2' if is_ln2 else 'ln1')\r\n    y = cache[y_act_name][0, token]\r\n\r\n    if torch.dot(vector, x) == 0:\r\n        return torch.tensor(0.)\r\n    return torch.dot(vector, y)/torch.dot(vector, x) if not recip else torch.dot(vector, x)/torch.dot(vector, y)\r\n\r\n# now, we'll actually write the circuit analysis code that finds\r\n#  computational paths and calculates their importances\r\n\r\nimport enum\r\nfrom dataclasses import dataclass, field\r\nfrom typing import Optional, List\r\nimport copy\r\n\r\n# define some classes\r\n\r\nclass ComponentType(enum.Enum):\r\n    MLP = 'mlp'\r\n    ATTN = 'attn'\r\n    EMBED = 'embed'\r\n    \r\n    # error terms\r\n    TC_ERROR = 'tc_error' # error due to inaccurate transcoders\r\n    PRUNE_ERROR = 'prune_error' # error due to only looking at top paths in graph\r\n    BIAS_ERROR = 'bias_error' # account for bias terms in transcoders\r\n\r\nclass FeatureType(enum.Enum):\r\n    NONE = 'none'\r\n    SAE = 'sae'\r\n    TRANSCODER = 'tc'\r\n\r\nclass ContribType(enum.Enum):\r\n    RAW = 'raw'\r\n    ZERO_ABLATION = 'zero_ablation'\r\n\r\n# Component: an individual component (e.g. an attn head or a transcoder feature)\r\n@dataclass\r\nclass Component:\r\n    layer: int\r\n    component_type: ComponentType\r\n\r\n    token: Optional[int] = None\r\n\r\n    attn_head: Optional[int] = None\r\n\r\n    feature_type: Optional[FeatureType] = None\r\n    feature_idx: Optional[int] = None\r\n\r\n    def __str__(self, show_token=True):\r\n        retstr = ''\r\n        feature_type_str = ''\r\n\r\n        base_str = f'{self.component_type.value}{self.layer}'\r\n        attn_str = '' if self.component_type != ComponentType.ATTN else f'[{self.attn_head}]'\r\n        \r\n        feature_str = ''\r\n        if self.feature_type is not None and self.feature_idx is not None:\r\n            feature_str = f\"{self.feature_type.value}[{self.feature_idx}]\"\r\n            \r\n        token_str = ''\r\n        if self.token is not None and show_token:\r\n            token_str = f'@{self.token}'\r\n\r\n        retstr = ''.join([base_str, attn_str, feature_str, token_str])\r\n        return retstr\r\n\r\n    def __repr__(self):\r\n        return f'<Component object {str(self)}>'\r\n\r\n# FeatureVector: a unique feature vector potentially associated with a path of components\r\n#  along with a contrib\r\n@dataclass\r\nclass FeatureVector:\r\n    # a list of components that can be used to uniquely specify the direction of the feature vector\r\n    component_path: List[Component]\r\n    # TODO: potentially add \"gradients\" and \"activations\" lists\r\n\r\n    vector: torch.Tensor\r\n\r\n    # sublayer can be 'mlp_out', 'resid_post', 'resid_mid', 'resid_pre'\r\n    # denotes where the feature vector lives\r\n    layer: int\r\n    sublayer: str\r\n    token: Optional[int] = None\r\n\r\n    contrib: Optional[float] = None\r\n    contrib_type: Optional[ContribType] = None\r\n\r\n    error: float = 0.0\r\n\r\n    def __post_init__(self):\r\n        if self.token is None and len(self.component_path)>0: self.token = self.component_path[-1].token\r\n        if self.layer is None and len(self.component_path)>0: self.layer = self.component_path[-1].layer\r\n\r\n    # note: str(FeatureVector) should return a string that uniquely identifies a feature direction (e.g. for use in a causal graph)\r\n    # (this is distinct from a unique feature *vector*, by the way)\r\n    def __str__(self, show_full=True, show_contrib=True, show_last_token=True):\r\n        retstr = ''\r\n        token_str = '' if self.token is None or not show_last_token else f'@{self.token}'\r\n        if len(self.component_path) > 0:\r\n            if show_full:\r\n                retstr = ''.join(x.__str__(show_token=False) for x in self.component_path[:-1])\r\n            retstr = ''.join([retstr, self.component_path[-1].__str__(show_token=False), token_str])\r\n        else:\r\n            retstr = f'*{self.sublayer}{self.layer}{token_str}'\r\n        if show_contrib and self.contrib is not None:\r\n            retstr = ''.join([retstr, f': {self.contrib:.2}'])\r\n        return retstr\r\n\r\n    def __repr__(self):\r\n        contrib_type_str = '' if self.contrib_type is None else f' contrib_type={self.contrib_type.value}'\r\n        return f'<FeatureVector object {str(self)}, sublayer={self.sublayer}{contrib_type_str}>'\r\n\r\n@torch.no_grad()\r\ndef make_sae_feature_vector(sae, feature_idx, use_encoder=True, token=-1):\r\n    hook_point = sae.cfg.hook_point if (use_encoder or not sae.cfg.is_transcoder) else sae.cfg.out_hook_point\r\n    layer = sae.cfg.hook_point_layer if (use_encoder or not sae.cfg.is_transcoder) else sae.cfg.out_hook_point_layer\r\n    feature_type = FeatureType.SAE if not sae.cfg.is_transcoder else FeatureType.TRANSCODER\r\n    vector = sae.W_enc[:,feature_idx] if use_encoder else sae.W_dec[feature_idx]\r\n    vector = torch.clone(vector.detach())\r\n    vector.requires_grad = False\r\n    vector.requires_grad_(False)\r\n    if 'resid_mid' in hook_point or ('normalized' in hook_point and 'ln2' in hook_point):\r\n        # currently, we treat ln2normalized as resid_mid\r\n        # this is kinda ugly, but because we account for layernorm constants in later\r\n        #  functions, this does work now\r\n        sublayer = 'resid_mid'\r\n        component_type = ComponentType.MLP\r\n    elif 'resid_pre' in hook_point:\r\n        sublayer = 'resid_pre'\r\n        component_type = ComponentType.ATTN\r\n    elif 'mlp_out' in hook_point:\r\n        sublayer = 'mlp_out'\r\n        component_type = ComponentType.MLP\r\n    elif 'resid_post' in hook_point:\r\n        sublayer = 'resid_post'\r\n        component_type = ComponentType.ATTN\r\n\r\n    my_feature = FeatureVector(\r\n        component_path=[Component(\r\n            layer=layer,\r\n            component_type=component_type,\r\n            token=token,\r\n            feature_type=feature_type,\r\n            feature_idx=feature_idx\r\n        )],\r\n        \r\n        layer = layer,\r\n        sublayer = sublayer,\r\n        vector = vector\r\n    )\r\n\r\n    return my_feature\r\n\r\n@torch.no_grad()\r\ndef get_top_transcoder_features(model, transcoder, cache, feature_vector, layer, k=5):\r\n    my_token = feature_vector.token if feature_vector.token >= 0 else cache[get_act_name('resid_pre', 0)].shape[1]+feature_vector.token\r\n    is_transcoder_post_ln = 'ln2' in transcoder.cfg.hook_point and 'normalized' in transcoder.cfg.hook_point\r\n    \r\n    # compute error\r\n    if is_transcoder_post_ln:\r\n        act_name = get_act_name('normalized', layer, 'ln2')\r\n    else:\r\n        act_name = get_act_name('resid_mid', layer)\r\n    transcoder_out = transcoder(cache[act_name])[0][0,my_token]\r\n    mlp_out = model.blocks[layer].mlp(cache[act_name])[0, my_token]\r\n    error = torch.dot(feature_vector.vector, mlp_out - transcoder_out)/torch.dot(feature_vector.vector, mlp_out)\r\n\r\n    # compute pulledback feature\r\n    pulledback_feature, feature_activs = get_transcoder_ixg(transcoder, cache, feature_vector.vector, layer, feature_vector.token, return_numpy=False, is_transcoder_post_ln=is_transcoder_post_ln)\r\n    top_contribs, top_indices = torch.topk(pulledback_feature, k=k)\r\n\r\n    top_contribs_list = []\r\n    for contrib, index in zip(top_contribs, top_indices):\r\n        vector = transcoder.W_enc[:, index]\r\n        vector = vector * (transcoder.W_dec @ feature_vector.vector)[index]\r\n\r\n        if is_transcoder_post_ln:\r\n            vector = vector * get_ln_constant(model, cache, vector, layer, feature_vector.token, is_ln2=True)\r\n\r\n        new_component = Component(\r\n            layer=layer,\r\n            component_type=ComponentType.MLP,\r\n            token=my_token,\r\n            feature_type=FeatureType.TRANSCODER,\r\n            feature_idx=index.item(),\r\n        )\r\n        top_contribs_list.append(FeatureVector(\r\n            component_path=[new_component],\r\n            vector = vector,\r\n            layer=layer,\r\n            sublayer=\"resid_mid\",\r\n            contrib=contrib.item(),\r\n            contrib_type=ContribType.RAW,\r\n            error=error,\r\n        ))\r\n    return top_contribs_list\r\n\r\n@torch.no_grad()\r\ndef get_top_contribs(model, transcoders, cache, feature_vector, k=5, ignore_bos=True, only_return_all_scores=False, cap=None, filter=None):\r\n    if feature_vector.sublayer == \"mlp_out\":\r\n        return get_top_transcoder_features(model, transcoders[feature_vector.layer], cache, feature_vector, feature_vector.layer, k=k)\r\n\r\n    my_layer = feature_vector.layer\r\n    \r\n    # get MLP contribs\r\n    all_mlp_contribs = []\r\n    mlp_max_layer = my_layer + (1 if feature_vector.sublayer == 'resid_post' else 0)\r\n    for cur_layer in range(mlp_max_layer):\r\n        cur_top_features = get_top_transcoder_features(model, transcoders[cur_layer], cache, feature_vector, cur_layer, k=k)\r\n        all_mlp_contribs = all_mlp_contribs + cur_top_features\r\n\r\n    # get attn contribs\r\n    all_attn_contribs = []\r\n    attn_max_layer = my_layer + (1 if feature_vector.sublayer == 'resid_post' or feature_vector.sublayer == 'resid_mid' else 0)\r\n    for cur_layer in range(attn_max_layer):\r\n        attn_contribs = get_attn_head_contribs(model, cache, cur_layer, feature_vector.vector)[0, :, feature_vector.token, :]\r\n        if ignore_bos:\r\n            attn_contribs = attn_contribs[:, 1:]\r\n        top_attn_contribs_flattened, top_attn_contrib_indices_flattened = torch.topk(attn_contribs.flatten(), k=np.min([k, len(attn_contribs)]))\r\n        top_attn_contrib_indices = np.array(np.unravel_index(to_numpy(top_attn_contrib_indices_flattened), attn_contribs.shape)).T\r\n\r\n        for contrib, (head, src_token) in zip(top_attn_contribs_flattened, top_attn_contrib_indices):\r\n            if ignore_bos:\r\n                src_token = src_token + 1\r\n            vector = model.OV[cur_layer, head] @ feature_vector.vector\r\n            attn_pattern = cache[get_act_name('pattern', cur_layer)]\r\n            vector = vector * attn_pattern[0, head, feature_vector.token, src_token]\r\n            ln_constant = get_ln_constant(model, cache, vector, cur_layer, src_token, is_ln2=False)\r\n            vector = vector * ln_constant\r\n            if ln_constant.isnan(): print(\"Nan!\")\r\n\r\n            new_component = Component(\r\n                layer=cur_layer,\r\n                component_type=ComponentType.ATTN,\r\n                token=src_token,\r\n                attn_head=head\r\n            )\r\n            new_feature_vector = FeatureVector(\r\n                component_path=feature_vector.component_path + [new_component],\r\n                vector=vector,\r\n                layer=cur_layer,\r\n                sublayer='resid_pre',\r\n                contrib=contrib.item(),\r\n                contrib_type=ContribType.RAW\r\n            )\r\n            all_attn_contribs.append(new_feature_vector)\r\n\r\n    # get embedding contribs\r\n    my_token = feature_vector.token if feature_vector.token >= 0 else cache[get_act_name('resid_pre', 0)].shape[1]+feature_vector.token\r\n    embedding_contrib = FeatureVector(\r\n        component_path = feature_vector.component_path + [Component(\r\n            layer=0,\r\n            component_type=ComponentType.EMBED,\r\n            token=my_token,\r\n        )],\r\n        vector=feature_vector.vector,\r\n        layer=0,\r\n        sublayer='resid_pre',\r\n        contrib=torch.dot(cache[get_act_name('resid_pre', 0)][0, feature_vector.token], feature_vector.vector).item(),\r\n        contrib_type=ContribType.RAW\r\n    )\r\n\r\n    # get top contribs from all categories\r\n    all_contribs = all_mlp_contribs + all_attn_contribs + [embedding_contrib]\r\n\r\n    if filter is not None:\r\n        all_contribs = [ x for x in all_contribs if filter.match(x) ]\r\n    \r\n    if cap is not None:\r\n        for i, contrib in enumerate(all_contribs):\r\n            if contrib.contrib > cap:\r\n                all_contribs[i].contrib = cap\r\n                all_contribs[i].contrib_type = ContribType.ZERO_ABLATION\r\n    all_contrib_scores = torch.tensor([x.contrib for x in all_contribs])\r\n    if only_return_all_scores: return all_contrib_scores\r\n    \r\n    _, top_contrib_indices = torch.topk(all_contrib_scores, k=np.min([k, len(all_contrib_scores)]))\r\n    return [all_contribs[i.item()] for i in top_contrib_indices]\r\n\r\n@torch.no_grad()\r\ndef greedy_get_top_paths(model, transcoders, cache, feature_vector, num_iters=2, num_branches=5, ignore_bos=True, do_raw_attribution=False, filter=None):\r\n    do_cap = not do_raw_attribution # historical name change; TODO: refactor\r\n    \r\n    all_paths = []\r\n    new_root = copy.deepcopy(feature_vector)\r\n\r\n    # deal with LN constant\r\n    # TODO: this is hacky and makes the assumption that if feature_vector is a transcoder feature, then it comes from the passed list of transcoders\r\n    if new_root.component_path[-1].feature_type == FeatureType.TRANSCODER:\r\n        tc = transcoders[new_root.layer]\r\n        if 'ln2.hook_normalized' in tc.cfg.hook_point:\r\n            ln_constant = get_ln_constant(model, cache, new_root.vector, new_root.layer, new_root.token, is_ln2=True)\r\n            new_root.vector *= ln_constant\r\n        new_root.contrib = tc(cache[tc.cfg.hook_point])[1][0, new_root.token, new_root.component_path[-1].feature_idx].item()\r\n    cur_paths = [[new_root]]\r\n    for iter in range(num_iters):\r\n        new_paths = []\r\n        for path in cur_paths:\r\n            cur_feature = path[-1]\r\n            if cur_feature.layer == 0 and cur_feature.sublayer == 'resid_pre': continue\r\n            \r\n            cap = None\r\n            if do_cap:\r\n                # Cap feature contribs at smallest transcoder feature activation\r\n                # This corresponds to calculating feature attribs by\r\n                #   zero-ablating the output of the feature\r\n                for cap_feature in path:\r\n                    if len(cap_feature.component_path) > 0 and (cap_feature.component_path[-1].feature_type == FeatureType.TRANSCODER or cap_feature.component_path[-1].feature_type == FeatureType.SAE and (cap is None or cap_feature.contrib < cap)):\r\n                        cap = cap_feature.contrib\r\n            \r\n            cur_top_contribs = get_top_contribs(model, transcoders, cache, cur_feature, k=num_branches, ignore_bos=ignore_bos, cap=cap, filter=filter)\r\n            new_paths = new_paths + [ path + [cur_top_contrib] for cur_top_contrib in cur_top_contribs ]\r\n        _, top_new_path_indices = torch.topk(torch.tensor([new_path[-1].contrib for new_path in new_paths]), k=np.min([num_branches, len(new_paths)]))\r\n        cur_paths = [ new_paths[i] for i in top_new_path_indices ]\r\n        all_paths.append(cur_paths)\r\n    return all_paths\r\n\r\ndef print_all_paths(paths):\r\n    if len(paths) == 0: return\r\n    if type(paths[0][0]) is list:\r\n        for i, cur_paths in enumerate(paths):\r\n            try:\r\n                print(f\"--- Paths of size {len(cur_paths[0])} ---\")\r\n            except:\r\n                continue\r\n            for j, cur_path in enumerate(cur_paths):\r\n                print(f\"Path [{i}][{j}]: \", end=\"\")\r\n                print(\" <- \".join(map(lambda x: x.__str__(show_full=False, show_last_token=True), cur_path)))\r\n    else:\r\n        for j, cur_path in enumerate(paths):\r\n            print(f\"Path [{j}]: \", end=\"\")\r\n            print(\" <- \".join(map(lambda x: x.__str__(show_full=False, show_last_token=True), cur_path)))\r\n\r\n@torch.no_grad()\r\ndef get_raw_top_features_among_paths(all_paths, use_tokens=True, top_k=5, filter_layers=None, filter_sublayers=None):\r\n    retdict = {}\r\n    str_to_feature = {}\r\n    for i, cur_length_paths in enumerate(all_paths):\r\n        for j, cur_path in enumerate(cur_length_paths):\r\n            cur_feature = cur_path[-1]\r\n            if filter_layers is not None and cur_feature.layer not in filter_layers: continue\r\n            if filter_sublayers is not None and cur_feature.sublayer not in filter_sublayers: continue\r\n\r\n            cur_feature_str = cur_feature.__str__(show_contrib=False, show_last_token=use_tokens)\r\n\r\n            contrib = 0\r\n            if cur_feature.contrib is not None:\r\n                assert(cur_feature.contrib_type == ContribType.RAW)\r\n                contrib = cur_feature.contrib\r\n            if cur_feature_str not in retdict:\r\n                try:\r\n                    retdict[cur_feature_str] = copy.deepcopy(cur_feature)\r\n                except Exception as e:\r\n                    print(cur_feature)\r\n                    print(cur_feature.component_path)\r\n                    print(cur_feature.vector)\r\n                    raise e\r\n                retdict[cur_feature_str].contrib = contrib\r\n            else:\r\n                retdict[cur_feature_str].contrib = retdict[cur_feature_str].contrib + contrib\r\n    if top_k is None or top_k > len(retdict): top_k = len(retdict)\r\n    top_scores, top_indices = torch.topk(torch.tensor([x.contrib for x in retdict.values()], dtype=torch.float), k=top_k)\r\n    retlist = []\r\n    keys_list = list(retdict.keys())\r\n    for score, index in zip(top_scores, top_indices):\r\n        cur_feature = retdict[keys_list[index.item()]]\r\n        if not use_tokens:\r\n            for component in cur_feature.component_path: component.token=None\r\n            cur_feature.token=None\r\n        retlist.append(cur_feature)\r\n    return retlist\r\n\r\n# now, code for filtering computational paths\r\n\r\nimport dataclasses\r\nclass FilterType(enum.Enum):\r\n    EQ = enum.auto() # equals\r\n    NE = enum.auto() # not equal to\r\n    GT = enum.auto() # greater than\r\n    GE = enum.auto() # greater than or equal to\r\n    LT = enum.auto() # less than \r\n    LE = enum.auto() # less than or equal to\r\n\r\n@dataclass\r\nclass FeatureFilter:\r\n    # feature-level filters\r\n    layer: Optional[int] = field(default=None, metadata={'filter_level': 'feature'})\r\n    layer_filter_type: FilterType = FilterType.EQ\r\n    sublayer: Optional[int] = field(default=None, metadata={'filter_level': 'feature'})\r\n    sublayer_filter_type: FilterType = FilterType.EQ\r\n    token: Optional[int] = field(default=None, metadata={'filter_level': 'feature'})\r\n    token_filter_type: FilterType = FilterType.EQ\r\n\r\n    # filters on last component in component_path\r\n    component_type: Optional[ComponentType] = field(default=None, metadata={'filter_level': 'component'})\r\n    component_type_filter_type: FilterType = FilterType.EQ\r\n    attn_head: Optional[int] = field(default=None, metadata={'filter_level': 'component'})\r\n    attn_head_filter_type: FilterType = FilterType.EQ\r\n    feature_type: Optional[FeatureType] = field(default=None, metadata={'filter_level': 'component'})\r\n    feature_type_filter_type: FilterType = FilterType.EQ\r\n    feature_idx: Optional[int] = field(default=None, metadata={'filter_level': 'component'}) \r\n    feature_idx_filter_type: FilterType = FilterType.EQ       \r\n\r\n    def match(self, feature):\r\n        component = None\r\n        \r\n        for field in dataclasses.fields(self):\r\n            name = field.name\r\n            val = self.__dict__[name]\r\n            if val is None: continue\r\n            \r\n            try:\r\n                filter_level = field.metadata['filter_level']\r\n            except KeyError:\r\n                continue # not a filter\r\n            if filter_level == 'feature':\r\n                if val is not None:\r\n                    filter_type = self.__dict__[f'{name}_filter_type']\r\n                    if filter_type == FilterType.EQ and val != feature.__dict__[name]: return False\r\n                    if filter_type == FilterType.NE and val == feature.__dict__[name]: return False\r\n                    if filter_type == FilterType.GT and feature.__dict__[name] <= val: return False\r\n                    if filter_type == FilterType.GE and feature.__dict__[name] < val: return False\r\n                    if filter_type == FilterType.LT and feature.__dict__[name] >= val: return False\r\n                    if filter_type == FilterType.LE and feature.__dict__[name] > val: return False\r\n            elif filter_level == 'component':\r\n                if component is None:\r\n                    if len(feature.component_path) <= 0: return False\r\n                    component = feature.component_path[-1]\r\n                if val is not None:\r\n                    filter_type = self.__dict__[f'{name}_filter_type']\r\n                    if filter_type == FilterType.EQ and val != component.__dict__[name]: return False\r\n                    if filter_type == FilterType.NE and val == component.__dict__[name]: return False\r\n        return True\r\n\r\nimport functools\r\ndef flatten_nested_list(x):\r\n    return list(functools.reduce(lambda a,b: a+b, x))\r\n\r\ndef get_paths_via_filter(all_paths, infix_path=None, not_infix_path=None, suffix_path=None):\r\n    retpaths = []\r\n    if type(all_paths[0][0]) is list:\r\n        path_list = flatten_nested_list(all_paths)\r\n    else:\r\n        path_list = all_paths\r\n    for path in path_list:\r\n        if not_infix_path is not None:\r\n            if len(path) < len(not_infix_path): continue\r\n\r\n            match_started = False\r\n            path_good = True\r\n            i = 0\r\n            for j, cur_feature in enumerate(path):\r\n                cur_infix_filter = not_infix_path[i]\r\n                \r\n                if cur_infix_filter.match(cur_feature):\r\n                    if not match_started:\r\n                        if len(path[j:]) < len(not_infix_path): break\r\n                        match_started = True\r\n                elif match_started:\r\n                    path_good = False\r\n                    break\r\n                    \r\n                if match_started:\r\n                    i = i + 1\r\n                    if i >= len(not_infix_path): break\r\n            if not (match_started and path_good): retpaths.append(path)\r\n        \r\n        if infix_path is not None:\r\n            if len(path) < len(infix_path): continue\r\n\r\n            match_started = False\r\n            path_good = True\r\n            i = 0\r\n            for j, cur_feature in enumerate(path):\r\n                cur_infix_filter = infix_path[i]\r\n                \r\n                if cur_infix_filter.match(cur_feature):\r\n                    if not match_started:\r\n                        if len(path[j:]) < len(infix_path): break\r\n                        match_started = True\r\n                elif match_started:\r\n                    path_good = False\r\n                    break\r\n                    \r\n                if match_started:\r\n                    i = i + 1\r\n                    if i >= len(infix_path): break\r\n            if match_started and path_good: retpaths.append(path)\r\n        \r\n        if suffix_path is not None:\r\n            if len(path) < len(suffix_path): continue\r\n            path_good = True\r\n            for i in range(1, len(suffix_path)+1):\r\n                cur_feature = path[-i]\r\n                cur_suffix_filter = suffix_path[-i]\r\n                if not cur_suffix_filter.match(cur_feature):\r\n                    path_good = False\r\n                    break\r\n            if path_good: retpaths.append(path)\r\n    return retpaths\r\n\r\n# code for combining computational paths into graphs\r\n\r\ndef path_to_str(path, show_contrib=False, show_last_token=False):\r\n    return \" <- \".join(list(x.__str__(show_contrib=show_contrib, show_last_token=show_last_token) for x in path))\r\n\r\nimport collections\r\n\r\n@torch.no_grad()\r\ndef paths_to_graph(all_paths):\r\n    if type(all_paths[0][0]) is list:\r\n        path_list = flatten_nested_list(all_paths)\r\n    else:\r\n        path_list = all_paths\r\n        \r\n    retdict = collections.defaultdict(int)\r\n    nodes = {}\r\n    seen_prefixes = set()\r\n    for i, cur_path in enumerate(path_list):\r\n        for j in range(0, len(cur_path)):\r\n            prefix = cur_path[:j+1]\r\n            prefix_str = path_to_str(prefix, show_last_token=True)\r\n            if prefix_str in seen_prefixes: continue\r\n            seen_prefixes.add(prefix_str)\r\n\r\n            if j == 0:\r\n                # prefix is of size 1\r\n                try:\r\n                    my_contrib = prefix[0].contrib if prefix[0].contrib is not None else 0\r\n                    nodes[prefix_str].contrib += my_contrib\r\n                    if prefix[0].contrib is not None and my_contrib != 0:\r\n                        nodes[prefix_str].vector = nodes[prefix_str].vector + prefix[0].vector\r\n                except KeyError:\r\n                    nodes[prefix_str] = copy.copy(prefix[0])\r\n                continue\r\n            \r\n            parent, child = cur_path[j-1], cur_path[j]\r\n            parent_str = parent.__str__(show_contrib=False, show_last_token=True, show_full=False)\r\n            child_str = child.__str__(show_contrib=False, show_last_token=True, show_full=False)\r\n            assert child.contrib_type == ContribType.RAW, f\"Contrib type is not ContribType.RAW: {child_str}->{parent_str}\"\r\n            retdict[(child_str, parent_str)] += child.contrib\r\n\r\n            try:\r\n                nodes[child_str].contrib += child.contrib\r\n                nodes[child_str].vector = nodes[child_str].vector + child.vector\r\n            except KeyError:\r\n                nodes[child_str] = copy.deepcopy(child)\r\n\r\n    # last step: go through all the attention nodes and trim their component_paths\r\n    # (this is because they now correspond to multiple later-layer features)\r\n\r\n    new_nodes = { node_str: nodes[node_str] for node_str in nodes }\r\n    for node_str in nodes:\r\n        node = nodes[node_str]\r\n        if node.component_path[-1].component_type != ComponentType.ATTN: continue\r\n\r\n        node.component_path = [node.component_path[-1]]\r\n        try:\r\n            del new_nodes[node_str]\r\n        except:\r\n            pass\r\n        new_nodes[node.__str__(show_contrib=False, show_last_token=True, show_full=False)] = node\r\n    \r\n    return retdict, new_nodes\r\n\r\n@torch.no_grad()\r\ndef add_error_nodes_to_graph(model, cache, transcoders, edges, nodes, do_bias=True):\r\n    # add error nodes representing error in transcoders and error due to computational paths being pruned\r\n\r\n    # first: deal with transcoder error\r\n    new_edges = { edge: edges[edge] for edge in edges }\r\n    new_nodes = { node_str: nodes[node_str] for node_str in nodes }\r\n    # only want to add error nodes to non-leaf nodes\r\n    # also, fill up a dict of nodes' children for later\r\n    children_dict = {}\r\n    for child_str, parent_str in edges:\r\n        if parent_str in children_dict:\r\n            children_dict[parent_str].append(child_str)\r\n            continue\r\n        else:\r\n            children_dict[parent_str] = [child_str]\r\n        \r\n        parent = nodes[parent_str]\r\n        if parent.sublayer not in ['resid_mid', 'resid_pre', 'resid_post']: continue\r\n\r\n        max_layer = parent.layer\r\n        if parent.sublayer == 'resid_post': max_layer = max_layer + 1\r\n\r\n        error = 0.\r\n        #print(max_layer, parent.sublayer)\r\n        for layer in range(max_layer):\r\n            mlp_out = cache[get_act_name('mlp_out', layer)][0, parent.token]\r\n            tc = transcoders[layer]\r\n            tc_out = tc(cache[tc.cfg.hook_point])[0][0, parent.token]\r\n            error += torch.dot(parent.vector, mlp_out - tc_out).item()\r\n        error_feature = FeatureVector(\r\n            component_path=[parent.component_path[-1], Component(\r\n                layer=parent.layer,\r\n                component_type=ComponentType.TC_ERROR,\r\n                token=parent.token,\r\n            )],\r\n            \r\n            layer = parent.layer,\r\n            sublayer = parent.sublayer,\r\n            vector = None, # TODO: deal with conflicting type annotation\r\n\r\n            contrib = error,\r\n        )\r\n        error_str = error_feature.__str__(show_contrib=False, show_last_token=True, show_full=True)\r\n        new_edges[(error_str, parent_str)] = error\r\n        new_nodes[error_str] = error_feature\r\n\r\n    edges = new_edges\r\n    nodes = new_nodes\r\n\r\n    # next, deal with bias term error\r\n    if do_bias:\r\n        new_edges = { edge: edges[edge] for edge in edges }\r\n        new_nodes = { node_str: nodes[node_str] for node_str in nodes }\r\n        for parent_str in children_dict:\r\n            #print(parent_str)\r\n            parent = nodes[parent_str]\r\n            if parent.component_path[-1].feature_type not in [FeatureType.TRANSCODER]: continue #[FeatureType.TRANSCODER, FeatureType.SAE]\r\n            bias = (-transcoders[parent.layer].W_enc[:, parent.component_path[-1].feature_idx]\\\r\n                @ transcoders[parent.layer].b_dec\\\r\n                + transcoders[parent.layer].b_enc[ parent.component_path[-1].feature_idx]).item()\r\n            \r\n            bias_feature = FeatureVector(\r\n                component_path=[parent.component_path[-1], Component(\r\n                    layer=parent.layer,\r\n                    component_type=ComponentType.BIAS_ERROR,\r\n                    token=parent.token,\r\n                )],\r\n                \r\n                layer = parent.layer,\r\n                sublayer = parent.sublayer,\r\n                vector = None, # TODO: deal with conflicting type annotation\r\n    \r\n                contrib = bias,\r\n            )\r\n            bias_str = bias_feature.__str__(show_contrib=False, show_last_token=True, show_full=True)\r\n            new_edges[(bias_str, parent_str)] = bias\r\n            new_nodes[bias_str] = bias_feature\r\n        \r\n        edges = new_edges\r\n        nodes = new_nodes\r\n\r\n    # next, deal with pruning error\r\n    new_edges = { edge: edges[edge] for edge in edges }\r\n    new_nodes = { node_str: nodes[node_str] for node_str in nodes }\r\n    for parent_str in children_dict:\r\n        edge_contribs = 0.\r\n        for child_str in children_dict[parent_str]:\r\n            edge_contribs += edges[(child_str, parent_str)]\r\n        parent = nodes[parent_str]\r\n        error = parent.contrib - edge_contribs\r\n        error_feature = FeatureVector(\r\n            component_path=[parent.component_path[-1], Component(\r\n                layer=parent.layer,\r\n                component_type=ComponentType.PRUNE_ERROR,\r\n                token=parent.token,\r\n            )],\r\n            \r\n            layer = parent.layer,\r\n            sublayer = parent.sublayer,\r\n            vector = None, # TODO: deal with conflicting type annotation\r\n\r\n            contrib = error,\r\n        )\r\n        error_str = error_feature.__str__(show_contrib=False, show_last_token=True, show_full=True)\r\n        new_edges[(error_str, parent_str)] = error\r\n        new_nodes[error_str] = error_feature\r\n\r\n    return new_edges, new_nodes    \r\n\r\ndef sum_over_tokens(edges, nodes):\r\n    new_edges = collections.defaultdict(int)\r\n    for (child_str, parent_str), score in edges.items():\r\n        new_child_str = nodes[child_str].__str__(show_contrib=False, show_last_token=False, show_full=False)\r\n        new_parent_str = nodes[parent_str].__str__(show_contrib=False, show_last_token=False, show_full=False)\r\n        new_edges[new_child_str, new_parent_str] += score\r\n    \r\n    new_nodes = {}\r\n    for node in nodes.values():\r\n        node_str = node.__str__(show_contrib=False, show_last_token=False, show_full=False)\r\n        try:\r\n            new_nodes[node_str].contrib += node.contrib\r\n        except KeyError:\r\n            new_nodes[node_str] = copy.copy(node)\r\n\r\n    return new_edges, new_nodes\r\n\r\n# graph plotting code\r\n# NOTE: this code doesn't produce the nicest looking graphs\r\n\r\nimport plotly.graph_objs as go\r\nimport collections\r\n\r\ndef layer_to_float(feature):\r\n    layer = feature.layer\r\n    if feature.sublayer == 'resid_mid': layer = layer + 0.5\r\n    if feature.component_path[-1].component_type in [ComponentType.PRUNE_ERROR, ComponentType.BIAS_ERROR, ComponentType.TC_ERROR]:\r\n        layer = layer - 0.25\r\n    return layer\r\n\r\ndef nodes_to_coords(nodes, y_jitter=0.3, y_mult=1.0):\r\n    retdict = {}\r\n    num_nodes_in_xval = collections.defaultdict(int)\r\n    for node_name, feature in nodes.items():\r\n        xval = layer_to_float(feature)\r\n        retdict[node_name] = [xval, num_nodes_in_xval[xval]]\r\n        num_nodes_in_xval[xval] += 1\r\n    for node_name in retdict:\r\n        num_nodes = num_nodes_in_xval[retdict[node_name][0]]\r\n        retdict[node_name][1] = retdict[node_name][1]/(num_nodes-1) if num_nodes != 1 else 0.5\r\n        if num_nodes != 1: \r\n            cur_y_noise = np.random.uniform(0, y_jitter)\r\n            if retdict[node_name][1] > 0.5: cur_y_noise *= -1\r\n            cur_y_noise /= (num_nodes-1)\r\n        else:\r\n            cur_y_noise = np.random.uniform(-y_jitter, y_jitter)\r\n        retdict[node_name][1] += cur_y_noise\r\n        retdict[node_name][1] *= y_mult\r\n    return retdict\r\n\r\ndef get_contribs_in_graph(edges, nodes):\r\n    new_nodes = {}\r\n    for (child_str, parent_str), contrib in edges.items():\r\n        try:\r\n            new_nodes[parent_str].contrib += contrib\r\n        except KeyError:\r\n            new_nodes[parent_str] = copy.copy(nodes[parent_str])\r\n            new_nodes[parent_str].contrib = contrib\r\n\r\n    for node in nodes:\r\n        if node not in new_nodes:\r\n            new_nodes[node] = copy.copy(nodes[node])\r\n\r\n    return new_nodes\r\n\r\ndef plot_graph(edges, nodes, y_mult=1.0, width=800, height=600, arrow_width_multiplier=3.0, only_get_contribs_in_graph=False):\r\n    # TODO: ugly code reuse with feature_dashboard\r\n    def batch_color_interpolate(scores, max_color, zero_color, scores_min=None, scores_max=None):\r\n        if scores_min is None: scores_min = scores.min()\r\n        if scores_max is None: scores_max = scores.max()\r\n        scores_normalized = (scores - scores_min) / (scores_max - scores_min)\r\n        \r\n        max_color_vec = np.array([int(max_color[1:3], 16), int(max_color[3:5], 16), int(max_color[5:7], 16)])\r\n        zero_color_vec = np.array([int(zero_color[1:3], 16), int(zero_color[3:5], 16), int(zero_color[5:7], 16)])\r\n    \r\n        color_vecs = np.einsum('i, j -> ij', scores_normalized, max_color_vec) + np.einsum('i, j -> ij', 1-scores_normalized, zero_color_vec)\r\n        color_strs = [f\"#{int(x[0]):02x}{int(x[1]):02x}{int(x[2]):02x}\" for x in color_vecs]\r\n        return color_strs\r\n\r\n    arrow_widths = np.array(list(edges.values()))\r\n    arrow_widths = 1 + arrow_width_multiplier*(arrow_widths-arrow_widths.min())/(arrow_widths.max()-arrow_widths.min())\r\n\r\n    layout = nodes_to_coords(nodes, y_mult=y_mult)\r\n    colors = batch_color_interpolate(np.array([x.contrib if x.contrib is not None else 0 for x in nodes.values()]), '#22ff22', '#ffffff')\r\n    \r\n    trace = go.Scatter( \r\n        x=[val[0] for val in layout.values()], \r\n        y=[val[1] for val in layout.values()],\r\n        hoverinfo='text',\r\n        hovertext=[f\"{key}<br>Contrib: {val.contrib:.2}\" if val.contrib is not None else f\"{key}\" for key, val in nodes.items()],\r\n        mode='markers',\r\n        marker=dict(size=20, line=dict(width=1, color='Black'), color=colors)\r\n    )\r\n\r\n    trace2 = go.Scatter( \r\n        x=[(layout[edge[0]][0]+layout[edge[1]][0])/2 for edge in edges], \r\n        y=[(layout[edge[0]][1]+layout[edge[1]][1])/2 for edge in edges],\r\n        hoverinfo='text',\r\n        hovertext=[f\"{edge[0]} -> {edge[1]}<br>Contrib: {contrib:.2}\" if contrib is not None else f\"{edge[0]} -> {edge[1]}\" for edge, contrib in edges.items()],\r\n        mode='markers', marker_symbol='square',\r\n        marker=dict(size=5, line=dict(width=1, color='Black'), color='black')\r\n    )\r\n    \r\n    # Plot edges\r\n    # Thank you to https://stackoverflow.com/a/51430912 for the general idea\r\n    x0, y0, x1, y1 = [], [], [], []\r\n    \r\n    for edge in edges:\r\n        x0.append(layout[edge[0]][0])\r\n        y0.append(layout[edge[0]][1])\r\n        x1.append(layout[edge[1]][0])\r\n        y1.append(layout[edge[1]][1])\r\n    \r\n    fig = go.Figure(\r\n        data=[trace, trace2],\r\n        layout=go.Layout(\r\n            autosize=False,\r\n            width=width,\r\n            height=height,\r\n            showlegend=False,\r\n            xaxis_title='Layer',\r\n            annotations = [\r\n                dict(ax=x0[i], ay=y0[i], axref='x', ayref='y',\r\n                    x=x1[i], y=y1[i], xref='x', yref='y',\r\n                    showarrow=True, arrowhead=1, arrowwidth=arrow_widths[i]) for i in range(0, len(x0))\r\n            ],\r\n            yaxis = dict(\r\n                tickmode = 'array',\r\n                tickvals = [],\r\n                ticktext = []\r\n            )\r\n        )\r\n    ) \r\n    fig.show()"
  },
  {
    "path": "transcoder_circuits/feature_dashboards.py",
    "content": "# --- feature scores / feature dashboard functions --- #\r\n\r\nimport numpy as np\r\nimport tqdm\r\nimport torch\r\n\r\nimport matplotlib.pyplot as plt\r\n\r\nfrom IPython.display import HTML\r\nfrom transformer_lens.utils import get_act_name, to_numpy\r\n\r\ndef get_feature_scores(model, encoder, tokens_arr, feature_idx, batch_size=64, act_name='resid_pre', layer=0, use_raw_scores=False, use_decoder=False, feature_post=None, ignore_endoftext=False):\r\n\tact_name = encoder.cfg.hook_point\r\n\tlayer = encoder.cfg.hook_point_layer\r\n\t\t\r\n\tscores = []\r\n\tendoftext_token = model.tokenizer.eos_token \r\n\tfor i in tqdm.tqdm(range(0, tokens_arr.shape[0], batch_size)):\r\n\t\twith torch.no_grad():\r\n\t\t\t_, cache = model.run_with_cache(tokens_arr[i:i+batch_size], stop_at_layer=layer+1, names_filter=[\r\n\t\t\t\tact_name\r\n\t\t\t])\r\n\t\t\tmlp_acts = cache[act_name]\r\n\t\t\tmlp_acts_flattened = mlp_acts.reshape(-1, encoder.W_enc.shape[0])\r\n\t\t\tif feature_post is None:\r\n\t\t\t\tfeature_post = encoder.W_enc[:, feature_idx] if not use_decoder else encoder.W_dec[feature_idx]\r\n\t\t\tbias = -(encoder.b_dec @ feature_post) if use_decoder else encoder.b_enc[feature_idx] - (encoder.b_dec @ feature_post)\r\n\t\t\tif use_raw_scores:\r\n\t\t\t\tcur_scores = (mlp_acts_flattened @ feature_post) + bias\r\n\t\t\telse:\r\n\t\t\t\t_, hidden_acts, _, _, _, _ = encoder(mlp_acts_flattened)\r\n\t\t\t\tcur_scores = hidden_acts[:, feature_idx]\r\n\t\t\tif ignore_endoftext:\r\n\t\t\t\t\tcur_scores[tokens_arr[i:i+batch_size].reshape(-1) == endoftext_token] = -torch.inf\r\n\t\tscores.append(to_numpy(cur_scores.reshape(-1, tokens_arr.shape[1])).astype(np.float16))\r\n\treturn np.concatenate(scores)\r\n\r\n# get indices and values at uniform percentiles of arr\r\ndef sample_percentiles(arr, num_samples):\r\n\tsample_idxs = []\r\n\tsample_vals = []\r\n\t\r\n\tnum_samples = num_samples - 1\r\n\tp_step = 100./num_samples\r\n\t\r\n\tfor p in np.arange(0,100,p_step):\r\n\t\tvalue_at_p = np.percentile(arr.reshape(-1), p, interpolation='nearest')\r\n\t\tp_idx = np.abs(arr-value_at_p).argmin()\r\n\t\t\r\n\t\tsample_vals.append(value_at_p)\r\n\t\tsample_idxs.append(np.unravel_index(p_idx, arr.shape))\r\n\r\n\t# get maximum\r\n\tvalue_at_p = np.max(arr)\r\n\tp_idx = np.abs(arr-value_at_p).argmin()\r\n\r\n\tsample_vals.append(value_at_p)\r\n\tsample_idxs.append(np.unravel_index(p_idx, arr.shape))\r\n\t\r\n\treturn np.array(sample_vals), np.array(sample_idxs)\r\n\r\n# get indices and values uniformly spaced throughout arr\r\ndef sample_uniform(arr, num_samples, unique=True, use_tqdm=False, only_max_range=False):\r\n    sample_idxs = []\r\n    sample_vals = []\r\n\r\n    max_val = np.max(arr)\r\n    if not only_max_range:\r\n        min_val = np.min(arr)\r\n    else:\r\n        min_val = -max_val\r\n\r\n    num_samples = num_samples - 1\r\n    p_step = 1./num_samples\r\n\r\n    func = (lambda x: x) if not use_tqdm else (lambda x: tqdm.tqdm(x))\r\n    \r\n    for p in func(np.arange(0,1,p_step)):\r\n        value_at_p = min_val + p * (max_val - min_val)\r\n        p_idx = np.abs(arr-value_at_p).argmin()\r\n        real_val = arr[np.unravel_index(p_idx, arr.shape)]\r\n        sample_vals.append(real_val)\r\n        sample_idxs.append(np.unravel_index(p_idx, arr.shape))\r\n\r\n    # get maximum\r\n    value_at_p = np.max(arr)\r\n    p_idx = np.abs(arr-value_at_p).argmin()\r\n\r\n    sample_vals.append(value_at_p)\r\n    sample_idxs.append(np.unravel_index(p_idx, arr.shape))\r\n\r\n    sample_vals = np.array(sample_vals)\r\n    sample_idxs = np.array(sample_idxs)\r\n\r\n    if unique:\r\n        sample_vals, sample_pos = np.unique(sample_vals, return_index=True)\r\n        sample_idxs = sample_idxs[sample_pos]\r\n    \r\n    return sample_vals, sample_idxs\r\n\r\nimport html\r\n\r\ndef make_sequence_html(token_strs, scores,\r\n    scores_min=None,\r\n    scores_max=None,\r\n    max_color='#ff8c00',\r\n    zero_color='#ffffff',\r\n    return_head=False,\r\n    cur_token_idx=None,\r\n    window_size=None,\r\n):\r\n    if scores_min is None: scores_min = scores.min()\r\n    if scores_max is None: scores_max = scores.max()\r\n    scores_normalized = (scores-scores_min)/(scores_max-scores_min)\r\n\r\n    if window_size is not None:\r\n        left_idx = np.max([0, cur_token_idx-window_size])\r\n        right_idx = np.min([len(scores), cur_token_idx+window_size])\r\n        scores = scores[left_idx:right_idx]\r\n        scores_normalized = scores_normalized[left_idx:right_idx]\r\n        token_strs = token_strs[left_idx:right_idx]\r\n        cur_token_idx = cur_token_idx - left_idx\r\n\r\n    max_color_vec = np.array([int(max_color[1:3], 16), int(max_color[3:5], 16), int(max_color[5:7], 16)])\r\n    zero_color_vec = np.array([int(zero_color[1:3], 16), int(zero_color[3:5], 16), int(zero_color[5:7], 16)])\r\n\r\n    color_vecs = np.einsum('i, j -> ij', scores_normalized, max_color_vec) + np.einsum('i, j -> ij', 1-scores_normalized, zero_color_vec)\r\n    color_strs = [f\"#{int(x[0]):02x}{int(x[1]):02x}{int(x[2]):02x}\" for x in color_vecs]\r\n\r\n    tokens_html = \"\".join([\r\n        f\"\"\"<span class='token'\r\n            style='background-color: {color_strs[i]}'\r\n            onMouseOver='showTooltip(this)'\r\n            onMouseOut='hideTooltip(this)'>{\"<b>\" if cur_token_idx is not None and i == cur_token_idx else \"\"}{html.escape(token_str)}{\"</b>\" if cur_token_idx is not None and i == cur_token_idx else \"\"}<span class='feature_val'> ({scores[i]:.2f})</span></span>\"\"\"\r\n         for i, token_str in enumerate(token_strs)\r\n    ])\r\n\r\n    if return_head:\r\n        head = \"\"\"\r\n<script>\r\n    function showTooltip(element) {\r\n        feature_val = element.querySelector('.feature_val')\r\n        feature_val.style.display='inline'\r\n    }\r\n\r\n    function hideTooltip(element) {\r\n        feature_val = element.querySelector('.feature_val')\r\n        feature_val.style.display='none'\r\n    }\r\n</script>\r\n<style>\r\n    span.token {\r\n        font-family: monospace;\r\n        \r\n        border-style: solid;\r\n        border-width: 1px;\r\n        border-color: #dddddd;\r\n    }\r\n\r\n    .feature_val {\r\n        display: none;\r\n        font-family: serif;\r\n    }\r\n\r\n    #tooltip {\r\n        display: none;\r\n    }\r\n</style>\r\n\"\"\"\r\n        return head + tokens_html\r\n    else:\r\n        return tokens_html\r\n\r\ndef get_uniform_band_examples(scores, uniform_vals, uniform_idxs, num_bands, band_size, return_percentages=False):\r\n    retlist = []\r\n    \r\n    total_num_exs = num_bands*band_size\r\n    scores_min = scores.min() \r\n    scores_max = scores.max()\r\n    bandwidth = (scores_max-scores_min)/total_num_exs\r\n    denom = 1 if not return_percentages else np.prod(scores.shape)\r\n\r\n    for band in range(0, total_num_exs+band_size, band_size):\r\n        #print(band)\r\n        low_score = scores_min + band*bandwidth\r\n        high_score = scores_min + (band+band_size)*bandwidth\r\n        num_examples_in_band = np.sum(np.logical_and(\r\n            scores > low_score, scores <= high_score\r\n        ))/denom\r\n        retlist.append((low_score, high_score, num_examples_in_band, uniform_idxs[np.logical_and(uniform_vals>=low_score, uniform_vals<=high_score)]))\r\n    return retlist\r\n\r\ndef display_activating_examples_dash(model, all_tokens, scores,\r\n     num_examples=50,\r\n     num_bands=5,\r\n     bandwidth=10,\r\n     return_percentages=True,\r\n     window_size=5,\r\n     header_level=3\r\n    ):\r\n    if type(header_level) is int:\r\n        header_tag = f'h{header_level}'\r\n    else:\r\n        header_tag = 'p'\r\n\r\n    display(HTML(f\"<{header_tag} style='font-family: serif'>Firing frequency: {100*np.sum(scores > 0)/np.prod(scores.shape):.4f}%</{header_tag}>\"))\r\n    uniform_vals, uniform_idxs = sample_uniform(scores, num_examples, unique=True)\r\n    unif_bands = get_uniform_band_examples(scores, uniform_vals, uniform_idxs, num_bands, bandwidth, return_percentages=return_percentages)\r\n    for band in reversed(unif_bands):\r\n        cur_html_list = [f\"<details><summary><{header_tag} style='display: inline; font-family: serif'>Between {band[0]:.2f} and {band[1]:.2f}: {100*band[2]:.4f}%</{header_tag}></summary>\"]\r\n        for example_idx, token_idx in reversed(band[3]):\r\n            cur_html_list.append(\r\n                make_sequence_html(\r\n                    model.to_str_tokens(all_tokens[example_idx]), scores[example_idx],\r\n                    scores_min=scores.min(), scores_max=scores.max(), return_head=True, cur_token_idx=token_idx, window_size=window_size\r\n                ) + f\"<span> Example {example_idx}, token {token_idx}</span>\" + \"<br/>\"\r\n            )\r\n        cur_html_list.append(\"</details>\")\r\n        display(HTML(\"\".join(cur_html_list)))\r\n\r\ndef get_logits_for_feature(model, sae, feature_idx, k=7):\r\n    feature = sae.W_dec[feature_idx]\r\n\r\n    with torch.no_grad():\r\n        most_pos = torch.topk(feature @ model.W_U, k=k)\r\n        most_neg = torch.topk(-feature @ model.W_U, k=k)\r\n    \r\n    top_vals = to_numpy(most_pos.values)\r\n    top_idxs = to_numpy(most_pos.indices)\r\n    top_tokens = model.to_str_tokens(top_idxs)\r\n    \r\n    bot_vals = to_numpy(-most_neg.values)\r\n    bot_idxs = to_numpy(most_neg.indices)\r\n    bot_tokens = model.to_str_tokens(bot_idxs)\r\n\r\n    return zip(top_vals, top_tokens, bot_vals, bot_tokens)\r\n    \r\ndef batch_color_interpolate(scores, max_color, zero_color, scores_min=None, scores_max=None):\r\n    if scores_min is None: scores_min = scores.min()\r\n    if scores_max is None: scores_max = scores.max()\r\n    scores_normalized = (scores - scores_min) / (scores_max - scores_min)\r\n    \r\n    max_color_vec = np.array([int(max_color[1:3], 16), int(max_color[3:5], 16), int(max_color[5:7], 16)])\r\n    zero_color_vec = np.array([int(zero_color[1:3], 16), int(zero_color[3:5], 16), int(zero_color[5:7], 16)])\r\n\r\n    color_vecs = np.einsum('i, j -> ij', scores_normalized, max_color_vec) + np.einsum('i, j -> ij', 1-scores_normalized, zero_color_vec)\r\n    color_strs = [f\"#{int(x[0]):02x}{int(x[1]):02x}{int(x[2]):02x}\" for x in color_vecs]\r\n    return color_strs\r\n\r\ndef display_logits_for_feature(model, sae, feature_idx, k=7):\r\n    logits = list(get_logits_for_feature(model, sae, feature_idx, k=k))\r\n\r\n    table_html = \"\"\"\r\n<style>\r\n    span.token {\r\n        font-family: monospace;\r\n        \r\n        border-style: solid;\r\n        border-width: 1px;\r\n        border-color: #dddddd;\r\n    }\r\n</style>\r\n<table>\r\n    <thead>\r\n        <tr>\r\n            <th colspan=2 style='text-align:center'>Bottom logits</th>\r\n            <th colspan=2 style='text-align:center'>Top logits</th>\r\n        </tr>\r\n    </thead>\r\n    <tbody>\r\n\"\"\"\r\n\r\n    top_scores = np.array([x[0] for x in logits])\r\n    bot_scores = np.array([x[2] for x in logits])\r\n    scores_max = np.max(top_scores)\r\n    scores_min = np.min(bot_scores)\r\n    \r\n    top_color_strs = batch_color_interpolate(top_scores, '#7f7fff', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n    bot_color_strs = batch_color_interpolate(-bot_scores, '#ff7f7f', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n\r\n    for i, (top_val, top_token, bot_val, bot_token) in enumerate(logits):\r\n        row_html =\\\r\nf\"\"\"<tr>\r\n    <td style='text-align:left'><span class='token' style='background-color: {bot_color_strs[i]}'>{html.escape(bot_token).replace(' ', '&nbsp;')}</span></td>\r\n    <td style='text-align:right'>{bot_val:.3f}</td>\r\n    <td style='text-align:left'><span class='token' style='background-color: {top_color_strs[i]}'>{html.escape(top_token).replace(' ', '&nbsp;')}</span></td>\r\n    <td style='text-align:right'>+{top_val:.3f}</td>\r\n</tr>\"\"\"\r\n        table_html = table_html + row_html\r\n    table_html = table_html + \"</tbody></table>\"\r\n    display(HTML(table_html))\r\n\r\n    all_logits = to_numpy(sae.W_dec[feature_idx] @ model.W_U)\r\n\r\n    fig, ax = plt.subplots()\r\n    ax.hist(all_logits[all_logits < 0], color='#ff7f7f')\r\n    ax.hist(all_logits[all_logits > 0], color='#7f7fff')\r\n    fig.set_size_inches(5,2)\r\n    plt.show()\r\n   \r\ndef plot_pulledback_feature(model, feature_vector, transcoder, size=None, do_plot=True,\r\n                            input_tokens=None, input_example=None, input_token_idx=None):\r\n    if size is None: size=(5,3)\r\n    with torch.no_grad():\r\n        pulledback_feature = transcoder.W_dec @ feature_vector.vector\r\n\r\n        if input_example is not None:\r\n            input_layer = transcoder.cfg.hook_point_layer\r\n            if type(input_example) is int and input_tokens is not None:\r\n                prompt = input_tokens[input_example]\r\n            elif type(input_example) is str:\r\n                prompt = input_example\r\n            # TODO: add list support\r\n            _, cache = model.run_with_cache(prompt, stop_at_layer=input_layer+1,\r\n                names_filter=get_act_name(f'normalized{input_layer}ln2', input_layer)\r\n            )\r\n            feature_activs = transcoder(cache[get_act_name(f'normalized{input_layer}ln2', input_layer)])[1][0,input_token_idx]\r\n            pulledback_feature = pulledback_feature * feature_activs\r\n            \r\n    pulledback_feature = to_numpy(pulledback_feature)\r\n\r\n    if do_plot:\r\n        score_max = np.max(np.abs([pulledback_feature.max(), pulledback_feature.min()]))\r\n        score_min = -np.min(np.abs([pulledback_feature.max(), pulledback_feature.min()]))\r\n        colors = batch_color_interpolate(pulledback_feature, '#7f7fff', '#ff7f7f')#, scores_min=score_min, scores_max=score_max)\r\n        \r\n        \r\n        fig, ax = plt.subplots()\r\n        ax.plot(pulledback_feature, alpha=0.5)\r\n        ax.scatter(range(len(pulledback_feature)), pulledback_feature, color=colors)\r\n        fig.set_size_inches(size[0], size[1])\r\n        plt.xlabel(\"Transcoder feature index\")\r\n        plt.ylabel(\"Connection strength\")\r\n        if type(input_example) is int:\r\n            plt.title(f\"Example {input_example} token {input_token_idx}:\\n {str(feature_vector)} from transcoder features\")\r\n        elif type(input_example) is str:\r\n            plt.title(f\"Connections on prompt:\\n {str(feature_vector)} from transcoder features\")\r\n        else:\r\n            plt.title(f\"Input-independent connections:\\n {str(feature_vector)} from transcoder features\")\r\n        plt.show()\r\n    return pulledback_feature\r\n\r\ndef get_transcoder_pullback_features(model, feature_vector, transcoder, k=7, do_plot=True,\r\n    input_tokens=None, input_example=None, input_token_idx=None\r\n):\r\n    pulledback_feature = plot_pulledback_feature(model, feature_vector, transcoder, do_plot=do_plot,\r\n        input_tokens=input_tokens, input_example=input_example, input_token_idx=input_token_idx)\r\n    pulledback_feature = torch.from_numpy(pulledback_feature)\r\n    with torch.no_grad():\r\n        most_pos = torch.topk(pulledback_feature, k=k)\r\n        most_neg = torch.topk(-pulledback_feature, k=k)\r\n    \r\n    top_vals = to_numpy(most_pos.values)\r\n    top_idxs = to_numpy(most_pos.indices)\r\n    \r\n    bot_vals = to_numpy(-most_neg.values)\r\n    bot_idxs = to_numpy(most_neg.indices)\r\n\r\n    return zip(top_vals, top_idxs, bot_vals, bot_idxs)\r\n\r\ndef display_transcoder_pullback_features(model, feature_vector, transcoder, k=7,\r\n    input_tokens=None, input_example=None, input_token_idx=None\r\n):\r\n    logits = list(get_transcoder_pullback_features(model, feature_vector, transcoder, k=k,\r\n        input_tokens=input_tokens, input_example=input_example, input_token_idx=input_token_idx)\r\n    )\r\n\r\n    table_html = \"\"\"\r\n<style>\r\n    span.token {\r\n        font-family: monospace;\r\n        \r\n        border-style: solid;\r\n        border-width: 1px;\r\n        border-color: #dddddd;\r\n    }\r\n</style>\r\n<table>\r\n    <thead>\r\n        <tr>\r\n            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\r\n            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\r\n        </tr>\r\n    </thead>\r\n    <tbody>\r\n\"\"\"\r\n\r\n    top_scores = np.array([x[0] for x in logits])\r\n    bot_scores = np.array([x[2] for x in logits])\r\n    scores_max = np.max(top_scores)\r\n    scores_min = np.min(bot_scores)\r\n    \r\n    top_color_strs = batch_color_interpolate(top_scores, '#7f7fff', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n    bot_color_strs = batch_color_interpolate(-bot_scores, '#ff7f7f', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n\r\n    for i, (top_val, top_idx, bot_val, bot_idx) in enumerate(logits):\r\n        row_html =\\\r\nf\"\"\"<tr>\r\n    <td style='text-align:left'><span class='token' style='background-color: {bot_color_strs[i]}'>{bot_idx}</span></td>\r\n    <td style='text-align:right'>{bot_val:.3f}</td>\r\n    <td style='text-align:left'><span class='token' style='background-color: {top_color_strs[i]}'>{top_idx}</span></td>\r\n    <td style='text-align:right'>+{top_val:.3f}</td>\r\n</tr>\"\"\"\r\n        table_html = table_html + row_html\r\n    table_html = table_html + \"</tbody></table>\"\r\n    display(HTML(table_html))\r\n\r\ndef get_ov_norms_for_transcoder_feature(model, transcoder, feature_idx, layer=None):\r\n    with torch.no_grad():\r\n        propagated_vecs = torch.einsum('lhio,o->lhi', model.OV.AB, transcoder.W_enc[:, feature_idx])\r\n        if layer is not None:\r\n            propagated_vecs = propagated_vecs[:layer+1]\r\n        ov_norms = propagated_vecs.norm(dim=-1)\r\n        \r\n        fig, ax = plt.subplots()\r\n        mat = ax.matshow(to_numpy(ov_norms), cmap='Reds', vmin=0)\r\n        fig.colorbar(mat, location=\"bottom\")\r\n        ax.set_yticks(range(ov_norms.shape[0]))\r\n        ax.set_xlabel(\"Attention head\")\r\n        ax.set_ylabel(\"Layer\")\r\n        fig.set_size_inches(5,3)\r\n        ax.set_title(f\"OV de-embedding norms for transcoder feature {feature_idx}\", fontsize=10)\r\n        plt.show()\r\n\r\n    return ov_norms\r\n\r\ndef get_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, attn_head=None, attn_layer=0, k=7):\r\n    with torch.no_grad():\r\n        if attn_head is not None:\r\n            pulledback_feature = model.W_E @ model.OV.AB[attn_layer, attn_head] @ transcoder.W_enc[:, feature_idx]\r\n        else:\r\n            pulledback_feature = model.W_E @ transcoder.W_enc[:, feature_idx]\r\n        if k == 0:\r\n            return to_numpy(pulledback_feature)\r\n        else:\r\n            most_pos = torch.topk(pulledback_feature, k=k)\r\n            most_neg = torch.topk(-pulledback_feature, k=k)\r\n    \r\n            top_vals = to_numpy(most_pos.values)\r\n            top_idxs = to_numpy(most_pos.indices)\r\n            top_tokens = model.to_str_tokens(top_idxs)\r\n            \r\n            bot_vals = to_numpy(-most_neg.values)\r\n            bot_idxs = to_numpy(most_neg.indices)\r\n            bot_tokens = model.to_str_tokens(bot_idxs)\r\n\r\n            return to_numpy(pulledback_feature), zip(top_vals, top_tokens, bot_vals, bot_tokens)\r\n\r\ndef get_deembeddings_for_feature_vector(model, feature_vector, k=7):\r\n    with torch.no_grad():\r\n        pulledback_feature = model.W_E @ feature_vector.vector\r\n        if k == 0:\r\n            return to_numpy(pulledback_feature)\r\n        else:\r\n            most_pos = torch.topk(pulledback_feature, k=k)\r\n            most_neg = torch.topk(-pulledback_feature, k=k)\r\n    \r\n            top_vals = to_numpy(most_pos.values)\r\n            top_idxs = to_numpy(most_pos.indices)\r\n            top_tokens = model.to_str_tokens(top_idxs)\r\n            \r\n            bot_vals = to_numpy(-most_neg.values)\r\n            bot_idxs = to_numpy(most_neg.indices)\r\n            bot_tokens = model.to_str_tokens(bot_idxs)\r\n\r\n            return to_numpy(pulledback_feature), zip(top_vals, top_tokens, bot_vals, bot_tokens)\r\n\r\ndef plot_deembedding_for_transcoder_feature(model, transcoder, feature_idx, attn_head=None, attn_layer=0):\r\n    pulledback_feature = get_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, attn_head=attn_head, attn_layer=attn_layer, k=0)\r\n    \r\n    score_max = np.max(np.abs([pulledback_feature.max(), pulledback_feature.min()]))\r\n    score_min = -np.min(np.abs([pulledback_feature.max(), pulledback_feature.min()]))\r\n    colors = batch_color_interpolate(pulledback_feature, '#7f7fff', '#ff7f7f')#, scores_min=score_min, scores_max=score_max)\r\n    \r\n    fig, ax = plt.subplots()\r\n    ax.plot(pulledback_feature, alpha=0.5)\r\n    ax.scatter(range(len(pulledback_feature)), pulledback_feature, color=colors)\r\n    fig.set_size_inches(4,2)\r\n    plt.xlabel(\"Token index\")\r\n    plt.ylabel(\"Connection strength\")\r\n    plt.show()\r\n\r\ndef display_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, attn_head=None, attn_layer=0, k=7):\r\n    pulledback_feature, deembeddings = get_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, attn_head=attn_head, attn_layer=attn_layer, k=k)\r\n    deembeddings = list(deembeddings)\r\n\r\n    table_html = \"\"\"\r\n<style>\r\n    span.token {\r\n        font-family: monospace;\r\n        \r\n        border-style: solid;\r\n        border-width: 1px;\r\n        border-color: #dddddd;\r\n    }\r\n</style>\"\"\"f\"\"\"\r\n<b>{\"Direct path\" if attn_head is None else f\"Attention head {attn_head}\"}</b>\r\n<table>\r\n    <thead>\r\n        <tr>\r\n            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\r\n            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\r\n        </tr>\r\n    </thead>\r\n    <tbody>\r\n\"\"\"\r\n\r\n    top_scores = np.array([x[0] for x in deembeddings])\r\n    bot_scores = np.array([x[2] for x in deembeddings])\r\n    scores_max = np.max(top_scores)\r\n    scores_min = np.min(bot_scores)\r\n    \r\n    top_color_strs = batch_color_interpolate(top_scores, '#7f7fff', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n    bot_color_strs = batch_color_interpolate(-bot_scores, '#ff7f7f', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n\r\n    for i, (top_val, top_token, bot_val, bot_token) in enumerate(deembeddings):\r\n        row_html =\\\r\nf\"\"\"<tr>\r\n    <td style='text-align:left'><span class='token' style='background-color: {bot_color_strs[i]}'>{html.escape(bot_token).replace(\" \", \"&nbsp;\")}</span></td>\r\n    <td style='text-align:right'>{bot_val:.3f}</td>\r\n    <td style='text-align:left'><span class='token' style='background-color: {top_color_strs[i]}'>{html.escape(top_token).replace(\" \", \"&nbsp;\")}</span></td>\r\n    <td style='text-align:right'>+{top_val:.3f}</td>\r\n</tr>\"\"\"\r\n        table_html = table_html + row_html\r\n    table_html = table_html + \"</tbody></table>\"\r\n    display(HTML(table_html))\r\n\r\ndef display_deembeddings_for_feature_vector(model, feature_vector, k=7):\r\n    pulledback_feature, deembeddings = get_deembeddings_for_feature_vector(model, feature_vector, k=k)\r\n    deembeddings = list(deembeddings)\r\n\r\n    table_html = \"\"\"\r\n<style>\r\n    span.token {\r\n        font-family: monospace;\r\n        \r\n        border-style: solid;\r\n        border-width: 1px;\r\n        border-color: #dddddd;\r\n    }\r\n</style>\"\"\"f\"\"\"\r\n<b>{str(feature_vector)}</b>\r\n<table>\r\n    <thead>\r\n        <tr>\r\n            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\r\n            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\r\n        </tr>\r\n    </thead>\r\n    <tbody>\r\n\"\"\"\r\n\r\n    top_scores = np.array([x[0] for x in deembeddings])\r\n    bot_scores = np.array([x[2] for x in deembeddings])\r\n    scores_max = np.max(top_scores)\r\n    scores_min = np.min(bot_scores)\r\n    \r\n    top_color_strs = batch_color_interpolate(top_scores, '#7f7fff', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n    bot_color_strs = batch_color_interpolate(-bot_scores, '#ff7f7f', '#ffffff', scores_min=scores_min, scores_max=scores_max)\r\n\r\n    for i, (top_val, top_token, bot_val, bot_token) in enumerate(deembeddings):\r\n        row_html =\\\r\nf\"\"\"<tr>\r\n    <td style='text-align:left'><span class='token' style='background-color: {bot_color_strs[i]}'>{html.escape(bot_token).replace(\" \", \"&nbsp;\")}</span></td>\r\n    <td style='text-align:right'>{bot_val:.3f}</td>\r\n    <td style='text-align:left'><span class='token' style='background-color: {top_color_strs[i]}'>{html.escape(top_token).replace(\" \", \"&nbsp;\")}</span></td>\r\n    <td style='text-align:right'>+{top_val:.3f}</td>\r\n</tr>\"\"\"\r\n        table_html = table_html + row_html\r\n    table_html = table_html + \"</tbody></table>\"\r\n    display(HTML(table_html))\r\n\r\ndef display_analysis_for_transcoder_feature(model, transcoder, feature_idx, attn_k=2, k=8, layer=None):\r\n    display(HTML(f\"<h3>Transcoder feature {feature_idx}</h3>\"))\r\n    display_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, k=k)\r\n    plot_deembedding_for_transcoder_feature(model, transcoder, feature_idx)\r\n    \r\n    display(HTML(f\"<h4>OV circuits</h4>\"))\r\n    ov_norms = get_ov_norms_for_transcoder_feature(model, transcoder, feature_idx, layer=layer)\r\n    top_ov_norms, top_ov_heads_flattened = torch.topk(ov_norms.flatten(), k=attn_k)\r\n    top_ov_indices = np.array(np.unravel_index(to_numpy(top_ov_heads_flattened), ov_norms.shape)).T        \r\n\r\n    colors = batch_color_interpolate(to_numpy(top_ov_norms), '#ff7f7f', '#ffffff', scores_min=0, scores_max=top_ov_norms.max().item())\r\n    table_html = f\"\"\"<h4>Top {top_ov_indices.shape[0]} attention heads by OV circuit norm</h4>\r\n    <table>\r\n        <thead>\r\n            <tr>\r\n                <th style='text-align:center'>Layer</th>\r\n                <th style='text-align:center'>Head</th>\r\n                <th style='text-align:center'>Norm</th>\r\n            </tr>\r\n        </thead>\r\n        <tbody>\r\n            { \"\".join(f\"<tr style='background-color: {color}'><td>{layer}</td><td>{head}</td><td>{norm:.2f}</td>\" for (layer, head), norm, color in zip(top_ov_indices, top_ov_norms, colors))}\r\n        </tbody>\r\n    \"\"\"\r\n    display(HTML(table_html))\r\n\r\n    for cur_layer, head in top_ov_indices:\r\n        display_deembeddings_for_transcoder_feature(model, transcoder, feature_idx, attn_head=head, attn_layer=cur_layer)\r\n        plot_deembedding_for_transcoder_feature(model, transcoder, feature_idx, attn_head=head, attn_layer=cur_layer)"
  },
  {
    "path": "transcoder_circuits/replacement_ctx.py",
    "content": "# --- context manager for replacing MLP sublayers with transcoders ---\r\nimport torch\r\n\r\nclass TranscoderWrapper(torch.nn.Module):\r\n    def __init__(self, transcoder):\r\n        super().__init__()\r\n        self.transcoder = transcoder\r\n    def forward(self, x):\r\n        return self.transcoder(x)[0]\r\n\r\nclass TranscoderReplacementContext:\r\n    def __init__(self, model, transcoders):\r\n        self.layers = [t.cfg.hook_point_layer for t in transcoders]\r\n        self.original_mlps = [ model.blocks[i].mlp for i in self.layers ]\r\n        \r\n        self.transcoders = transcoders\r\n        #self.layers = layers\r\n        self.model = model\r\n    \r\n    def __enter__(self):\r\n        for transcoder in self.transcoders:\r\n           self.model.blocks[transcoder.cfg.hook_point_layer].mlp = TranscoderWrapper(transcoder)\r\n\r\n    def __exit__(self, exc_type, exc_value, exc_tb):\r\n        for layer, mlp in zip(self.layers, self.original_mlps):\r\n            self.model.blocks[layer].mlp = mlp\r\n\r\nclass ZeroAblationWrapper(torch.nn.Module):\r\n    def __init__(self):\r\n        super().__init__()\r\n    def forward(self, x):\r\n        return x*0.0\r\n\r\nclass ZeroAblationContext:\r\n    def __init__(self, model, layers):\r\n        self.original_mlps = [ model.blocks[i].mlp for i in layers ]\r\n        \r\n        self.layers = layers\r\n        self.model = model\r\n    \r\n    def __enter__(self):\r\n        for layer in self.layers:\r\n           self.model.blocks[layer].mlp = ZeroAblationWrapper()\r\n\r\n    def __exit__(self, exc_type, exc_value, exc_tb):\r\n        for layer, mlp in zip(self.layers, self.original_mlps):\r\n            self.model.blocks[layer].mlp = mlp"
  },
  {
    "path": "walkthrough.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6e3fe139-9140-487a-82d6-1b2efab1b269\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Analyzing LLM circuits with transcoders!\\n\",\n    \"\\n\",\n    \"This notebook will show you how you can use transcoders in order to interpretably analyze circuits in large language models.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e096e8e5-3bba-456b-ab84-4571aea3690f\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Setup\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"fbca408f-ffa1-4752-885a-9c327d9c2cc8\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, install required packages and download the transcoders.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"41d4a518-eec7-4b9e-b2cb-788f10cc5cac\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"try:\\n\",\n    \"    import google.colab\\n\",\n    \"    IN_COLAB = True\\n\",\n    \"    print(\\\"Running as a Colab notebook\\\")\\n\",\n    \"except:\\n\",\n    \"    IN_COLAB = False\\n\",\n    \"\\n\",\n    \"# install the rest of our repository if we're running as a colab notebook\\n\",\n    \"if IN_COLAB:\\n\",\n    \"    ! git clone https://github.com/jacobdunefsky/transcoder_circuits.git\\n\",\n    \"    ! mv transcoder_circuits transcoder_circuits_tmp\\n\",\n    \"    ! mv transcoder_circuits_tmp/* . \\n\",\n    \"\\n\",\n    \"# install packages and download transcoders\\n\",\n    \"! bash setup.sh  \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9da60e4b-f27d-41eb-bd42-736e6231092c\",\n   \"metadata\": {},\n   \"source\": [\n    \"Next, import the circuit analysis code.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"2bd1544d-2ea4-472a-8446-864fb872b993\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from transcoder_circuits.circuit_analysis import *\\n\",\n    \"from transcoder_circuits.feature_dashboards import *\\n\",\n    \"from transcoder_circuits.replacement_ctx import *\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3cf48a63-5aad-4ba3-ab08-b8d36397998c\",\n   \"metadata\": {},\n   \"source\": [\n    \"Now, import the SAE/transcoder code, along with the model that we'll be analyzing (GPT2-small).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"587bb6de-8af2-4d23-bffe-095b76389a3f\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from sae_training.sparse_autoencoder import SparseAutoencoder\\n\",\n    \"from transformer_lens import HookedTransformer, utils\\n\",\n    \"model = HookedTransformer.from_pretrained('gpt2')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1970b171-f1bf-44ff-a850-28ab3f5ad395\",\n   \"metadata\": {\n    \"id\": \"N3D_0qDmBY5K\"\n   },\n   \"source\": [\n    \"Now, load in a corpus of text that we'll use for our analysis. We'll be drawing from OpenWebText, which is similar to the dataset on which GPT2-small was trained.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"id\": \"eb24f806-aca2-441f-9e11-8de389bbeb90\",\n   \"metadata\": {\n    \"jupyter\": {\n     \"source_hidden\": true\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# This function was stolen from one of Neel Nanda's exploratory notebooks\\n\",\n    \"# Thanks, Neel!\\n\",\n    \"import einops\\n\",\n    \"def tokenize_and_concatenate(\\n\",\n    \"    dataset,\\n\",\n    \"    tokenizer,\\n\",\n    \"    streaming = False,\\n\",\n    \"    max_length = 1024,\\n\",\n    \"    column_name = \\\"text\\\",\\n\",\n    \"    add_bos_token = True,\\n\",\n    \"):\\n\",\n    \"    \\\"\\\"\\\"Helper function to tokenizer and concatenate a dataset of text. This converts the text to tokens, concatenates them (separated by EOS tokens) and then reshapes them into a 2D array of shape (____, sequence_length), dropping the last batch. Tokenizers are much faster if parallelised, so we chop the string into 20, feed it into the tokenizer, in parallel with padding, then remove padding at the end.\\n\",\n    \"\\n\",\n    \"    This tokenization is useful for training language models, as it allows us to efficiently train on a large corpus of text of varying lengths (without, eg, a lot of truncation or padding). Further, for models with absolute positional encodings, this avoids privileging early tokens (eg, news articles often begin with CNN, and models may learn to use early positional encodings to predict these)\\n\",\n    \"\\n\",\n    \"    Args:\\n\",\n    \"        dataset (Dataset): The dataset to tokenize, assumed to be a HuggingFace text dataset.\\n\",\n    \"        tokenizer (AutoTokenizer): The tokenizer. Assumed to have a bos_token_id and an eos_token_id.\\n\",\n    \"        streaming (bool, optional): Whether the dataset is being streamed. If True, avoids using parallelism. Defaults to False.\\n\",\n    \"        max_length (int, optional): The length of the context window of the sequence. Defaults to 1024.\\n\",\n    \"        column_name (str, optional): The name of the text column in the dataset. Defaults to 'text'.\\n\",\n    \"        add_bos_token (bool, optional): . Defaults to True.\\n\",\n    \"\\n\",\n    \"    Returns:\\n\",\n    \"        Dataset: Returns the tokenized dataset, as a dataset of tensors, with a single column called \\\"tokens\\\"\\n\",\n    \"\\n\",\n    \"    Note: There is a bug when inputting very small datasets (eg, <1 batch per process) where it just outputs nothing. I'm not super sure why\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    for key in dataset.features:\\n\",\n    \"        if key != column_name:\\n\",\n    \"            dataset = dataset.remove_columns(key)\\n\",\n    \"\\n\",\n    \"    if tokenizer.pad_token is None:\\n\",\n    \"        # We add a padding token, purely to implement the tokenizer. This will be removed before inputting tokens to the model, so we do not need to increment d_vocab in the model.\\n\",\n    \"        tokenizer.add_special_tokens({\\\"pad_token\\\": \\\"<PAD>\\\"})\\n\",\n    \"    # Define the length to chop things up into - leaving space for a bos_token if required\\n\",\n    \"    if add_bos_token:\\n\",\n    \"        seq_len = max_length - 1\\n\",\n    \"    else:\\n\",\n    \"        seq_len = max_length\\n\",\n    \"\\n\",\n    \"    def tokenize_function(examples):\\n\",\n    \"        text = examples[column_name]\\n\",\n    \"        # Concatenate it all into an enormous string, separated by eos_tokens\\n\",\n    \"        full_text = tokenizer.eos_token.join(text)\\n\",\n    \"        # Divide into 20 chunks of ~ equal length\\n\",\n    \"        num_chunks = 20\\n\",\n    \"        chunk_length = (len(full_text) - 1) // num_chunks + 1\\n\",\n    \"        chunks = [\\n\",\n    \"            full_text[i * chunk_length : (i + 1) * chunk_length]\\n\",\n    \"            for i in range(num_chunks)\\n\",\n    \"        ]\\n\",\n    \"        # Tokenize the chunks in parallel. Uses NumPy because HuggingFace map doesn't want tensors returned\\n\",\n    \"        tokens = tokenizer(chunks, return_tensors=\\\"np\\\", padding=True)[\\n\",\n    \"            \\\"input_ids\\\"\\n\",\n    \"        ].flatten()\\n\",\n    \"        # Drop padding tokens\\n\",\n    \"        tokens = tokens[tokens != tokenizer.pad_token_id]\\n\",\n    \"        num_tokens = len(tokens)\\n\",\n    \"        num_batches = num_tokens // (seq_len)\\n\",\n    \"        # Drop the final tokens if not enough to make a full sequence\\n\",\n    \"        tokens = tokens[: seq_len * num_batches]\\n\",\n    \"        tokens = einops.rearrange(\\n\",\n    \"            tokens, \\\"(batch seq) -> batch seq\\\", batch=num_batches, seq=seq_len\\n\",\n    \"        )\\n\",\n    \"        if add_bos_token:\\n\",\n    \"            prefix = np.full((num_batches, 1), tokenizer.bos_token_id)\\n\",\n    \"            tokens = np.concatenate([prefix, tokens], axis=1)\\n\",\n    \"        return {\\\"tokens\\\": tokens}\\n\",\n    \"\\n\",\n    \"    tokenized_dataset = dataset.map(\\n\",\n    \"        tokenize_function,\\n\",\n    \"        batched=True,\\n\",\n    \"        remove_columns=[column_name],\\n\",\n    \"    )\\n\",\n    \"    #tokenized_dataset.set_format(type=\\\"torch\\\", columns=[\\\"tokens\\\"])\\n\",\n    \"    return tokenized_dataset\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"id\": \"d5bf917d-7bed-4a8a-99d1-284a6a5bda78\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Token indices sequence length is longer than the specified maximum sequence length for this model (73252 > 1024). Running this sequence through the model will result in indexing errors\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"from datasets import load_dataset\\n\",\n    \"from huggingface_hub import HfApi\\n\",\n    \"\\n\",\n    \"dataset = load_dataset('Skylion007/openwebtext', split='train', streaming=True)\\n\",\n    \"dataset = dataset.shuffle(seed=42, buffer_size=10_000)\\n\",\n    \"tokenized_owt = tokenize_and_concatenate(dataset, model.tokenizer, max_length=128, streaming=True)\\n\",\n    \"tokenized_owt = tokenized_owt.shuffle(42)\\n\",\n    \"tokenized_owt = tokenized_owt.take(12800*2)\\n\",\n    \"owt_tokens = np.stack([x['tokens'] for x in tokenized_owt])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"id\": \"ba288f88-eab1-4eac-b49d-1da315133f50\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"owt_tokens_torch = torch.from_numpy(owt_tokens).cuda()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bc2be509-381b-4fac-9d1d-c4f3124867a9\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Basic transcoder investigation\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"1ffad5aa-0f2b-4d14-86cb-212cca3f2897\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, let's load all of our transcoders (one for each layer of GPT2-small except for the last one)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"id\": \"fbe4bcef-b637-4689-8390-db66f2285567\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"transcoder_template = \\\"./gpt-2-small-transcoders/final_sparse_autoencoder_gpt2-small_blocks.{}.ln2.hook_normalized_24576\\\"\\n\",\n    \"transcoders = []\\n\",\n    \"frequencies = []\\n\",\n    \"for i in range(11):\\n\",\n    \"    transcoders.append(SparseAutoencoder.load_from_pretrained(f\\\"{transcoder_template.format(i)}.pt\\\").eval())\\n\",\n    \"    frequencies.append(torch.load(f\\\"{transcoder_template.format(i)}_log_feature_sparsity.pt\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"id\": \"42c3b43d-197d-4ed7-8e91-58c34ccfae4c\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# Clean up memory\\n\",\n    \"import gc\\n\",\n    \"gc.collect()\\n\",\n    \"torch.cuda.empty_cache()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"d458ffd7-dc4c-440a-8f02-bc8517225984\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Get live features for the Layer 8 transcoder\\n\",\n    \"\\n\",\n    \"In this notebook, we'll be using the Layer 8 transcoder in particular during our examples. (This layer was just chosen because it's decently late enough in the network that it should capture some abstract concepts that might be interesting.)\\n\",\n    \"\\n\",\n    \"The first step is to get the set of live features in this transcoder. (Live features are defined as features that fire more than once every 10k tokens.)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"a51cab78-5ea3-4766-bdca-3af7cf6c2171\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.hist(utils.to_numpy(frequencies[8]), bins=100)\\n\",\n    \"plt.xlabel(\\\"Log10 feature firing frequency\\\")\\n\",\n    \"plt.ylabel(\\\"Number of features\\\")\\n\",\n    \"plt.title(\\\"Transcoder 8 feature frequency\\\")\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"eb1b71a9-9b46-4efa-a80f-cbc3f0750df8\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"live_features = np.arange(len(frequencies[8]))[utils.to_numpy(frequencies[8] > -4)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"id\": \"288ccde1-64a1-486c-a6ce-263abd30f7e8\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 12, 13, 14, 15, 16, 17, 18,\\n\",\n       \"       19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36,\\n\",\n       \"       37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55])\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"live_features[:50]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ab62a491-7d36-4b17-8077-83760a0721e2\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Top activating examples for a feature\\n\",\n    \"\\n\",\n    \"What examples cause a given transcoder feature to activate most strongly? Let's look at the zeroth live transcoder feature for our layer 8 transcoder.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"id\": \"ae8792d1-997a-46a2-bea9-4eba62860926\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [00:55<00:00,  3.64it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<h3 style='font-family: serif'>Firing frequency: 0.0184%</h3>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 17.42 and 20.91: 0.0000%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> give<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Notre<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Dame<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (17.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lead<span class='feature_val'> (1.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> senior<span class='feature_val'> (0.00)</span></span><span> Example 22596, token 119</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 13.94 and 17.42: 0.0001%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> give<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Notre<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Dame<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (17.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lead<span class='feature_val'> (1.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> senior<span class='feature_val'> (0.00)</span></span><span> Example 22596, token 119</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> New<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> York<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> capture<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9e28'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (14.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffead2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> division<span class='feature_val'> (3.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff1e0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> title<span class='feature_val'> (2.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1997<span class='feature_val'> (0.00)</span></span><span> Example 13567, token 75</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 10.45 and 13.94: 0.0005%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> added<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 13<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rebounds<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa334'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (13.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1bc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> career<span class='feature_val'> (4.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> double<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>double<span class='feature_val'> (0.00)</span></span><span> Example 7009, token 54</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>real<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ish<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> scores<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Villa<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa63a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (13.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> goal<span class='feature_val'> (0.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> against<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Leicester<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> -<span class='feature_val'> (0.00)</span></span><span> Example 600, token 68</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> win<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> bringing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> franchise<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa73c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (13.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefdfc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> championship<span class='feature_val'> (0.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 108<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> years<span class='feature_val'> (0.00)</span></span><span> Example 9957, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> making<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffab45'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (12.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> appearance<span class='feature_val'> (2.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 9872, token 117</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pro<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>pelling<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> them<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffad49'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (12.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> World<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Series<span class='feature_val'> (1.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> victory<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span> Example 16578, token 17</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ussia<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Dortmund<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (12.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> UEFA<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Champions<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> League<span class='feature_val'> (1.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Final<span class='feature_val'> (0.92)</span></span><span> Example 2063, token 99</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Wellington<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> leg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> winning<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb051'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (11.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Group<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> D<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> matches<span class='feature_val'> (0.00)</span></span><span> Example 8908, token 100</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rookie<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> making<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb357'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (11.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> NFL<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> start<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> last<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> September<span class='feature_val'> (0.00)</span></span><span> Example 8584, token 18</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ton<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> making<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> just<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (10.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef9f2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> start<span class='feature_val'> (0.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> three<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> years<span class='feature_val'> (0.00)</span></span><span> Example 25220, token 95</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> season<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> earning<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb761'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (10.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pro<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bowl<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> selection<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span> Example 18232, token 61</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 6.97 and 10.45: 0.0011%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>handed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> dart<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbb69'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> fourth</b><span class='feature_val'> (10.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffdfc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> goal<span class='feature_val'> (0.20)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> game<span class='feature_val'> (0.00)</span></span><span> Example 22462, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> them<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> they<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> got<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (9.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> commitment<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2018<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span> Example 5490, token 17</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Manning<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (9.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> touchdown<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> day<span class='feature_val'> (0.00)</span></span><span> Example 9918, token 89</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> draft<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> makes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (9.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> appearance<span class='feature_val'> (0.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> list<span class='feature_val'> (0.00)</span></span><span> Example 11613, token 29</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> last<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> week<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> caught<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc37b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (8.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> touchdown<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> many<span class='feature_val'> (0.00)</span></span><span> Example 8384, token 68</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>8<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> LSU<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lost<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc783'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (8.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Saturday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> night<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> game<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span> Example 18527, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Detroit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> scored<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc886'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (8.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 13<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> points<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> turning<span class='feature_val'> (0.00)</span></span><span> Example 984, token 60</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> teammates<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> third</b><span class='feature_val'> (7.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> B<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>CS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> National<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Championship<span class='feature_val'> (0.00)</span></span><span> Example 4775, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> inning<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> It<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecd90'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (7.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> homer<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pro<span class='feature_val'> (0.00)</span></span><span> Example 10802, token 36</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> chart<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> scored<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcfa'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 213<span class='feature_val'> (0.32)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecf96'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>th</b><span class='feature_val'> (7.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> try<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> against<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Argentina<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span> Example 9106, token 78</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 3.48 and 6.97: 0.0041%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Ar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>mo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>za<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> made<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (6.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sale<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> format<span class='feature_val'> (0.00)</span></span><span> Example 23627, token 122</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> done<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> enough<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> win<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (6.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> MVP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> award<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PRESS<span class='feature_val'> (0.00)</span></span><span> Example 17916, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> time<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> got<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> my<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed7a7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (5.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 300<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> b<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aud<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> dial<span class='feature_val'> (0.00)</span></span><span> Example 14847, token 18</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Before<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> attending<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (5.71)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> summit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> eurozone<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> finance<span class='feature_val'> (0.00)</span></span><span> Example 3842, token 95</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> gave<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> much<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> America<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (5.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> look<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Yiannopoulos<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 6778, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Canucks<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> won<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (4.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Thursday<span class='feature_val'> (0.00)</span></span><span> Example 14775, token 15</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> way<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> into<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Marco<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Silva<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (4.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>team<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plans<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 8373, token 91</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reeling<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Falcons<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (4.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> passes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 9630, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>vin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Benjamin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> miss<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> second</b><span class='feature_val'> (3.91)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> straight<span class='feature_val'> (0.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> game<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 10102, token 57</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>v<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aney<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7cb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (3.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> budget<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> director<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Saturday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> morning<span class='feature_val'> (0.00)</span></span><span> Example 4724, token 106</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 0.00 and 3.48: 0.0127%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> way<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> unprecedented<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 21<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>st</b><span class='feature_val'> (3.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> FA<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cup<span class='feature_val'> (0.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> final<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 16329, token 74</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Raiders<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> struck<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (2.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> game<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 10387, token 118</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>kus<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>en<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (2.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lines<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span> Example 8140, token 124</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Europe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> attempts<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> make<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (2.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ever<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> landing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span> Example 24816, token 20</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> playoffs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> first<span class='feature_val'> (3.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> time</b><span class='feature_val'> (1.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2009<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 13074, token 17</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> North<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> could<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> conduct<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> third</b><span class='feature_val'> (1.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> nuclear<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> test<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> within<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 12442, token 45</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> want<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> give<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> last</b><span class='feature_val'> (1.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> name<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> left<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span> Example 19705, token 95</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> jammed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fired<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> first</b><span class='feature_val'> (0.71)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> shot<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 15119, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Declaration<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1917<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>First</b><span class='feature_val'> (0.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Published<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> October<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 22<span class='feature_val'> (0.00)</span></span><span> Example 20862, token 116</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[0] # get zeroth live feature\\n\",\n    \"\\n\",\n    \"# get feature activation scores\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch, feature_idx, batch_size=128)\\n\",\n    \"# what's happening in the above line of code?\\n\",\n    \"# owt_tokens_torch: our dataset of OpenWebText tokens\\n\",\n    \"# batch_size: how many inputs to process at once\\n\",\n    \"\\n\",\n    \"# display top activating examples\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bfab8840-a86e-418e-8225-c66776a3311c\",\n   \"metadata\": {},\n   \"source\": [\n    \"You can also use `get_feature_scores()` on an individual prompt.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"id\": \"c84ce310-06c0-4ee5-89fd-63c986777f94\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 33.48it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    0.    3.105 0.    0.   ]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 38.81it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.   0.   0.   0.   0.   2.83 0.   0.   0.   0.  ]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 39.98it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[ 0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\\n\",\n      \"  13.78]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(get_feature_scores(model, transcoders[8], model.tokenizer(\\n\",\n    \"    \\\"This was the defenseman's first championship win\\\",\\n\",\n    \"return_tensors='pt').input_ids, feature_idx))\\n\",\n    \"\\n\",\n    \"print(get_feature_scores(model, transcoders[8], model.tokenizer(\\n\",\n    \"    \\\"This was the rookie's first goal of the season\\\",\\n\",\n    \"return_tensors='pt').input_ids, feature_idx))\\n\",\n    \"\\n\",\n    \"print(get_feature_scores(model, transcoders[8], model.tokenizer(\\n\",\n    \"    \\\"After last night's game, the Cubs have finally gotten their first\\\",\\n\",\n    \"return_tensors='pt').input_ids, feature_idx))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"id\": \"c96b719f-d0df-4165-bf27-b1c7d46fff91\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"torch.return_types.topk(\\n\",\n       \"values=tensor([8.3952, 5.6487, 4.7196, 4.6002, 4.4256], device='cuda:0',\\n\",\n       \"       grad_fn=<TopkBackward0>),\\n\",\n       \"indices=tensor([ 7937, 16082,  2095, 13222, 16399], device='cuda:0'))\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"_, cache = model.run_with_cache(\\\"Hello, world!\\\") # \\\"model\\\" is a HookedTransformer from TransformerLens\\n\",\n    \"activations = cache[transcoders[8].cfg.hook_point] # transcoders[8].cfg.hook_point tells us where transcoders[8] gets its input from\\n\",\n    \"feature_activations = transcoders[8](activations)[1]\\n\",\n    \"feature_activations = feature_activations[0,-1] # batch 0, last token\\n\",\n    \"torch.topk(feature_activations, k=5) # what are the top features activated on the last token?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"ed39962b-9057-4198-aabb-558e555c8180\",\n   \"metadata\": {\n    \"jp-MarkdownHeadingCollapsed\": true\n   },\n   \"source\": [\n    \"## An aside: Jacob's interpretations of the first 30 live features\\n\",\n    \"\\n\",\n    \"For the purposes of evaluating transcoder interpretability, I (Jacob) went through the first 30 live features and tried to interpret them. My (somewhat terse) notes on each feature can be found below. If you're a fan of replicating work, feel free to use feature dashboards to interpret these features yourself and see if you end up finding the same patterns.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"645d762c-35bd-4eb0-b22d-8ceb6ca1d08e\",\n   \"metadata\": {},\n   \"source\": [\n    \"* 0: possessive pronoun + \\\"first\\\" (particularly in context of sports)\\n\",\n    \"* 1: \\\" goal\\\" (in context of sports)\\n\",\n    \"* 2: passive verbs: \\\" was awarded\\\", \\\" has been promised\\\", \\\" were denied\\\" -- particularly this \\\"awarded\\\"/\\\"promised\\\"/\\\"offered\\\"/\\\"refused\\\"/\\\"denied\\\" semantic field (related to authority?)\\n\",\n    \"* 3: \\\"You see\\\" (highest at beginning of sentence, lower when in a little \\\"parenthetical\\\" like \\\"blah blah, you see, is a blah\\\")\\n\",\n    \"* 4: activates on the \\\"the\\\" in \\\"against the\\\" (and is then followed by sports team name)\\n\",\n    \"* 5: \\\"doesn\\\"/\\\"wouldn\\\"/\\\"don\\\" (highest are forms of \\\"said that he doesn't\\\")\\n\",\n    \"* 6: activates on text in closed brackets (highest ones are `[image via screengrab]` and `[link]` and `[youtube]`)\\n\",\n    \"* 7: Period **single token feature**\\n\",\n    \"* 8: forms of the verb \\\"pull\\\" (lower-scoring examples include related verbs like \\\"draws his firearm\\\" or \\\"backing away\\\")\\n\",\n    \"* 9: Period in the context of politics?\\n\",\n    \"* 10: **single token** ` at` feature?\\n\",\n    \"* 11: top examples are \\\"speaking on\\\", lower ones include \\\"an interview on\\\"\\n\",\n    \"* 12: \\\" The\\\" after period in the context of political/financial reports? **broader context is iffy**\\n\",\n    \"* 13: local context feature for sports titles and trophies (e.g. \\\"named the recipient for the WHL's\\\")\\n\",\n    \"* 14: forms of the verb \\\"challenge\\\"\\n\",\n    \"* 15: \\\" with\\\" after comma (and in lower examples, period) when punctuation is preceded by noun\\n\",\n    \"* 16: Tokenization feature: single letter at beginning of place name (e.g. \\\" Arab border town of **R**abiya\\\", \\\" southern city of **W**uerzberg\\\")\\n\",\n    \"* 17: **uninterpretable local context feature** (the first uninterpretable one so far!)\\n\",\n    \"* 18: it \\\"is\\\"/\\\"seems\\\"/\\\"would be\\\" unwise/improper/ridiculous\\n\",\n    \"* 19: forms of verb \\\"count\\\" (always when used as verb)\\n\",\n    \"* 20: \\\"Cost\\\" and \\\"cost\\\" **single token feature**\\n\",\n    \"* 21: forms of verb \\\"fight\\\"\\n\",\n    \"* 22: \\\" with\\\" after verbs and adjectives that routinely take \\\"with\\\" as a complement -- e.g. fires on \\\"giddy with anticipation\\\" and \\\"filled with joy\\\" but not \\\"I ate with him last week\\\"\\n\",\n    \"* 23: prepositions after verbs, particularly past-tense verbs (e.g. \\\"cases heard **in** an appropriate manner\\\", \\\"images posted **by**\\\", \\\"journals posted **in** full\\\"\\n\",\n    \"* 24: weird tokenization feature: beginning of words like **sur**prised (after unicode quotes), **bel**ieves (after unicode quotes), **Tr**aded\\n\",\n    \"* 25: \\\"Hay\\\" **single token feature**\\n\",\n    \"* 26: verb + \\\" the same\\\" + abstract noun (\\\"question\\\", \\\"procedure\\\", \\\"approach\\\", \\\"system\\\", \\\"thing\\\")\\n\",\n    \"* 27: tokenization at end of names in context of media?\\n\",\n    \"* 28: \\\"general\\\", as adjective\\n\",\n    \"* 29: **interesting one**: local context feature about having the BLANK and BLANK needed to succeed (e.g. \\\"I didn't have the **courage**\\\", \\\"without the **information and skills that** they need\\\", \\\"lack the **capacity and expertise** needed\\\")\\n\",\n    \"\\n\",\n    \"Summary stats:\\n\",\n    \"* 5/30 features were single-token features without any further interpretable pattern\\n\",\n    \"  * Example of a further pattern: \\\"general\\\" as adjective, or \\\"with\\\" after verbs/adjectives that regularly take \\\"with\\\" as a complement \\n\",\n    \"* Only 1/30 features was uninterpretable\\n\",\n    \"* 4/30 features fired on different forms of a single verb\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"df7a66cb-da14-4429-a954-59fc908f0e4b\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Replacing MLPs with transcoders\\n\",\n    \"\\n\",\n    \"One way to evaluate the fidelity of a transcoder is to replace the corresponding MLP sublayer in the model with the transcoder, run the model with the replaced sublayer, and see how this affects the output.\\n\",\n    \"\\n\",\n    \"We make this easy by providing a context manager: `TranscoderReplacementContext`. Here, we'll use it to see how the zeroth live feature for the layer 8 transcoder changes its activation depending on whether or not earlier layers' MLPs were replaced by transcoders.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"id\": \"cbf7b986-4ab2-4471-b3ce-83c971f685d2\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 33.42it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Original feature activations:\\n\",\n      \"\\t[[ 0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\\n\",\n      \"  13.78]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 36.76it/s]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Replace all MLP layers after MLP0 until MLP8 with transcoders:\\n\",\n      \"\\t[[ 0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\\n\",\n      \"  12.05]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 37.88it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Replace all MLP layers up to MLP8 with transcoders:\\n\",\n      \"\\t[[0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.\\n\",\n      \"  9.664]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"prompt = \\\"After last night's game, the Cubs have finally gotten their first\\\"\\n\",\n    \"\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, live_features[0])\\n\",\n    \"print(\\\"Original feature activations:\\\")\\n\",\n    \"print(f\\\"\\\\t{scores}\\\")\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[1:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, live_features[0])\\n\",\n    \"print(\\\"Replace all MLP layers after MLP0 until MLP8 with transcoders:\\\")\\n\",\n    \"print(f\\\"\\\\t{scores}\\\")\\n\",\n    \"\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, live_features[0])\\n\",\n    \"print(\\\"Replace all MLP layers up to MLP8 with transcoders:\\\")\\n\",\n    \"print(f\\\"\\\\t{scores}\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7392ddc8-c268-4430-969a-7fe0bf7ecf89\",\n   \"metadata\": {},\n   \"source\": [\n    \"Looks like our Layer 0 transcoder fails to capture some important properties of MLP0 that cause the layer 8 feature to activate: the activation score noticeably drops when MLP0 is replaced.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"47d10e96-53fd-482f-a699-ee01e12fb272\",\n   \"metadata\": {},\n   \"source\": [\n    \"Note that the `TranscoderReplacementContext` automatically knows which MLP sublayers need to be replaced with each transcoder. All you have to do is just pass in a list of transcoders that you want to replace.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6301ea5a-2b4d-48bd-b936-8561f3300f57\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Evaluating transcoder performance\\n\",\n    \"\\n\",\n    \"This approach can also be used to evaluate the fidelity of a transcoder in its approximation of the original MLP sublayer. Here's how:\\n\",\n    \"\\n\",\n    \"1. Run the original model on some dataset and compute the mean cross entropy loss of the model on the dataset.\\n\",\n    \"2. Replace an MLP sublayer (or many!) with a transcoder (or many!), and rerun the model on this dataset, computing the mean cross entropy loss.\\n\",\n    \"3. Compare the original model loss to the loss of the transcoder-replaced model.\\n\",\n    \"4. (As another baseline, you can zero-ablate the MLP sublayer (i.e. replace its output with the zero vector) or mean-ablate it (i.e. first cache the mean output vector of the MLP sublayer on the dataset, and then re-run the model on the dataset replacing the MLP sublayer with its mean output) and record the cross entropy loss on the dataset. Zero-ablation is made easy by the `ZeroAblationContext` context manager, which takes a list of layers to zero-ablate.)\\n\",\n    \"\\n\",\n    \"This is demonstrated in the below function. **Warning: running it will take a while!**\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"id\": \"31fb11b7-00c2-4109-b4e1-413532a314eb\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def eval_transcoders_cross_entropy(model, all_tokens, transcoders, num_batches=100, batch_size=128, only_get_transcoder_loss=False):\\n\",\n    \"    original_losses = []\\n\",\n    \"    transcoder_losses = []\\n\",\n    \"    zero_ablated_losses = []\\n\",\n    \"\\n\",\n    \"    # get a list of layers associated with each transcoder\\n\",\n    \"    layers = [t.cfg.hook_point_layer for t in transcoders]\\n\",\n    \"    \\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        for batch in tqdm.tqdm(range(0, num_batches)):\\n\",\n    \"            cur_batch_tokens = all_tokens[batch*batch_size:(batch+1)*batch_size]\\n\",\n    \"\\n\",\n    \"            if not only_get_transcoder_loss:\\n\",\n    \"                original_losses.append(utils.to_numpy(model(cur_batch_tokens, return_type=\\\"loss\\\")))\\n\",\n    \"\\n\",\n    \"            with TranscoderReplacementContext(model, transcoders):\\n\",\n    \"                transcoder_losses.append(utils.to_numpy(model(cur_batch_tokens, return_type=\\\"loss\\\")))\\n\",\n    \"\\n\",\n    \"            if not only_get_transcoder_loss:\\n\",\n    \"                with ZeroAblationContext(model, layers):\\n\",\n    \"                    zero_ablated_losses.append(utils.to_numpy(model(cur_batch_tokens, return_type=\\\"loss\\\")))\\n\",\n    \"\\n\",\n    \"    return {\\n\",\n    \"        'original_losses': np.mean(original_losses),\\n\",\n    \"        'transcoder_losses': np.mean(transcoder_losses),\\n\",\n    \"        'zero_ablated_losses': np.mean(zero_ablated_losses)\\n\",\n    \"    }\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"id\": \"e5bd7813-6abc-4064-b0fa-1878dccc92d1\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [03:35<00:00,  2.16s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'original_losses': 3.5927782, 'transcoder_losses': 4.233656, 'zero_ablated_losses': 10.940612}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# what is the model loss when we replace *all* MLPs with transcoders?\\n\",\n    \"all_transcoders_losses = eval_transcoders_cross_entropy(model, owt_tokens_torch, transcoders)\\n\",\n    \"print(all_transcoders_losses)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"id\": \"2c85b95f-8997-45ac-9700-2e790808c14d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [02:04<00:00,  1.24s/it]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{'original_losses': nan, 'transcoder_losses': 4.0623827, 'zero_ablated_losses': nan}\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\",\n      \"/gpfs/gibbs/project/cohan/jhd43/conda_envs/nlp_env/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.\\n\",\n      \"  return _methods._mean(a, axis=axis, dtype=dtype,\\n\",\n      \"/gpfs/gibbs/project/cohan/jhd43/conda_envs/nlp_env/lib/python3.9/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide\\n\",\n      \"  ret = ret.dtype.type(ret / rcount)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# what is the loss when we replace all MLPs with transcoders *except for MLP0 and MLP11*?\\n\",\n    \"some_transcoders_losses = eval_transcoders_cross_entropy(model, owt_tokens_torch, transcoders[1:-1], only_get_transcoder_loss=True)\\n\",\n    \"print(some_transcoders_losses)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6c59827e-0bd6-457d-a787-f2fe59b095c3\",\n   \"metadata\": {},\n   \"source\": [\n    \"Alright. For reference, our original model's cross-entropy loss on this dataset is 3.59 nats. When we zero-ablate all the MLP sublayers, then the cross-entropy loss jumps to 10.94 nats. When we replace all the MLPs with transcoders, the loss is 4.23 nats, and when we don't replace MLP0 and MLP11 with transcoders, the loss is 4.06 nats.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"55adfc30-d5c8-431c-8788-b8510d170481\",\n   \"metadata\": {},\n   \"source\": [\n    \"We can also evaluate the transcoders by looking at the mean KL divergence of the original model's outputs from the transcoder-replaced model's outputs.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"id\": \"c2a60592-13f7-41da-8ce4-a033fa559b50\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def eval_transcoders_kl_div(model, all_tokens, transcoders, num_batches=400, batch_size=32):\\n\",\n    \"    kls = []\\n\",\n    \"    \\n\",\n    \"    with torch.no_grad():\\n\",\n    \"        for batch in tqdm.tqdm(range(0, num_batches)):\\n\",\n    \"            cur_batch_tokens = all_tokens[batch*batch_size:(batch+1)*batch_size]\\n\",\n    \"            real_logits = model(cur_batch_tokens, return_type=\\\"logits\\\")\\n\",\n    \"            real_logits = real_logits.reshape(-1, real_logits.shape[-1])\\n\",\n    \"            real_softmax = torch.nn.functional.log_softmax(real_logits, dim=-1)\\n\",\n    \"            with TranscoderReplacementContext(model, transcoders):\\n\",\n    \"                tc_logits = model(cur_batch_tokens, return_type=\\\"logits\\\")\\n\",\n    \"                tc_logits = tc_logits.reshape(-1, tc_logits.shape[-1])\\n\",\n    \"                tc_softmax = torch.nn.functional.log_softmax(tc_logits, dim=-1)\\n\",\n    \"            kls.append(torch.nn.functional.kl_div(tc_softmax, real_softmax, reduction='batchmean', log_target=True).item())\\n\",\n    \"\\n\",\n    \"    return np.mean(kls)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"id\": \"824e9f2e-d1de-42e4-9712-27eef2401225\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 400/400 [04:06<00:00,  1.62it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.6683926452696324\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"eval_transcoders_kl_div(model, owt_tokens_torch, transcoders)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e77cdefd-3132-4332-ac78-eacca675f927\",\n   \"metadata\": {},\n   \"source\": [\n    \"Not bad: when we replace all MLP sublayers with transcoders, the mean KL divergence of the transcoder-replaced model outputs from the actual model outputs is only 0.668 nats.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a3cb74a3-7039-4f7e-853b-64387c713dc0\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Circuit analysis walkthrough\\n\",\n    \"\\n\",\n    \"Now, let's learn how to analyze circuits with transcoders! We'll be looking at a random transcoder feature in Layer 8, and trying to analyze the circuits that determines whether or not this feature fires. In effect, we're reverse-engineering the transcoder feature.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"75b55a64-7bc2-4413-8305-8838f97bd32d\",\n   \"metadata\": {},\n   \"source\": [\n    \"First, let's look at the top activating examples for this feature.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"id\": \"2ad5a7dc-5b0b-4d06-9f7b-cddab7ba0c01\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:35<00:00,  2.81it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<h3 style='font-family: serif'>Firing frequency: 0.1137%</h3>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 8.62 and 10.35: 0.0000%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> snipers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displaying<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> L<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>115<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (8.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (1.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rifles<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 6818, token 51</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 6.90 and 8.62: 0.0023%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> snipers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displaying<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> L<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>115<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (8.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (1.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rifles<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 6818, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Merlin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HC<span class='feature_val'> (1.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8e05'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (8.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> medium<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>lift<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> transport<span class='feature_val'> (0.00)</span></span><span> Example 6325, token 22</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>94<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff910b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (8.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> carries<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> new<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> submarine<span class='feature_val'> (0.00)</span></span><span> Example 1957, token 8</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Merlin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HC<span class='feature_val'> (0.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>4<span class='feature_val'> (0.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9412'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (8.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> medium<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>lift<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 6170, token 42</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9616'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (7.86)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> aircraft<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 9699, token 109</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>45<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>mm<span class='feature_val'> (0.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> AK<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>74<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff971a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (7.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Russian<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Army<span class='feature_val'> (0.00)</span></span><span> Example 12637, token 57</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Sun<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Jack<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9a1f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>W</b><span class='feature_val'> (7.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Solar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Panel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Charg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span> Example 12104, token 42</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Warp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plague<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>81<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c24'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (7.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>41<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 11620, token 56</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ab<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> War<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>06<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9f2a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (7.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>41<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span> Example 12054, token 101</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fire<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> L<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>16<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa02e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (7.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 81<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>mm<span class='feature_val'> (3.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mortar<span class='feature_val'> (0.00)</span></span><span> Example 7959, token 13</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 5.17 and 6.90: 0.0065%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>em<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>net<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Base<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 143<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa334'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (6.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>41<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 11596, token 30</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> J<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefdfc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>L<span class='feature_val'> (0.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa539'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (6.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>),<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 1957, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>purpose<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CR<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>250<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>L</b><span class='feature_val'> (6.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CB<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>R<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>250<span class='feature_val'> (0.00)</span></span><span> Example 6309, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> general<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> dissatisfaction<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaa43'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (6.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> gameplay<span class='feature_val'> (0.00)</span></span><span> Example 6405, token 6</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ley<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Unit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac48'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (6.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Anderson<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Street<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ch<span class='feature_val'> (0.00)</span></span><span> Example 7380, token 105</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> named<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> B<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (5.97)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Special<span class='feature_val'> (0.00)</span></span><span> Example 8254, token 6</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> --<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> EV<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>O<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (5.81)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wasn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;t<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> much<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> different<span class='feature_val'> (0.00)</span></span><span> Example 5224, token 14</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Index<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Sun<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Jack<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb358'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>W</b><span class='feature_val'> (5.63)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Solar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Panel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Charg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span> Example 11334, token 35</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>When<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (5.46)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> del<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ves<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> into<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> machine<span class='feature_val'> (0.00)</span></span><span> Example 6546, token 116</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> already<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> this<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> season<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>383<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>a</b><span class='feature_val'> (5.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>383<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>b<span class='feature_val'> (4.22)</span></span><span> Example 11719, token 100</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 3.45 and 5.17: 0.0097%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Northern<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Virginia<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>H</b><span class='feature_val'> (5.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Center<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> just<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> minutes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span> Example 3494, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reads<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 370<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9617'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>H<span class='feature_val'> (7.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>55<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>V</b><span class='feature_val'> (4.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> What<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> could<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> possibly<span class='feature_val'> (0.00)</span></span><span> Example 3102, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> regression<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> least<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 18<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf73'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>a</b><span class='feature_val'> (4.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Tr<span class='feature_val'> (0.00)</span></span><span> Example 669, token 8</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Flynn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 55<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Forrest<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (4.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mug<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ga<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Way<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 7101, token 19</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> /<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 680<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (4.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Body<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> only<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span> Example 5772, token 4</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>383<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>a<span class='feature_val'> (5.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>383<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>b</b><span class='feature_val'> (4.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>es<span class='feature_val'> (0.00)</span></span><span> Example 11719, token 104</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sex<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> violence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> other<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> combat<span class='feature_val'> (0.00)</span></span><span> Example 7910, token 91</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> O<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Connor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 12<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (3.85)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Hard<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>man<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Street<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 8624, token 111</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [*]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Shadow<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Serpent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (3.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>burn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Attributes<span class='feature_val'> (0.00)</span></span><span> Example 5580, token 59</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [*]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Republic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fleet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd097'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (3.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>burn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Attributes<span class='feature_val'> (0.00)</span></span><span> Example 5735, token 8</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 1.72 and 3.45: 0.0255%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>um<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (3.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 7890, token 22</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> =&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Federation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Navy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (3.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 7379, token 7</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> T</b><span class='feature_val'> (2.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Wh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> due<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> increased<span class='feature_val'> (0.00)</span></span><span> Example 11780, token 76</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Note<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> LG<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>X</b><span class='feature_val'> (2.82)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> James<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bond<span class='feature_val'> (0.00)</span></span><span> Example 9445, token 61</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>x<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffce92'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>E<span class='feature_val'> (3.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>07<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>F</b><span class='feature_val'> (2.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff9f2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>FB<span class='feature_val'> (0.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 0<span class='feature_val'> (0.00)</span></span><span> Example 2071, token 19</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>li<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> B<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (2.47)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>burn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Attributes<span class='feature_val'> (0.00)</span></span><span> Example 5631, token 29</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ff<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>337<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> HR</b><span class='feature_val'> (2.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 22<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> RBI<span class='feature_val'> (0.20)</span></span><span> Example 4972, token 124</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> human<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CY<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>P<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>D</b><span class='feature_val'> (2.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> vivo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 4266, token 113</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cody<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> White<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>hair<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> C</b><span class='feature_val'> (1.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bears<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 11613, token 96</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> luxury<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tax<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (1.76)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> future<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 3422, token 53</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><h3 style='display: inline; font-family: serif'>Between 0.00 and 1.72: 0.0697%</h3></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>nd<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Battalion<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 503<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>rd</b><span class='feature_val'> (1.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Infantry<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Regiment<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 173<span class='feature_val'> (0.00)</span></span><span> Example 11736, token 74</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>±<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>08<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> μ<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (1.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> compared<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mice<span class='feature_val'> (0.00)</span></span><span> Example 3540, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Eg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (1.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> In<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>compatible<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span> Example 5957, token 112</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fff5e9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> K<span class='feature_val'> (0.72)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SHARES<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 19<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> K</b><span class='feature_val'> (1.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SHARES<span class='feature_val'> (0.00)</span></span><span> Example 290, token 126</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> other<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (0.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> isn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>t<span class='feature_val'> (0.00)</span></span><span> Example 6405, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [*]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Republic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fleet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (0.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 7379, token 57</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ake<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>em<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> DI</b><span class='feature_val'> (0.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>*<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Gr<span class='feature_val'> (0.00)</span></span><span> Example 11347, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ederation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Navy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (0.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 5960, token 48</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Booster<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Rockets<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> =&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (0.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Digital<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Booster<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Rockets<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span> Example 6033, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[77] # choose the 77th live feature, because lucky number 7\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch[:128*100], feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"fe026362-5a61-473c-9f5d-c719274813f6\",\n   \"metadata\": {},\n   \"source\": [\n    \"The pattern here seems to be \\\"capital letters after numbers, particularly in the context of machines or weapons\\\".\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"133298e6-e747-4761-ab1e-4125ec8f8ff4\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Replace MLPs with transcoders\\n\",\n    \"\\n\",\n    \"First, what parts of the computation do transcoders capture? We'll look at how the layer 8 feature activation changes based on whether or not we replace lower-layer MLPs with transcoders.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"id\": \"ca706746-7cf3-4865-95f1-cdbeeb709048\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 44.02it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    0.    0.    0.    0.    7.516]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"prompt = \\\"Oh, that rifle model is a 6M\\\"\\n\",\n    \"token_strs = model.to_str_tokens(prompt)\\n\",\n    \"_, cache = model.run_with_cache(prompt)\\n\",\n    \"scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"id\": \"f0a1fd22-9b15-4fb1-86f2-2a76bfaf9993\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 37.01it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    0.    0.    0.    0.    2.361]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# replace all MLPs up to layer 8 with transcoders\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"abd18acc-0adb-4387-bc05-3cbfb91ca074\",\n   \"metadata\": {},\n   \"source\": [\n    \"When we replace all the MLPs with transcoders, then the feature fires a lot less.\\n\",\n    \"\\n\",\n    \"What about if we only replace MLPs starting at layer 1?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"id\": \"5607461f-7003-4c73-8eaf-2a7af1b22b8c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 1/1 [00:00<00:00, 37.73it/s]\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[[0.    0.    0.    0.    0.    0.    0.    0.    5.805]]\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# replace all MLPs up to layer 8 with transcoders\\n\",\n    \"with TranscoderReplacementContext(model, transcoders[1:8]):\\n\",\n    \"    scores = get_feature_scores(model, transcoders[8], model.tokenizer(prompt, return_tensors='pt').input_ids, feature_idx, batch_size=128, use_raw_scores=False)\\n\",\n    \"print(scores)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"74e31c2d-f86e-46f5-ac0b-31fc9ea4bb30\",\n   \"metadata\": {},\n   \"source\": [\n    \"The feature gets closer to its original firing score. This makes sense: MLP0 in GPT2-small is thought to be particularly tricky to deal with, since it's viewed as an \\\"extended token embedding\\\".\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"0ca1d219-98ce-4fe4-8642-c584befb1642\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Feature vectors and computational paths\\n\",\n    \"\\n\",\n    \"Let's get started doing some circuit analysis!\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6abefbe9-8e43-46c5-bc11-57d58f72ebac\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Feature vectors\\n\",\n    \"\\n\",\n    \"The first step is to create a `FeatureVector` object corresponding to the layer 8 transcoder feature that we want to analyze. We can easily do this using the `make_sae_feature_vector()` function (which works just as well for transcoders as SAEs):\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"id\": \"25b4207c-673f-49a6-897a-ff6712a01e8c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[89]@-1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"feature_idx = live_features[77]\\n\",\n    \"feature_vector = make_sae_feature_vector(transcoders[8], feature_idx)\\n\",\n    \"print(feature_vector)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e62604d7-8ce4-4aee-86d3-42995a5f473f\",\n   \"metadata\": {},\n   \"source\": [\n    \"We now have a `FeatureVector` object with the representation `mlp8tc[89]@-1`. What does this mean?\\n\",\n    \"\\n\",\n    \"* `mlp8` means that this is a feature vector associated with MLP8.\\n\",\n    \"* `tc` means that this is a transcoder feature.\\n\",\n    \"* `[89]` means that this is feature #89 in the transcoder (because the 77th live feature in the transcoder is feature #89).\\n\",\n    \"* `@-1` means that this feature vector is associated with the `-1`th token -- that is to say, the final token -- in the prompt. Because our feature fires on the last token in the prompt, this is the one that we want to analyze. But if you wanted to analyze some other token -- say, token 5 -- then you could do so by writing `make_sae_feature_vector(transcoders[8], feature_idx, token=5)`.\\n\",\n    \"\\n\",\n    \"Note that you can access the actual vector associated with any `FeatureVector` object with `feature_vector.vector`. In this case, `feature_vector.vector` is the encoder vector associated with the transcoder feature.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"id\": \"622ad90c-61e9-4531-8dae-1711ecb6e223\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"torch.Size([768])\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"feature_vector.vector.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"id\": \"ebcb4eb7-4f38-4e47-8674-0c80daceebaa\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[(0, '<|endoftext|>'),\\n\",\n       \" (1, 'Oh'),\\n\",\n       \" (2, ','),\\n\",\n       \" (3, ' that'),\\n\",\n       \" (4, ' rifle'),\\n\",\n       \" (5, ' model'),\\n\",\n       \" (6, ' is'),\\n\",\n       \" (7, ' a'),\\n\",\n       \" (8, ' 6'),\\n\",\n       \" (9, 'M')]\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(enumerate(token_strs))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"9aa7f6ae-a7b7-49f0-bc65-6849c136fcc5\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Getting top computational paths\\n\",\n    \"\\n\",\n    \"Now that we have a `FeatureVector` object, let's find the computational paths in the model that are most important for causing this feature vector to activate on this input. To do this, we'll use the function `greedy_get_top_paths()`.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"id\": \"f482d2cf-ea0b-44a7-bb1d-a64bad0032af\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"prompt = \\\"Oh, that rifle model is a 6M\\\"\\n\",\n    \"_, cache = model.run_with_cache(prompt) # cache the model activations on this prompt\\n\",\n    \"\\n\",\n    \"all_paths = greedy_get_top_paths(model, transcoders, cache, feature_vector, num_iters=3, num_branches=15, do_raw_attribution=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"4e84c5a4-6454-40c3-a7d6-b1f214444981\",\n   \"metadata\": {},\n   \"source\": [\n    \"Here are the arguments that we passed to `greedy_get_top_paths()`, in order:\\n\",\n    \"* `model` is the model that we're analyzing.\\n\",\n    \"* `transcoders` is our list of transcoders.\\n\",\n    \"* `cache` is the cache of model activations on our input.\\n\",\n    \"* `feature_vector` is the FeatureVector object that we want to analyze.\\n\",\n    \"* `num_iters` tells us how many times to iterate the greedy pathfinding algorithm. In effect, this is the length of the longest computational paths returned by `greedy_get_top_paths()`.\\n\",\n    \"* `num_branches` tells us how many paths of each length we should look at.\\n\",\n    \"* `do_raw_attribution=True` has to do with how computational path attributions (that is, how important each path is) are calculated. When `do_raw_attribution=False` is set, then attributions are calculated by seeing how much the output feature activation would change if a lower-layer feature is zero-ablated. In general, `do_raw_attribution=True` has better mathematical properties, so we'll use this.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"afdc79b7-9219-4739-94bc-41e303054eb7\",\n   \"metadata\": {},\n   \"source\": [\n    \"What are our computational paths? Let's print them:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"id\": \"b146260f-5cc9-4cea-be2b-e9a4d3f49f22\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"--- Paths of size 2 ---\\n\",\n      \"Path [0][0]: mlp8tc[89]@-1: 7.6 <- mlp0tc[8829]@9: 0.85\\n\",\n      \"Path [0][1]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56\\n\",\n      \"Path [0][2]: mlp8tc[89]@-1: 7.6 <- mlp4tc[17353]@9: 0.42\\n\",\n      \"Path [0][3]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35\\n\",\n      \"Path [0][4]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35\\n\",\n      \"Path [0][5]: mlp8tc[89]@-1: 7.6 <- mlp4tc[17443]@9: 0.32\\n\",\n      \"Path [0][6]: mlp8tc[89]@-1: 7.6 <- mlp6tc[17269]@9: 0.3\\n\",\n      \"Path [0][7]: mlp8tc[89]@-1: 7.6 <- mlp5tc[6434]@9: 0.29\\n\",\n      \"Path [0][8]: mlp8tc[89]@-1: 7.6 <- mlp7tc[22013]@9: 0.28\\n\",\n      \"Path [0][9]: mlp8tc[89]@-1: 7.6 <- attn0[1]@9: 0.26\\n\",\n      \"Path [0][10]: mlp8tc[89]@-1: 7.6 <- attn4[11]@8: 0.25\\n\",\n      \"Path [0][11]: mlp8tc[89]@-1: 7.6 <- attn2[1]@4: 0.22\\n\",\n      \"Path [0][12]: mlp8tc[89]@-1: 7.6 <- attn8[7]@8: 0.21\\n\",\n      \"Path [0][13]: mlp8tc[89]@-1: 7.6 <- attn3[6]@8: 0.21\\n\",\n      \"Path [0][14]: mlp8tc[89]@-1: 7.6 <- mlp5tc[2296]@9: 0.17\\n\",\n      \"--- Paths of size 3 ---\\n\",\n      \"Path [1][0]: mlp8tc[89]@-1: 7.6 <- mlp0tc[8829]@9: 0.85 <- attn0[5]@9: 0.66\\n\",\n      \"Path [1][1]: mlp8tc[89]@-1: 7.6 <- mlp0tc[8829]@9: 0.85 <- embed0@9: 0.52\\n\",\n      \"Path [1][2]: mlp8tc[89]@-1: 7.6 <- mlp0tc[8829]@9: 0.85 <- attn0[1]@9: 0.4\\n\",\n      \"Path [1][3]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp0tc[8829]@9: 0.2\\n\",\n      \"Path [1][4]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17\\n\",\n      \"Path [1][5]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- attn2[2]@8: 0.14\\n\",\n      \"Path [1][6]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp2tc[15119]@9: 0.14\\n\",\n      \"Path [1][7]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35 <- mlp0tc[8829]@9: 0.13\\n\",\n      \"Path [1][8]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- attn3[3]@8: 0.13\\n\",\n      \"Path [1][9]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35 <- attn2[2]@8: 0.13\\n\",\n      \"Path [1][10]: mlp8tc[89]@-1: 7.6 <- mlp5tc[6434]@9: 0.29 <- mlp0tc[8829]@9: 0.12\\n\",\n      \"Path [1][11]: mlp8tc[89]@-1: 7.6 <- attn2[1]@4: 0.22 <- mlp0tc[7829]@4: 0.12\\n\",\n      \"Path [1][12]: mlp8tc[89]@-1: 7.6 <- attn3[6]@8: 0.21 <- mlp0tc[10490]@8: 0.12\\n\",\n      \"Path [1][13]: mlp8tc[89]@-1: 7.6 <- mlp4tc[17353]@9: 0.42 <- mlp0tc[8829]@9: 0.11\\n\",\n      \"Path [1][14]: mlp8tc[89]@-1: 7.6 <- attn4[11]@8: 0.25 <- mlp0tc[10490]@8: 0.096\\n\",\n      \"--- Paths of size 4 ---\\n\",\n      \"Path [2][0]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp0tc[8829]@9: 0.2 <- attn0[5]@9: 0.15\\n\",\n      \"Path [2][1]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp0tc[8829]@9: 0.2 <- embed0@9: 0.12\\n\",\n      \"Path [2][2]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- attn0[1]@8: 0.11\\n\",\n      \"Path [2][3]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35 <- mlp0tc[8829]@9: 0.13 <- attn0[5]@9: 0.1\\n\",\n      \"Path [2][4]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp0tc[8829]@9: 0.2 <- attn0[1]@9: 0.094\\n\",\n      \"Path [2][5]: mlp8tc[89]@-1: 7.6 <- mlp5tc[6434]@9: 0.29 <- mlp0tc[8829]@9: 0.12 <- attn0[5]@9: 0.093\\n\",\n      \"Path [2][6]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- attn0[5]@8: 0.088\\n\",\n      \"Path [2][7]: mlp8tc[89]@-1: 7.6 <- mlp4tc[17353]@9: 0.42 <- mlp0tc[8829]@9: 0.11 <- attn0[5]@9: 0.085\\n\",\n      \"Path [2][8]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35 <- mlp0tc[8829]@9: 0.13 <- embed0@9: 0.082\\n\",\n      \"Path [2][9]: mlp8tc[89]@-1: 7.6 <- attn3[6]@8: 0.21 <- mlp0tc[10490]@8: 0.12 <- attn0[1]@8: 0.078\\n\",\n      \"Path [2][10]: mlp8tc[89]@-1: 7.6 <- mlp5tc[6434]@9: 0.29 <- mlp0tc[8829]@9: 0.12 <- embed0@9: 0.073\\n\",\n      \"Path [2][11]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- attn2[2]@8: 0.14 <- mlp0tc[10490]@8: 0.071\\n\",\n      \"Path [2][12]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35 <- attn2[2]@8: 0.13 <- mlp0tc[10490]@8: 0.068\\n\",\n      \"Path [2][13]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- embed0@8: 0.068\\n\",\n      \"Path [2][14]: mlp8tc[89]@-1: 7.6 <- mlp4tc[17353]@9: 0.42 <- mlp0tc[8829]@9: 0.11 <- embed0@9: 0.067\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print_all_paths(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"7c7f9894-14b7-48cb-a1f8-bd70991b7a63\",\n   \"metadata\": {},\n   \"source\": [\n    \"That's a lot of output! Let's break down what the output for a single computational path looks like. As an example, let's focus on this line:\\n\",\n    \"\\n\",\n    \"``Path [1][4]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17``\\n\",\n    \"\\n\",\n    \"Here's what each part means:\\n\",\n    \"\\n\",\n    \"* `Path [1][4]: ` means that you can access this computational path as `all_paths[1][4]`. Note that a computational path is just a list of `FeatureVector` objects.\\n\",\n    \"* The rest of the line is a representation of the computational path. Importantly, later-layer features are at the left; earlier-layer features are at the right. As an example, the layer 8 feature `mlp8tc[89]@-1: 7.6` comes to the left of the layer 2 feature `attn2[2]@8: 0.35`. The left-pointing `<-` arrows serve to clarify this.\\n\",\n    \"* We already discussed what `mlp8tc[89]@-1` means. But `mlp8tc[89]@-1: 7.6` means that this \\\"root\\\" feature has an activation of 7.6 on this input.\\n\",\n    \"* The feature in the middle, `attn2[2]@8: 0.35`, is a feature vector associated with an *attention* sublayer. In particular:\\n\",\n    \"  * `attn2` means that this feature is associated with layer 2 attention.\\n\",\n    \"  * `[2]` means that this feature is associated with attention head 2.\\n\",\n    \"  * `@8` means that the source token for this feature is token 8.\\n\",\n    \"  * `: 0.35` means that this feature contributes 0.35 to the root feature's activation.\\n\",\n    \"* Similarly, `mlp0tc[10490]@8: 0.17` means that the MLP0 transcoder feature 10490 contributes 0.17 to the root feature's activation from token 8.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"896e2c46-0199-42da-bf8b-47cfdef7391c\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Filtering paths\\n\",\n    \"\\n\",\n    \"Once you have a big list of computational paths, you can filter computational paths based on flexible rules, using `FeatureFilter` objects in conjunction with the `get_paths_via_filter()` function.\\n\",\n    \"\\n\",\n    \"As an example, here's how you can filter for paths that don't go through the MLP2 transcoder, that don't end on token 9, and that do end on a layer 0 feature: \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"id\": \"5764c1ac-c69d-49bc-ba50-c6504af8867c\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Path [0]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17\\n\",\n      \"Path [1]: mlp8tc[89]@-1: 7.6 <- attn2[1]@4: 0.22 <- mlp0tc[7829]@4: 0.12\\n\",\n      \"Path [2]: mlp8tc[89]@-1: 7.6 <- attn3[6]@8: 0.21 <- mlp0tc[10490]@8: 0.12\\n\",\n      \"Path [3]: mlp8tc[89]@-1: 7.6 <- attn4[11]@8: 0.25 <- mlp0tc[10490]@8: 0.096\\n\",\n      \"Path [4]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- attn0[1]@8: 0.11\\n\",\n      \"Path [5]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- attn0[5]@8: 0.088\\n\",\n      \"Path [6]: mlp8tc[89]@-1: 7.6 <- attn3[6]@8: 0.21 <- mlp0tc[10490]@8: 0.12 <- attn0[1]@8: 0.078\\n\",\n      \"Path [7]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- attn2[2]@8: 0.14 <- mlp0tc[10490]@8: 0.071\\n\",\n      \"Path [8]: mlp8tc[89]@-1: 7.6 <- attn2[2]@8: 0.35 <- mlp0tc[10490]@8: 0.17 <- embed0@8: 0.068\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# ignore paths that go through MLP2 transcoder\\n\",\n    \"filtered_paths = get_paths_via_filter(all_paths, not_infix_path=[\\n\",\n    \"    FeatureFilter(\\n\",\n    \"        layer=2, layer_filter_type=FilterType.EQ,\\n\",\n    \"        feature_type=FeatureType.TRANSCODER\\n\",\n    \"    )\\n\",\n    \"])\\n\",\n    \"\\n\",\n    \"# ignore paths that end in last token\\n\",\n    \"filtered_paths = get_paths_via_filter(filtered_paths, suffix_path=[\\n\",\n    \"    FeatureFilter(token=9, token_filter_type=FilterType.NE)\\n\",\n    \"])\\n\",\n    \"\\n\",\n    \"# look at paths that end in layer 0\\n\",\n    \"filtered_paths = get_paths_via_filter(filtered_paths, suffix_path=[\\n\",\n    \"    FeatureFilter(layer=0)\\n\",\n    \"])\\n\",\n    \"\\n\",\n    \"print_all_paths(filtered_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"a0fd4d6e-f4fc-4c08-bcd0-d0acca9c35ce\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Computational graphs\\n\",\n    \"\\n\",\n    \"Once we have a list of computational paths, we can combine them all into a single computational graph:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"id\": \"be87c99d-c582-4de1-9265-15768713b31e\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"edges, nodes = paths_to_graph(all_paths)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f7e74480-17c7-4e72-b476-79774a7db23b\",\n   \"metadata\": {},\n   \"source\": [\n    \"Each edge in the graph tells you the total contribution from one feature to another, across all computational paths in which the edge is present. Each node tells you the total contribution of the feature associated with the node across all computational paths.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"41449d81-02f2-45ad-b3dc-cab734785005\",\n   \"metadata\": {},\n   \"source\": [\n    \"Let's print out our edges:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"id\": \"fbc852c1-925b-417b-bf9f-c1dc9d3f1dc9\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"('mlp0tc[8829]@9', 'mlp8tc[89]@-1') 0.8468057513237\\n\",\n      \"('mlp3tc[14171]@9', 'mlp8tc[89]@-1') 0.5593171119689941\\n\",\n      \"('mlp4tc[17353]@9', 'mlp8tc[89]@-1') 0.4215186834335327\\n\",\n      \"('attn2[2]@8', 'mlp8tc[89]@-1') 0.3467702865600586\\n\",\n      \"('mlp2tc[15119]@9', 'mlp8tc[89]@-1') 0.3455064296722412\\n\",\n      \"('mlp4tc[17443]@9', 'mlp8tc[89]@-1') 0.31695082783699036\\n\",\n      \"('mlp6tc[17269]@9', 'mlp8tc[89]@-1') 0.30124759674072266\\n\",\n      \"('mlp5tc[6434]@9', 'mlp8tc[89]@-1') 0.29373812675476074\\n\",\n      \"('mlp7tc[22013]@9', 'mlp8tc[89]@-1') 0.2788882255554199\\n\",\n      \"('attn0[1]@9', 'mlp8tc[89]@-1') 0.25729069113731384\\n\",\n      \"('attn4[11]@8', 'mlp8tc[89]@-1') 0.2533490061759949\\n\",\n      \"('attn2[1]@4', 'mlp8tc[89]@-1') 0.21705548465251923\\n\",\n      \"('attn8[7]@8', 'mlp8tc[89]@-1') 0.21289999783039093\\n\",\n      \"('attn3[6]@8', 'mlp8tc[89]@-1') 0.2076595276594162\\n\",\n      \"('mlp5tc[2296]@9', 'mlp8tc[89]@-1') 0.17036963999271393\\n\",\n      \"('attn0[5]@9', 'mlp0tc[8829]@9') 1.0972294434905052\\n\",\n      \"('embed0@9', 'mlp0tc[8829]@9') 0.8621465340256691\\n\",\n      \"('attn0[1]@9', 'mlp0tc[8829]@9') 0.49759455770254135\\n\",\n      \"('mlp0tc[8829]@9', 'mlp3tc[14171]@9') 0.19819723069667816\\n\",\n      \"('mlp0tc[10490]@8', 'attn2[2]@8') 0.30430590361356735\\n\",\n      \"('attn2[2]@8', 'mlp3tc[14171]@9') 0.14412586390972137\\n\",\n      \"('mlp2tc[15119]@9', 'mlp3tc[14171]@9') 0.1420624703168869\\n\",\n      \"('mlp0tc[8829]@9', 'mlp2tc[15119]@9') 0.1336936354637146\\n\",\n      \"('attn3[3]@8', 'mlp3tc[14171]@9') 0.130586177110672\\n\",\n      \"('attn2[2]@8', 'mlp2tc[15119]@9') 0.12581968307495117\\n\",\n      \"('mlp0tc[8829]@9', 'mlp5tc[6434]@9') 0.1197899580001831\\n\",\n      \"('mlp0tc[7829]@4', 'attn2[1]@4') 0.11886435747146606\\n\",\n      \"('mlp0tc[10490]@8', 'attn3[6]@8') 0.11582478880882263\\n\",\n      \"('mlp0tc[8829]@9', 'mlp4tc[17353]@9') 0.10887929052114487\\n\",\n      \"('mlp0tc[10490]@8', 'attn4[11]@8') 0.0959157720208168\\n\",\n      \"('attn0[1]@8', 'mlp0tc[10490]@8') 0.1897527500987053\\n\",\n      \"('attn0[5]@8', 'mlp0tc[10490]@8') 0.08809245377779007\\n\",\n      \"('embed0@8', 'mlp0tc[10490]@8') 0.06793402135372162\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for edge, contrib in edges.items():\\n\",\n    \"    print(edge, contrib)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e549d878-5bea-4391-821c-2f47af9b2f47\",\n   \"metadata\": {},\n   \"source\": [\n    \"And now let's print out our nodes:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"id\": \"d2ec0506-ac0e-4e06-b681-fc0d009eb5ce\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[89]@-1 7.570009231567383\\n\",\n      \"mlp0tc[8829]@9 1.4073658660054207\\n\",\n      \"mlp3tc[14171]@9 0.5593171119689941\\n\",\n      \"mlp4tc[17353]@9 0.4215186834335327\\n\",\n      \"mlp2tc[15119]@9 0.4875688999891281\\n\",\n      \"mlp4tc[17443]@9 0.31695082783699036\\n\",\n      \"mlp6tc[17269]@9 0.30124759674072266\\n\",\n      \"mlp5tc[6434]@9 0.29373812675476074\\n\",\n      \"mlp7tc[22013]@9 0.2788882255554199\\n\",\n      \"mlp5tc[2296]@9 0.17036963999271393\\n\",\n      \"embed0@9 0.8621465340256691\\n\",\n      \"mlp0tc[10490]@8 0.5160464644432068\\n\",\n      \"mlp0tc[7829]@4 0.11886435747146606\\n\",\n      \"embed0@8 0.06793402135372162\\n\",\n      \"attn2[2]@8 0.6167158335447311\\n\",\n      \"attn0[1]@9 0.7548852488398552\\n\",\n      \"attn4[11]@8 0.2533490061759949\\n\",\n      \"attn2[1]@4 0.21705548465251923\\n\",\n      \"attn8[7]@8 0.21289999783039093\\n\",\n      \"attn3[6]@8 0.2076595276594162\\n\",\n      \"attn0[5]@9 1.0972294434905052\\n\",\n      \"attn3[3]@8 0.130586177110672\\n\",\n      \"attn0[1]@8 0.1897527500987053\\n\",\n      \"attn0[5]@8 0.08809245377779007\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for node, node_feature_obj in nodes.items():\\n\",\n    \"    # each node is associated with a FeatureVector object\\n\",\n    \"    # and we can access the contribution of a FeatureVector by using its .contrib member\\n\",\n    \"    print(node, node_feature_obj.contrib)  \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"138494e7-a16e-45e7-995c-575213409b86\",\n   \"metadata\": {},\n   \"source\": [\n    \"We can also add \\\"error nodes\\\" into our graph. These error nodes account for the following types of error:\\n\",\n    \"\\n\",\n    \"* Transcoder error accounts for error caused by transcoders being inaccurate approximations of their corresponding MLP sublayers.\\n\",\n    \"* Bias error accounts for bias terms used in calculating whether a transcoder feature is active or not. If bias terms are not taken into account, then the activation of a transcoder feature might be far greater or far less than the activations of child features would suggest.\\n\",\n    \"* Pruning error accounts for the fact that the greedy pathfinding algorithm doesn't give us all computational paths, but only the most important ones. Because less-important paths are pruned, this means that the resulting computational graph doesn't fully account for the entire computation.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"id\": \"1d8dbeb2-47e5-46fc-987d-a569d24faa9c\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"edges_with_error, nodes_with_error = add_error_nodes_to_graph(model, cache, transcoders, edges, nodes)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"id\": \"61a96f4c-ceab-4653-ac23-146a1b22a902\",\n   \"metadata\": {\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"mlp8tc[89]@-1 7.570009231567383\\n\",\n      \"mlp0tc[8829]@9 1.4073658660054207\\n\",\n      \"mlp3tc[14171]@9 0.5593171119689941\\n\",\n      \"mlp4tc[17353]@9 0.4215186834335327\\n\",\n      \"mlp2tc[15119]@9 0.4875688999891281\\n\",\n      \"mlp4tc[17443]@9 0.31695082783699036\\n\",\n      \"mlp6tc[17269]@9 0.30124759674072266\\n\",\n      \"mlp5tc[6434]@9 0.29373812675476074\\n\",\n      \"mlp7tc[22013]@9 0.2788882255554199\\n\",\n      \"mlp5tc[2296]@9 0.17036963999271393\\n\",\n      \"embed0@9 0.8621465340256691\\n\",\n      \"mlp0tc[10490]@8 0.5160464644432068\\n\",\n      \"mlp0tc[7829]@4 0.11886435747146606\\n\",\n      \"embed0@8 0.06793402135372162\\n\",\n      \"attn2[2]@8 0.6167158335447311\\n\",\n      \"attn0[1]@9 0.7548852488398552\\n\",\n      \"attn4[11]@8 0.2533490061759949\\n\",\n      \"attn2[1]@4 0.21705548465251923\\n\",\n      \"attn8[7]@8 0.21289999783039093\\n\",\n      \"attn3[6]@8 0.2076595276594162\\n\",\n      \"attn0[5]@9 1.0972294434905052\\n\",\n      \"attn3[3]@8 0.130586177110672\\n\",\n      \"attn0[1]@8 0.1897527500987053\\n\",\n      \"attn0[5]@8 0.08809245377779007\\n\",\n      \"mlp8tc[89]tc_error8@-1 1.4969899952411652\\n\",\n      \"mlp0tc[8829]tc_error0@9 0.0\\n\",\n      \"mlp3tc[14171]tc_error3@9 0.1378115313127637\\n\",\n      \"attn2[2]tc_error2@8 0.014237754046916962\\n\",\n      \"mlp2tc[15119]tc_error2@9 0.12196099944412708\\n\",\n      \"mlp5tc[6434]tc_error5@9 0.04146944638341665\\n\",\n      \"attn2[1]tc_error2@4 0.036753916181623936\\n\",\n      \"attn3[6]tc_error3@8 0.0729923564940691\\n\",\n      \"mlp4tc[17353]tc_error4@9 0.13282622396945953\\n\",\n      \"attn4[11]tc_error4@8 -0.0010782333556562662\\n\",\n      \"mlp0tc[10490]tc_error0@8 0.0\\n\",\n      \"mlp8tc[89]bias_error8@-1 -7.157985687255859\\n\",\n      \"mlp0tc[8829]bias_error0@9 -26.828115463256836\\n\",\n      \"mlp3tc[14171]bias_error3@9 -8.77916145324707\\n\",\n      \"mlp2tc[15119]bias_error2@9 -10.28286361694336\\n\",\n      \"mlp5tc[6434]bias_error5@9 -7.558096885681152\\n\",\n      \"mlp4tc[17353]bias_error4@9 -6.8789849281311035\\n\",\n      \"mlp0tc[10490]bias_error0@8 -33.35090637207031\\n\",\n      \"mlp8tc[89]prune_error8@-1 2.5406418442726135\\n\",\n      \"mlp0tc[8829]prune_error0@9 -1.049604669213295\\n\",\n      \"mlp3tc[14171]prune_error3@9 -0.055654630064964294\\n\",\n      \"attn2[2]prune_error2@8 0.3124099299311638\\n\",\n      \"mlp2tc[15119]prune_error2@9 0.22805558145046234\\n\",\n      \"mlp5tc[6434]prune_error5@9 0.17394816875457764\\n\",\n      \"attn2[1]prune_error2@4 0.09819112718105316\\n\",\n      \"attn3[6]prune_error3@8 0.09183473885059357\\n\",\n      \"mlp4tc[17353]prune_error4@9 0.31263939291238785\\n\",\n      \"attn4[11]prune_error4@8 0.15743323415517807\\n\",\n      \"mlp0tc[10490]prune_error0@8 0.1702672392129898\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for node, node_feature_obj in nodes_with_error.items():\\n\",\n    \"    print(node, node_feature_obj.contrib)  \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6878d74d-f60f-4e3a-8fbe-2b7eb28312d0\",\n   \"metadata\": {},\n   \"source\": [\n    \"We now see a bunch more nodes associated with these different types of error terms.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"e6b03eb2-f1eb-4feb-b0ee-3c14bd611440\",\n   \"metadata\": {},\n   \"source\": [\n    \"One thing that we can do with our computational graph is plot it. Currently, the UI isn't exactly the prettiest, but it can still serve as a useful way to take in information associated with all computational paths and error terms all at once.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"id\": \"ae2a853a-e34a-43d7-9b68-a3643fd0a4cd\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.plotly.v1+json\": {\n       \"config\": {\n        \"plotlyServerURL\": \"https://plot.ly\"\n       },\n       \"data\": [\n        {\n         \"hoverinfo\": \"text\",\n         \"hovertext\": [\n          \"mlp8tc[89]@-1<br>Contrib: 7.6\",\n          \"mlp0tc[8829]@9<br>Contrib: 1.4\",\n          \"mlp3tc[14171]@9<br>Contrib: 0.56\",\n          \"mlp4tc[17353]@9<br>Contrib: 0.42\",\n          \"mlp2tc[15119]@9<br>Contrib: 0.49\",\n          \"mlp4tc[17443]@9<br>Contrib: 0.32\",\n          \"mlp6tc[17269]@9<br>Contrib: 0.3\",\n          \"mlp5tc[6434]@9<br>Contrib: 0.29\",\n          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the current output cell\\n\",\n       \"var outputEl = gd.closest('.output');\\n\",\n       \"if (outputEl) {{\\n\",\n       \"    x.observe(outputEl, {childList: true});\\n\",\n       \"}}\\n\",\n       \"\\n\",\n       \"                        })                };                });            </script>        </div>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plot_graph(edges_with_error, nodes_with_error)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"04caaa86-db26-4228-9570-58f5169fd915\",\n   \"metadata\": {},\n   \"source\": [\n    \"## De-embeddings, pullbacks, and input-times-gradients\\n\",\n    \"\\n\",\n    \"We now have a bunch of computational paths that show us relationships between transcoder features at different layers. But how might we interpret these transcoder features? There are two approaches: input-independent approaches and input-dependent approaches. As the names suggest, the former approaches tell us about the general behavior of transcoder features across inputs, and the latter approaches tell us about specific behavior of transcoder features on a given input.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"97b8986b-3dfc-4966-87fd-07962b066688\",\n   \"metadata\": {},\n   \"source\": [\n    \"### De-embeddings\\n\",\n    \"\\n\",\n    \"One type of input-independent approach for interpreting transcoder features is **de-embeddings**. Taking the de-embedding of a transcoder feature gives us a list of tokens in the model's vocabulary that most strongly would cause the transcoder feature to fire. De-embeddings work particularly well on MLP0 transcoder features.\\n\",\n    \"\\n\",\n    \"As an example, earlier, we saw that the following computational path had some contribution to the MLP8 feature:\\n\",\n    \"\\n\",\n    \"``Path [1][3]: mlp8tc[89]@-1: 7.6 <- mlp3tc[14171]@9: 0.56 <- mlp0tc[8829]@9: 0.2``\\n\",\n    \"\\n\",\n    \"Let's see which input tokens would most cause `mlp0tc[8829]` to fire.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"id\": \"d30b83b3-67b9-4d2b-a75b-96ce2a5933ac\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>mlp0tc[8829]@9: 0.2</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb4b4'>ariat</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.054</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>M</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.133</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffb8b8'>anes</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.049</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b0b0ff'>MX</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.061</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>uality</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.045</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b0b0ff'>MF</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.060</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>��</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.045</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b1b1ff'>P</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.059</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>aria</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.044</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b2b2ff'>L</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.057</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>ibaba</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.043</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b3b3ff'>MED</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.056</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbcbc'>itives</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.043</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #b3b3ff'>G</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.056</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_deembeddings_for_feature_vector(model, all_paths[1][3][-1]) #get the last feature vector in path [1][3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"bad4b41e-7cc8-4a73-a496-f25fd9da1726\",\n   \"metadata\": {},\n   \"source\": [\n    \"Aha -- `M`, followed by similar capital-letter tokens, are most important for causing this layer 0 feature to fire! Remember that the original layer 8 feature activated on the prompt `Oh, that rifle model is a 6M`. It looks like this is reflected here.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"d0324bc9-63f3-4dd3-a7aa-21ba170119fa\",\n   \"metadata\": {},\n   \"source\": [\n    \"Similarly, we also saw that the computational path\\n\",\n    \"\\n\",\n    \"``Path [1][11]: mlp8tc[89]@-1: 7.6 <- attn2[1]@4: 0.22 <- mlp0tc[7829]@4: 0.12``\\n\",\n    \"\\n\",\n    \"contributed to the MLP8 feature. What's the de-embedding of `mlp0tc[7829]`?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"id\": \"2be52f5e-a637-45e7-be29-ea90a2922a2e\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<b>Direct path</b>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative de-embedding tokens</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive de-embedding tokens</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbaba'>aters</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.790</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>&nbsp;rifles</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.275</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbbbb'>izens</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.642</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8080ff'>&nbsp;rifle</span></td>\\n\",\n       \"    <td style='text-align:right'>+10.147</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>evil</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.405</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8383ff'>&nbsp;Rifle</span></td>\\n\",\n       \"    <td style='text-align:right'>+9.761</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbdbd'>izen</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.356</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9595ff'>ifles</span></td>\\n\",\n       \"    <td style='text-align:right'>+7.807</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>&nbsp;Virgin</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.350</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #9e9eff'>&nbsp;shotguns</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.795</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>&nbsp;visitation</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.330</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a0a0ff'>guns</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.609</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbebe'>&nbsp;Archdemon</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.270</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a0a0ff'>ifle</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.598</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbfbf'>vers</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.216</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a1a1ff'>&nbsp;Pistol</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.510</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbfbf'>&nbsp;Fey</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.189</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>&nbsp;Firearms</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.066</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #febfbf'>&nbsp;beneficiary</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.174</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>&nbsp;Shotgun</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.044</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffbfbf'>cent</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.160</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a5a5ff'>&nbsp;pistol</span></td>\\n\",\n       \"    <td style='text-align:right'>+6.007</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffc0c0'>uv</span></td>\\n\",\n       \"    <td style='text-align:right'>-3.070</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #a8a8ff'>&nbsp;shotgun</span></td>\\n\",\n       \"    <td style='text-align:right'>+5.744</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# note that this is another way to get de-embeddings for a specific transcoder feature\\n\",\n    \"# using this, you don't have to go back to the computational path and find the\\n\",\n    \"#  original FeatureVector object\\n\",\n    \"display_deembeddings_for_transcoder_feature(model, transcoders[0], 7829, k=12)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"54c4f5ab-e312-4290-8494-af50995b8a14\",\n   \"metadata\": {},\n   \"source\": [\n    \"Well, would you look at that!\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"fa261c00-739a-45f2-a44d-3e64685b2977\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Pullbacks\\n\",\n    \"\\n\",\n    \"As it turns out, de-embeddings are a special case of a more general technique for input-independent analysis, called **pullbacks**. The pullback of a feature vector by a matrix tells us which columns in the matrix are most important for causing the feature vector to activate. De-embeddings correspond to taking the pullback of a feature vector by the model's vocabulary embedding matrix. But, we can also take the pullback of a feature vector by an earlier-layer transcoder's decoder matrix, in order to tell us which earlier-layer features are most important for causing the feature vector to activate when they fire.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6fb15a24-1966-4568-a8a7-435d984821c2\",\n   \"metadata\": {},\n   \"source\": [\n    \"For example, consider this computational path from earlier:\\n\",\n    \"\\n\",\n    \"``Path [0][4]: mlp8tc[89]@-1: 7.6 <- mlp2tc[15119]@9: 0.35``\\n\",\n    \"\\n\",\n    \"On this specific input, `mlp2tc[15119]` was important for causing `mlp8tc[89]`. But in general, which MLP2 transcoder features are important for causing `mlp8tc[89]` to fire? We can use the *pullback* to tell us this.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"id\": \"bf6a82a3-d75b-4693-9657-1d3a695c0473\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9191'>8516</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.064</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>7620</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.085</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9292'>3735</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.063</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>22821</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.082</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9393'>9261</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.062</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8282ff'>14119</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.081</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9393'>8293</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.062</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>15119</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.075</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9393'>14041</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.062</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>18482</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.073</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[0][4][0], transcoders[2], k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"fe3852f5-6a26-43d8-a374-b127b440c299\",\n   \"metadata\": {},\n   \"source\": [\n    \"These connections are rather dense -- a large number of MLP2 transcoder features might cause the MLP8 transcoder feature to activate. But notice: the feature that we saw earlier, `mlp2tc[15119]`, is present among the top five most important input-independent features.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f325bc96-49e0-4164-8ef7-e67d7111e48e\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Investigating pullback features\\n\",\n    \"\\n\",\n    \"What does `mlp2tc[15119]` activate on? And what about the other ones?\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"id\": \"9115fafa-ea6e-436e-9cff-43ccbc57d12d\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:19<00:00,  5.25it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<p style='font-family: serif'>Firing frequency: 0.1577%</p>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 7.23 and 8.68: 0.0000%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> these<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> days<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> around<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 700<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (7.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> As<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> any<span class='feature_val'> (0.00)</span></span><span> Example 2654, token 52</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 5.79 and 7.23: 0.0006%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> these<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> days<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> around<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 700<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (7.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> As<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> any<span class='feature_val'> (0.00)</span></span><span> Example 2654, token 52</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Weight<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 73<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>8<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9616'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (6.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Good<span class='feature_val'> (0.00)</span></span><span> Example 12640, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> whopping<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9719'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (6.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> set<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> To<span class='feature_val'> (0.00)</span></span><span> Example 2654, token 27</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> oz<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> /<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>55<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9a1f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (6.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span> Example 5325, token 112</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> R<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ACC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 140<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c23'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (6.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> they<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> might<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span> Example 1643, token 65</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> speeds<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>000<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9d27'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (6.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> shower<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> brutal<span class='feature_val'> (0.00)</span></span><span> Example 389, token 105</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 90<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> points<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa130'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (5.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedeb7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>a<span class='feature_val'> (2.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span> Example 8260, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> earned<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 169<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> points<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>88<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa232'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (5.80)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>81<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>a<span class='feature_val'> (1.60)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span> Example 9092, token 104</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 4.34 and 5.79: 0.0006%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lines<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> code<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (5.44)</span></span><span> Example 11747, token 127</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> So<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> if<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> we<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> take<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 140<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (5.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> our<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> potatoes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 708, token 104</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> registered<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> three<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> points<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (4.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0de'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>a<span class='feature_val'> (0.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span> Example 8260, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> during<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> next<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 72<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>h</b><span class='feature_val'> (4.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Sorry<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> inconvenience<span class='feature_val'> (0.00)</span></span><span> Example 2357, token 4</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Live<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 155<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb964'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (4.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> worth<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ste<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>em<span class='feature_val'> (0.00)</span></span><span> Example 8172, token 59</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 2.89 and 4.34: 0.0034%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> games<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> legend<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbb68'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (4.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> games<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rank<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span> Example 11327, token 50</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> He<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> only<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 12<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (4.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> subs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span> Example 8310, token 30</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>140<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef9f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (0.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>180<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> km<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf73'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>h</b><span class='feature_val'> (3.97)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> h<span class='feature_val'> (2.77)</span></span><span> Example 7993, token 43</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> writing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> there<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ~<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>86<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc277'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (3.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> packages<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> npm<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 8638, token 58</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>current<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> One<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>V</b><span class='feature_val'> (3.71)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span> Example 11219, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> recorded<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> about<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (3.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> games<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> legend<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 11327, token 44</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mph<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> km<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>h</b><span class='feature_val'> (3.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span> Example 8808, token 23</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 12<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (3.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>au<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ge<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> shotgun<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 27, token 34</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> $<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>105<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (3.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Wh<span class='feature_val'> (1.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> but<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span> Example 3346, token 95</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ben<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> first<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 13<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecf96'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>b</b><span class='feature_val'> (2.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>!<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> even<span class='feature_val'> (0.00)</span></span><span> Example 9724, token 66</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 1.45 and 2.89: 0.0154%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ever<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> i<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29b'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (2.81)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> subs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> <span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ive<span class='feature_val'> (0.00)</span></span><span> Example 12379, token 36</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ever<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> since<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> i<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (2.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> subs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> <span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ive<span class='feature_val'> (0.00)</span></span><span> Example 8538, token 70</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Basics<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>d</b><span class='feature_val'> (2.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 4890, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>(<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>sec</b><span class='feature_val'> (2.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 6794, token 126</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> temperatures<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (2.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> But<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> safety<span class='feature_val'> (0.00)</span></span><span> Example 3999, token 117</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>b<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> temperatures<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> higher<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 35<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (2.06)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> human<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> skin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> can<span class='feature_val'> (0.00)</span></span><span> Example 4168, token 65</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mill<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>i</b><span class='feature_val'> (1.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>amps<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> then<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span> Example 9372, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Core<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (1.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 6085, token 63</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>800<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>mm</b><span class='feature_val'> (1.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Rein<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>forced<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Steel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pl<span class='feature_val'> (0.00)</span></span><span> Example 6071, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1600<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>mm</b><span class='feature_val'> (1.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Cry<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>stall<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ine<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Carbon<span class='feature_val'> (0.00)</span></span><span> Example 6378, token 2</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 0.00 and 1.45: 0.1376%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Blueprint<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> &quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>mm</b><span class='feature_val'> (1.33)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Rein<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>forced<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Steel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pl<span class='feature_val'> (0.00)</span></span><span> Example 6392, token 65</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>h<span class='feature_val'> (2.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd097'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>v<span class='feature_val'> (2.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>24<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>H</b><span class='feature_val'> (1.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>z<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> /&gt;<span class='feature_val'> (0.00)</span></span><span> Example 6052, token 30</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> #<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>B<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (1.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Football<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Offensive<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Player<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 10639, token 107</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> poor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> showing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> B<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (0.89)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> East<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tournament<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span> Example 7597, token 97</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> +<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>0<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>m</b><span class='feature_val'> (0.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>di<span class='feature_val'> (0.00)</span></span><span> Example 5957, token 81</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Pl<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ates<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> I<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> =&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 800<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>mm</b><span class='feature_val'> (0.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Roll<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ung<span class='feature_val'> (0.00)</span></span><span> Example 6661, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Type<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>MN</b><span class='feature_val'> (0.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>row<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arp<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>drive<span class='feature_val'> (0.00)</span></span><span> Example 5655, token 3</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Aug<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>16<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> %<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ch<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>g</b><span class='feature_val'> (0.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Aug<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>17<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Aug<span class='feature_val'> (0.00)</span></span><span> Example 2538, token 39</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Putting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> kil<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>o</b><span class='feature_val'> (0.15)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> year<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> makes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span> Example 1383, token 43</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores for feature mlp2tc[7620]\\n\",\n    \"cur_scores = get_feature_scores(model, transcoders[2], owt_tokens_torch[:128*100], 7620, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, cur_scores, header_level=None) # don't show dashboard with html headers\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"afd4a195-1b61-40c2-aeeb-7bd4e2b8ce5e\",\n   \"metadata\": {},\n   \"source\": [\n    \"`mlp2tc[7620]` fires highest on `g` after a number (as in \\\"grams\\\"), but also fires on other lowercase letters after numbers.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"id\": \"2d10fb7b-875e-4ad4-aadb-7feb50bd1695\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:19<00:00,  5.21it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<p style='font-family: serif'>Firing frequency: 0.6095%</p>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 8.53 and 10.24: 0.0000%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fed6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>9<span class='feature_val'> (2.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ERA<span class='feature_val'> (2.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ac'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> F<span class='feature_val'> (2.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (6.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeedb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (1.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>WAR</b><span class='feature_val'> (8.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Brandon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ne<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>gan<span class='feature_val'> (0.00)</span></span><span> Example 10090, token 113</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 6.83 and 8.53: 0.0006%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fed6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>9<span class='feature_val'> (2.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ERA<span class='feature_val'> (2.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ac'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> F<span class='feature_val'> (2.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (6.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeedb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (1.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>WAR</b><span class='feature_val'> (8.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Brandon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Fin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ne<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>gan<span class='feature_val'> (0.00)</span></span><span> Example 10090, token 113</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> power<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> purchase<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreements<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff900a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>As</b><span class='feature_val'> (8.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> government<span class='feature_val'> (0.00)</span></span><span> Example 11769, token 8</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffdbaf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (2.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ERA<span class='feature_val'> (2.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> F<span class='feature_val'> (2.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (5.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> f<span class='feature_val'> (0.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9311'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>WAR</b><span class='feature_val'> (7.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Kelvin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Herrera<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 55<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span> Example 11375, token 16</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fee7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> M<span class='feature_val'> (1.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>MP<span class='feature_val'> (2.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> TN<span class='feature_val'> (1.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9a1f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>FR</b><span class='feature_val'> (7.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe3c2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>II<span class='feature_val'> (2.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> VC<span class='feature_val'> (2.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd5a3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>AM<span class='feature_val'> (3.05)</span></span><span> Example 10828, token 35</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> missed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> opportunities<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef2e2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> OT<span class='feature_val'> (0.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9b23'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>As</b><span class='feature_val'> (7.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> admon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ishing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> himself<span class='feature_val'> (0.00)</span></span><span> Example 10359, token 32</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fef7ee'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 50<span class='feature_val'> (0.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>%<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed098'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> G<span class='feature_val'> (3.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9e2a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>FR</b><span class='feature_val'> (7.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (1.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc074'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> E<span class='feature_val'> (4.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb45a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SR<span class='feature_val'> (5.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcc8e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (3.77)</span></span><span> Example 12200, token 16</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> differences<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2014<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ER<span class='feature_val'> (4.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa02c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>As</b><span class='feature_val'> (7.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> x<span class='feature_val'> (0.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (1.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (3.28)</span></span><span> Example 9620, token 76</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 5.12 and 6.83: 0.0037%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fff1e0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>RT<span class='feature_val'> (1.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbaf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> C<span class='feature_val'> (2.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd19a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>TC<span class='feature_val'> (3.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa333'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>RM</b><span class='feature_val'> (6.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.[<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>67<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>]<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> A<span class='feature_val'> (0.00)</span></span><span> Example 7193, token 22</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> well<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> projected<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed098'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ER<span class='feature_val'> (3.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>As</b><span class='feature_val'> (6.43)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> just<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> there<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span> Example 9620, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> costs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> provision<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef2e2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> V<span class='feature_val'> (0.94)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa941'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Ms</b><span class='feature_val'> (6.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span> Example 4536, token 48</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>att<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>hours<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (1.56)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffad49'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Wh</b><span class='feature_val'> (6.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 11780, token 42</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fee1bd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HR<span class='feature_val'> (2.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (3.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>9<span class='feature_val'> (2.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd8aa'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ERA<span class='feature_val'> (2.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdaae'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> F<span class='feature_val'> (2.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>IP</b><span class='feature_val'> (5.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> x<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed6a4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (3.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec57f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (4.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SI<span class='feature_val'> (2.81)</span></span><span> Example 10522, token 58</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> inhibit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ory<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> role<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> SOC</b><span class='feature_val'> (5.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (2.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef2e3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> GH<span class='feature_val'> (0.92)</span></span><span> Example 12499, token 21</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> focused<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> patients<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdcb2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> E<span class='feature_val'> (2.58)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb358'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>SR</b><span class='feature_val'> (5.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (3.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffdfb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> requiring<span class='feature_val'> (0.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> renal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> replacement<span class='feature_val'> (0.00)</span></span><span> Example 12359, token 66</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> observed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> among<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> mean<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> baseline<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> D</b><span class='feature_val'> (5.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff4e8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>URR<span class='feature_val'> (0.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeed9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ,<span class='feature_val'> (1.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ).<span class='feature_val'> (0.00)</span></span><span> Example 267, token 7</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Frequency<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cause<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee4c4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> E<span class='feature_val'> (1.95)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb863'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>SR</b><span class='feature_val'> (5.20)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd098'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (3.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> [<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>12<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffedd7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>–<span class='feature_val'> (1.33)</span></span><span> Example 12142, token 60</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 3.41 and 5.12: 0.0236%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> independent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> power<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> producers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Ps</b><span class='feature_val'> (5.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> started<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> invoking<span class='feature_val'> (0.00)</span></span><span> Example 10511, token 98</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>visor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> contention<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> V<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Ms</b><span class='feature_val'> (4.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>You<span class='feature_val'> (0.00)</span></span><span> Example 3763, token 28</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Commission<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> notes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> W<span class='feature_val'> (1.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe3c1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SP<span class='feature_val'> (2.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>s</b><span class='feature_val'> (4.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sending<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> notifications<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span> Example 8876, token 65</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2015<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Since<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HB<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Ps</b><span class='feature_val'> (4.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> G<span class='feature_val'> (1.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ID<span class='feature_val'> (1.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffad49'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Ps<span class='feature_val'> (6.07)</span></span><span> Example 12004, token 49</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>team<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcfa'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> drafts<span class='feature_val'> (0.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe6c8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> P<span class='feature_val'> (1.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>PR</b><span class='feature_val'> (4.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> scoring<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> over<span class='feature_val'> (0.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> past<span class='feature_val'> (0.00)</span></span><span> Example 6521, token 36</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>M<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec681'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>s</b><span class='feature_val'> (4.18)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> debated<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Trident<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Holy<span class='feature_val'> (0.00)</span></span><span> Example 2803, token 91</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> West<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Texas<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Intermediate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1be'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>W<span class='feature_val'> (2.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>TI</b><span class='feature_val'> (4.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> delivery<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span> Example 6411, token 22</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sense<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> all<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fecb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> DU</b><span class='feature_val'> (3.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plentiful<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 1317, token 63</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> drove<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wedge<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>RP</b><span class='feature_val'> (3.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bitcoin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ethereum<span class='feature_val'> (0.00)</span></span><span> Example 4077, token 100</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffe5c6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>h<span class='feature_val'> (1.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffebd3'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> h<span class='feature_val'> (1.46)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed096'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Pa</b><span class='feature_val'> (3.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>oret<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ical<span class='feature_val'> (0.00)</span></span><span> Example 7993, token 48</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 1.71 and 3.41: 0.1078%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Derek<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Lowe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> picked<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> up<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> save</b><span class='feature_val'> (3.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Yankees<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span> Example 3265, token 35</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> animal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> studies<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> suggests<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CY</b><span class='feature_val'> (3.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>P<span class='feature_val'> (0.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff1e0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (1.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span> Example 1311, token 16</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> activity<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> specific<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed6a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CY</b><span class='feature_val'> (2.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffefc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>P<span class='feature_val'> (0.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>450<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> iso<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>forms<span class='feature_val'> (0.00)</span></span><span> Example 76, token 69</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> eligible<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> return<span class='feature_val'> (0.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> off<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IR</b><span class='feature_val'> (2.79)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Week<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 6726, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> demonstrated<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> early<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedfba'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> H<span class='feature_val'> (2.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>SC</b><span class='feature_val'> (2.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pools<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> were<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>missive<span class='feature_val'> (0.00)</span></span><span> Example 373, token 20</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Hotel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> said<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HR<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe3c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>R<span class='feature_val'> (2.08)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>AC</b><span class='feature_val'> (2.44)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> members<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> suffered<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> several<span class='feature_val'> (0.00)</span></span><span> Example 7025, token 120</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>etic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> profiles<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> dictated<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CY</b><span class='feature_val'> (2.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffbf8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>P<span class='feature_val'> (0.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (0.45)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>6<span class='feature_val'> (0.00)</span></span><span> Example 65, token 25</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> resume<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> trading<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1400<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> A</b><span class='feature_val'> (2.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ED<span class='feature_val'> (2.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feecd6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (1.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 2343, token 122</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> International<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Criminal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Court<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (1.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>More<span class='feature_val'> (0.00)</span></span><span> Example 4084, token 79</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>We<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> would<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> encourage<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> all<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> N<span class='feature_val'> (0.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>GB</b><span class='feature_val'> (1.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc37c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (4.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> just<span class='feature_val'> (0.00)</span></span><span> Example 1355, token 14</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 0.00 and 1.71: 0.4738%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ATE<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> x<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>86<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>s</b><span class='feature_val'> (1.57)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>se<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Comp<span class='feature_val'> (0.00)</span></span><span> Example 1775, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ade<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> monopoly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> held<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AS</b><span class='feature_val'> (1.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 2034, token 56</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> says<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> EW<span class='feature_val'> (0.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>G<span class='feature_val'> (0.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>s</b><span class='feature_val'> (1.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Foley<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> And<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span> Example 4466, token 68</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #fefaf5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PC<span class='feature_val'> (0.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffead1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> C<span class='feature_val'> (1.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>CT</b><span class='feature_val'> (1.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7cb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (1.72)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefefe'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feefdc'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (1.15)</span></span><span> Example 9364, token 94</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> use<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Transfer<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>W</b><span class='feature_val'> (0.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ise<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> probably<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 7841, token 89</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> metabol<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>izing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> enzyme<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2bf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (2.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>YP</b><span class='feature_val'> (0.70)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>450<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> activity<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span> Example 253, token 123</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ].<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> ph</b><span class='feature_val'> (0.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>yt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ochemical<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> culprit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> underlying<span class='feature_val'> (0.00)</span></span><span> Example 645, token 3</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> good<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> against<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> standard<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> NE<span class='feature_val'> (1.23)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>H</b><span class='feature_val'> (0.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> decks<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> also<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> good<span class='feature_val'> (0.00)</span></span><span> Example 385, token 18</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> prospect<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Tommy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Romero<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> surrendered<span class='feature_val'> (0.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> one<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> hit</b><span class='feature_val'> (0.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> struck<span class='feature_val'> (0.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> out<span class='feature_val'> (0.49)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> nine<span class='feature_val'> (0.00)</span></span><span> Example 10694, token 55</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores for mlp2tc[22821]\\n\",\n    \"cur_scores = get_feature_scores(model, transcoders[2], owt_tokens_torch[:128*100], 22821, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, cur_scores, header_level=None) # don't show dashboard with html headers\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"b0860565-ea1a-4c76-90a7-969137cb7474\",\n   \"metadata\": {},\n   \"source\": [\n    \"`mlp2tc[22821]` fires on capital letters in acronyms, particularly towards the end.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"id\": \"34d4cf54-d9b3-4625-aa92-79daae336857\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:19<00:00,  5.18it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<p style='font-family: serif'>Firing frequency: 0.2836%</p>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 6.17 and 7.40: 0.0000%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Commission<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CR</b><span class='feature_val'> (6.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>TC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Inter<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>connection<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ste<span class='feature_val'> (0.00)</span></span><span> Example 8744, token 110</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 4.93 and 6.17: 0.0006%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Commission<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CR</b><span class='feature_val'> (6.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>TC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Inter<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>connection<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ste<span class='feature_val'> (0.00)</span></span><span> Example 8744, token 110</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 10<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> per<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> experienced<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9c24'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> ED</b><span class='feature_val'> (5.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> during<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> half<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sexual<span class='feature_val'> (0.00)</span></span><span> Example 10839, token 12</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> breach<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9e29'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> FR</b><span class='feature_val'> (5.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> also<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> submitted<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span> Example 8362, token 23</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> account<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa02d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> FR</b><span class='feature_val'> (5.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> submitted<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 9259, token 87</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 3.70 and 4.93: 0.0085%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ade<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> monopoly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> held<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa333'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AS</b><span class='feature_val'> (4.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 2034, token 56</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Coalition<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa639'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> FR</b><span class='feature_val'> (4.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Middle<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ton<span class='feature_val'> (0.00)</span></span><span> Example 9313, token 62</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> still<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> subject<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> EC</b><span class='feature_val'> (4.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Further<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 8258, token 106</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Add<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> capacity<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaa44'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> GO</b><span class='feature_val'> (4.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Richmond<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Hill<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> line<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 117, token 105</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> according<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac48'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AD</b><span class='feature_val'> (4.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>F<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> press<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> release<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 8305, token 78</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Getting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> word<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AS</b><span class='feature_val'> (4.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> go<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> into<span class='feature_val'> (0.00)</span></span><span> Example 1839, token 62</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Government<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Silent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb152'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> BC</b><span class='feature_val'> (4.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> School<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Teachers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> C<span class='feature_val'> (0.00)</span></span><span> Example 278, token 104</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fair<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> use<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> policy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb358'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> FR</b><span class='feature_val'> (4.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> l<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 8483, token 10</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AL</b><span class='feature_val'> (3.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> article<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 2265, token 58</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>—<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> method<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>—<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> EW</b><span class='feature_val'> (3.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>G<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> used<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> estimate<span class='feature_val'> (0.00)</span></span><span> Example 4975, token 55</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 2.47 and 3.70: 0.0300%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Now<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> columnist<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> an<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AS</b><span class='feature_val'> (3.65)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>N<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 100<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> panel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ist<span class='feature_val'> (0.00)</span></span><span> Example 5939, token 5</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> proxy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wars<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> said<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> DG</b><span class='feature_val'> (3.53)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> IS<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>PR<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Story<span class='feature_val'> (0.00)</span></span><span> Example 9636, token 43</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>21<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>pm<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf72'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AS</b><span class='feature_val'> (3.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meanwhile<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 763, token 80</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sometimes<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> way<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> involves<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc177'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> EST</b><span class='feature_val'> (3.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> works<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ets<span class='feature_val'> (0.00)</span></span><span> Example 1682, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> game<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> engines<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> based<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> RA</b><span class='feature_val'> (3.15)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>II<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wrapping<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span> Example 1002, token 6</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> train<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ees<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> who<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> gone<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AW</b><span class='feature_val'> (3.02)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>OL<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> being<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> brought<span class='feature_val'> (0.00)</span></span><span> Example 706, token 85</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> We<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>arten<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> highlighted<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CG</b><span class='feature_val'> (2.89)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SU<span class='feature_val'> (0.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span> Example 8986, token 108</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> statement<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Thursday<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> his<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> opposition<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AH</b><span class='feature_val'> (2.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>CA<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> was<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> unchanged<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 4523, token 84</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> W<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> standards<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> WC</b><span class='feature_val'> (2.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>AG<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> guidelines<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reliable<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 5991, token 81</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sequel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> original<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd096'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> MO</b><span class='feature_val'> (2.52)</span></span><span> Example 9218, token 127</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 1.23 and 2.47: 0.0749%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> provide<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CIS</b><span class='feature_val'> (2.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> before<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> contract<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span> Example 8441, token 59</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>t<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> happy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd4a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AT</b><span class='feature_val'> (2.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&amp;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 4984, token 35</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> therapist<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> chat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>bot<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> named<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd7a6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> EL</b><span class='feature_val'> (2.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IZ<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef6eb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> MIT<span class='feature_val'> (0.46)</span></span><span> Example 9228, token 6</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> paed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>iatric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> incidence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CK</b><span class='feature_val'> (2.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>D<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Europe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span> Example 12363, token 8</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> anything<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> quote<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> CAS</b><span class='feature_val'> (1.89)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> still<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span> Example 5169, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tournament<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fedeb6'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> SK</b><span class='feature_val'> (1.76)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> z<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>erg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (0.00)</span></span><span> Example 12085, token 3</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>gly<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>!<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>In<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> AW</b><span class='feature_val'> (1.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>K<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> dealing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span> Example 7282, token 95</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> variant<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Zoo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> while<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> NA</b><span class='feature_val'> (1.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> well<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef2e2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> AP<span class='feature_val'> (0.68)</span></span><span> Example 9874, token 49</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> thought<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>less<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tweet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> EG</b><span class='feature_val'> (1.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> TI<span class='feature_val'> (1.79)</span></span><span> Example 5495, token 98</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> care<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> about<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> specifics<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> UI</b><span class='feature_val'> (1.26)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> database<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> we<span class='feature_val'> (0.00)</span></span><span> Example 154, token 107</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 0.00 and 1.23: 0.1696%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&lt;|endoftext|&gt;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> inaug<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ure<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ze<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> DJ</b><span class='feature_val'> (1.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 7<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>13<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pe<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 31<span class='feature_val'> (0.00)</span></span><span> Example 7810, token 4</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> -<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Lets<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Lo<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>L<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> DOT</b><span class='feature_val'> (1.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> they<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> coin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Top<span class='feature_val'> (0.00)</span></span><span> Example 8160, token 14</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> card<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> SD</b><span class='feature_val'> (0.88)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>HC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> card<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SD<span class='feature_val'> (0.00)</span></span><span> Example 6174, token 79</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> CIS<span class='feature_val'> (2.36)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> C</b><span class='feature_val'> (0.76)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>CT<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> also<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> noted<span class='feature_val'> (0.00)</span></span><span> Example 10322, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> University<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> College<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> London<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>CL</b><span class='feature_val'> (0.63)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 4380, token 20</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&quot;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> yet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> discussed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> Euro</b><span class='feature_val'> (0.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>group<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meeting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> But<span class='feature_val'> (0.00)</span></span><span> Example 5341, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> corpses<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> teenagers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> Ut</b><span class='feature_val'> (0.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ø<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ya<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Island<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> had<span class='feature_val'> (0.00)</span></span><span> Example 4304, token 75</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> met<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> members<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> D</b><span class='feature_val'> (0.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>C<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Trans<span class='feature_val'> (0.00)</span></span><span> Example 7387, token 62</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Commission<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> also<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> expects<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> W</b><span class='feature_val'> (0.13)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>SP<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ensure<span class='feature_val'> (0.00)</span></span><span> Example 8691, token 90</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores for mlp2tc[14119]\\n\",\n    \"cur_scores = get_feature_scores(model, transcoders[2], owt_tokens_torch[:128*100], 14119, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, cur_scores, header_level=None) # don't show dashboard with html headers\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6f4521af-e497-4fca-a5d3-b85cb4066717\",\n   \"metadata\": {},\n   \"source\": [\n    \"`mlp2tc[14119]` fires on two-capital-letter tokens.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"id\": \"cfc8583f-85e7-4392-89c5-6ecc4feef267\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:19<00:00,  5.26it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<p style='font-family: serif'>Firing frequency: 0.0459%</p>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 9.03 and 10.84: 0.0000%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>del<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ayed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (9.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> spectrum<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> auction<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> too<span class='feature_val'> (0.00)</span></span><span> Example 3868, token 63</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 7.23 and 9.03: 0.0004%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>del<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ayed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>com<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (9.03)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> spectrum<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> auction<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> too<span class='feature_val'> (0.00)</span></span><span> Example 3868, token 63</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> One<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> X<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8e04'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (8.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> capable<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Samsung<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Galaxy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> S<span class='feature_val'> (0.00)</span></span><span> Example 9573, token 99</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>e<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>g<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8f08'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (8.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8f08'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>G<span class='feature_val'> (8.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> LTE<span class='feature_val'> (0.00)</span></span><span> Example 11724, token 82</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 5.42 and 7.23: 0.0003%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> rise<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa63a'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>K</b><span class='feature_val'> (6.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displays<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> anyone<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> looking<span class='feature_val'> (0.00)</span></span><span> Example 4615, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displays<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffae4c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>K</b><span class='feature_val'> (6.32)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> screens<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> There<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span> Example 4509, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> h<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>z<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> monitors<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>),<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb152'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>K</b><span class='feature_val'> (6.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displays<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> etc<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> The<span class='feature_val'> (0.00)</span></span><span> Example 3850, token 69</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> be<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb051'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>K<span class='feature_val'> (6.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>K</b><span class='feature_val'> (6.07)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span> Example 4615, token 126</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>current<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb965'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>V</b><span class='feature_val'> (5.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd098'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (3.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> USB<span class='feature_val'> (0.00)</span></span><span> Example 11668, token 121</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 3.61 and 5.42: 0.0028%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>current<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Two<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb965'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>V</b><span class='feature_val'> (5.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd098'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>A<span class='feature_val'> (3.62)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> USB<span class='feature_val'> (0.00)</span></span><span> Example 11668, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>current<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> One<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>V</b><span class='feature_val'> (5.38)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>/<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span> Example 11219, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ic<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>her<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>controller<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> SATA<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbe6f'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>G</b><span class='feature_val'> (5.09)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span> Example 8523, token 89</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf71'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (5.01)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> warmer<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> than<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> our<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> species<span class='feature_val'> (0.00)</span></span><span> Example 5360, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> order<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fight<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc278'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.78)</span></span><span> Example 6992, token 127</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (1.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wants<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> love<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> physically<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> emotionally<span class='feature_val'> (0.00)</span></span><span> Example 7239, token 43</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> encounters<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> hostile<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> copies<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc682'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.41)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Appro<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aching<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> hysteria<span class='feature_val'> (0.00)</span></span><span> Example 6448, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> absorbed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> memory<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> data<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc887'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.25)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1be'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (2.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 6837, token 62</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> introduced<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> violence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> when<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (4.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee8cd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>S<span class='feature_val'> (1.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> attempt<span class='feature_val'> (0.00)</span></span><span> Example 6662, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Upon<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> confronting<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcd91'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (3.87)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> copies<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tower<span class='feature_val'> (0.00)</span></span><span> Example 6744, token 24</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> incorporation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed096'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>B</b><span class='feature_val'> (3.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> memories<span class='feature_val'> (0.00)</span></span><span> Example 6885, token 89</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 1.81 and 3.61: 0.0076%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Note<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> LG<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>X</b><span class='feature_val'> (3.50)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> HD<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> James<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Bond<span class='feature_val'> (0.00)</span></span><span> Example 9445, token 61</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> safety<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cutoff<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> drops<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> below<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 30<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd5a1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (3.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> when<span class='feature_val'> (0.00)</span></span><span> Example 3999, token 126</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> temperatures<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ne<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ared<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 50<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd6a5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (3.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> recent<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> weeks<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 4132, token 39</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> thigh<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>end<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>nd<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ab'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>k</b><span class='feature_val'> (2.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> displays<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> it<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> almost<span class='feature_val'> (0.00)</span></span><span> Example 3732, token 16</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> curved<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> monitor<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1500<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>R</b><span class='feature_val'> (2.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> curv<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ature<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 21<span class='feature_val'> (0.00)</span></span><span> Example 3985, token 60</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc580'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>B<span class='feature_val'> (4.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (2.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> trigger<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> self<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span> Example 8720, token 83</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>archy<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> flagship<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 5<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>23<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>M</b><span class='feature_val'> (2.40)</span></span><span> Example 11947, token 127</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> (<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Group<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (2.21)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>).<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Following<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> criteria<span class='feature_val'> (0.00)</span></span><span> Example 11610, token 108</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>76<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> /<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 25<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>p</b><span class='feature_val'> (2.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>12<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>80<span class='feature_val'> (0.00)</span></span><span> Example 5850, token 110</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> machines<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fl<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>anking<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (1.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> offering<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> their<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> lives<span class='feature_val'> (0.00)</span></span><span> Example 6913, token 50</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 0.00 and 1.81: 0.0348%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> P<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>IC<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>16<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>F</b><span class='feature_val'> (1.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>15<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>16<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> row<span class='feature_val'> (0.00)</span></span><span> Example 6387, token 108</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Sun<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>Jack<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>W</b><span class='feature_val'> (1.47)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Solar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Panel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Charg<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span> Example 12104, token 42</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> drive<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 34<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>x</b><span class='feature_val'> (1.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>40<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> resolution<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> you<span class='feature_val'> (0.00)</span></span><span> Example 3818, token 72</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> After<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fight<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 9<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>S</b><span class='feature_val'> (1.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> gets<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> infected<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> part<span class='feature_val'> (0.00)</span></span><span> Example 7080, token 94</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>er<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Unit<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 1<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 171<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>A</b><span class='feature_val'> (0.92)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ant<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ill<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Street<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 7317, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> not<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 501<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>(<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>C</b><span class='feature_val'> (0.74)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>)<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>3<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> but<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> holds<span class='feature_val'> (0.00)</span></span><span> Example 11791, token 109</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> city<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> centre<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> around<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>am</b><span class='feature_val'> (0.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 14<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> October<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> arrested<span class='feature_val'> (0.00)</span></span><span> Example 8330, token 51</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>512<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>MB<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> RAM<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> /<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 4<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>GB</b><span class='feature_val'> (0.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> internal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> storage<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Camer<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>as<span class='feature_val'> (0.00)</span></span><span> Example 12147, token 103</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> strain<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sensors<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 6<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fefcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>-</b><span class='feature_val'> (0.19)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>axis<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> acceler<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ometer<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 12707, token 118</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores for mlp2tc[15119]\\n\",\n    \"cur_scores = get_feature_scores(model, transcoders[2], owt_tokens_torch[:128*100], 15119, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, cur_scores, header_level=None) # don't show dashboard with html headers\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"d2b0338b-73dc-4f9c-a067-3156cea02f96\",\n   \"metadata\": {},\n   \"source\": [\n    \"`mlp2tc[15119]` fires on a single capital letter (particularly `G`) after a single digit.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"id\": \"1798eb4f-4ee7-42b6-985b-ebb70b0f4656\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 100/100 [00:19<00:00,  5.24it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<p style='font-family: serif'>Firing frequency: 0.0316%</p>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 5.99 and 7.19: 0.0000%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee1be'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Paris<span class='feature_val'> (1.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreements<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (5.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> would<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> urge<span class='feature_val'> (0.00)</span></span><span> Example 12460, token 27</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 4.79 and 5.99: 0.0002%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee1be'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Paris<span class='feature_val'> (1.51)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreements<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c00'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (5.99)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> he<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> would<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> urge<span class='feature_val'> (0.00)</span></span><span> Example 12460, token 27</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>trade<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ceiling<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff8c01'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> carbon</b><span class='feature_val'> (5.96)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd29d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> emissions<span class='feature_val'> (2.29)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 35<span class='feature_val'> (0.00)</span></span><span> Example 12460, token 94</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>29<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ignore<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef7ee'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> global<span class='feature_val'> (0.39)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ff9618'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (5.42)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffedd8'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.91)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreements<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>:<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span> Example 11738, token 75</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tap<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> meet<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> proposed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa230'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> carbon</b><span class='feature_val'> (4.84)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> goal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 10852, token 113</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 3.59 and 4.79: 0.0023%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> public<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> support<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> action<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> against<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa333'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (4.78)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdeb7'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (1.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span> Example 5820, token 21</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> criticized<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> President<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Obama<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>&#x27;s<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa539'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (4.64)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef2e2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.67)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plans<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> government<span class='feature_val'> (0.00)</span></span><span> Example 7800, token 121</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> protections<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> afforded<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> under<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Title<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffa83e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IX</b><span class='feature_val'> (4.52)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>;<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> posters<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> around<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> campus<span class='feature_val'> (0.00)</span></span><span> Example 3498, token 12</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> nations<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> signing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Paris<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac47'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (4.30)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agreement<span class='feature_val'> (0.86)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> New<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> York<span class='feature_val'> (0.00)</span></span><span> Example 10355, token 21</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Texas<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> business<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffac48'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (4.27)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Also<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span> Example 10852, token 87</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> well<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> as<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Title<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffaf4e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IX</b><span class='feature_val'> (4.14)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> coordin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ators<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 3884, token 66</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> its<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> confidence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> low<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb153'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> carbon</b><span class='feature_val'> (4.04)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> generation<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> repaid<span class='feature_val'> (0.00)</span></span><span> Example 10622, token 79</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> investigate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sexual<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> violence<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> under<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Title<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb357'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IX</b><span class='feature_val'> (3.93)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> guarantees<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> students<span class='feature_val'> (0.00)</span></span><span> Example 3122, token 119</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> school<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> now<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Title<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb65e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IX</b><span class='feature_val'> (3.77)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> coordin<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ators<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> each<span class='feature_val'> (0.00)</span></span><span> Example 3906, token 12</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> wisdom<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> always<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> taken<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffb862'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (3.68)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.75)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> seriously<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span> Example 6532, token 39</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 2.40 and 3.59: 0.0039%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> efforts<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> are<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> made<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cut<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffba67'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> carbon</b><span class='feature_val'> (3.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff9f1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> emissions<span class='feature_val'> (0.31)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> heat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>waves<span class='feature_val'> (0.00)</span></span><span> Example 2963, token 49</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Inter<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>governmental<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Panel<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbd6e'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> Climate</b><span class='feature_val'> (3.40)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Change<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> political<span class='feature_val'> (0.00)</span></span><span> Example 11738, token 90</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> work<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> necessary<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> protect<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffbf73'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environment</b><span class='feature_val'> (3.28)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> including<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> threatened<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> species<span class='feature_val'> (0.00)</span></span><span> Example 10536, token 38</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> suppressed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> results<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> our<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc278'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (3.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> work<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span> Example 5671, token 74</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> less<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> intrusive<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc47d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environment</b><span class='feature_val'> (3.05)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pump<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> oil<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span> Example 5529, token 88</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> issue<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> power<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> plants<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fec783'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> carbon</b><span class='feature_val'> (2.90)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> emissions<span class='feature_val'> (0.35)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 353, token 113</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> On<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc278'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> environment<span class='feature_val'> (3.16)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffc987'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (2.81)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9cf'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (1.11)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> they<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span> Example 7171, token 106</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> deal<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> with<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> threat<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcb8d'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (2.66)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>?<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span> Example 7800, token 94</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> pack<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffce92'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environment</b><span class='feature_val'> (2.55)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>\\n\",\n       \"<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>The<span class='feature_val'> (0.00)</span></span><span> Example 2116, token 120</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> water<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> is<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> needed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> by<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffcf96'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environment</b><span class='feature_val'> (2.45)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> how<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> much<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> water<span class='feature_val'> (0.00)</span></span><span> Example 5105, token 121</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 1.20 and 2.40: 0.0046%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> deeply<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> committed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> building<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> a<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed29c'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (2.32)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tolerance<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> inclusion<span class='feature_val'> (0.00)</span></span><span> Example 3191, token 74</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed5a2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> Paris</b><span class='feature_val'> (2.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Agreement<span class='feature_val'> (0.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> U<span class='feature_val'> (0.00)</span></span><span> Example 12460, token 62</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> some<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> tie<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> between<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> faith<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd6a4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (2.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe1bd'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> science<span class='feature_val'> (1.54)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> doubt<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Research<span class='feature_val'> (0.00)</span></span><span> Example 1131, token 96</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> T<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>aug<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>her<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> covers<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffd9ac'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environment</b><span class='feature_val'> (1.95)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Contact<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> at<span class='feature_val'> (0.00)</span></span><span> Example 1263, token 56</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> transport<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> agriculture<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> create<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffdbb1'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environmental</b><span class='feature_val'> (1.83)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> social<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> costs<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 7814, token 44</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cooperative<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> financial<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> system<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffddb5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> cannabis</b><span class='feature_val'> (1.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> industry<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> May<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 3233, token 20</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> one<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Dodd<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe0bb'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>Frank</b><span class='feature_val'> (1.59)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reforms<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> will<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> require<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> publicly<span class='feature_val'> (0.00)</span></span><span> Example 12217, token 46</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> that<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> have<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> existed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee2c0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> planet</b><span class='feature_val'> (1.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> for<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> thousands<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> years<span class='feature_val'> (0.00)</span></span><span> Example 5232, token 52</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> most<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> �<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>As<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee5c5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (1.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> starts<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> bite<span class='feature_val'> (0.00)</span></span><span> Example 3324, token 110</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> action<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> risk<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> der<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>ailing<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fee7ca'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> global</b><span class='feature_val'> (1.22)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> stability<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mr<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Raj<span class='feature_val'> (0.00)</span></span><span> Example 2831, token 49</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<details><summary><p style='display: inline; font-family: serif'>Between 0.00 and 1.20: 0.0206%</p></summary>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Campus<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Know<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Your<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffe9d0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> IX</b><span class='feature_val'> (1.10)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> ,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> which<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> sprang<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span> Example 3122, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> extreme<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> cases<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffecd5'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> climate</b><span class='feature_val'> (0.98)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> change<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> may<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> become<span class='feature_val'> (0.00)</span></span><span> Example 5591, token 119</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> bar<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Huawei<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> products<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> electric<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #feeeda'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> grid</b><span class='feature_val'> (0.86)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> |<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Ex<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>-<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>security<span class='feature_val'> (0.00)</span></span><span> Example 1412, token 37</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> on<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> latest<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> advances<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff0df'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> science</b><span class='feature_val'> (0.73)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> technology<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Too<span class='feature_val'> (0.00)</span></span><span> Example 7547, token 110</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> regulators<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> still<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> handle<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> questions<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> about<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef3e4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> uranium</b><span class='feature_val'> (0.61)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Mr<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Plant<span class='feature_val'> (0.00)</span></span><span> Example 3008, token 41</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> began<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 2010<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> after<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> seven<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fef5ea'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> environmental</b><span class='feature_val'> (0.48)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> organizations<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> and<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> 19<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> forest<span class='feature_val'> (0.00)</span></span><span> Example 10426, token 40</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> hasn<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>�<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>t<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> reduced<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff7ef'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> drug</b><span class='feature_val'> (0.37)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> use<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> or<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> managed<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> to<span class='feature_val'> (0.00)</span></span><span> Example 3672, token 25</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> fate<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> of<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fed5a2'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Paris<span class='feature_val'> (2.17)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffaf4'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> Agreement</b><span class='feature_val'> (0.24)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> U<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>.<span class='feature_val'> (0.00)</span></span><span> Example 12460, token 63</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> has<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> been<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> included<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> in<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fff8f0'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> Horizon<span class='feature_val'> (0.34)</span></span><span class='token'\\n\",\n       \"            style='background-color: #fffcf9'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b> 2020</b><span class='feature_val'> (0.12)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> the<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> largest<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> EU<span class='feature_val'> (0.00)</span></span><span> Example 11185, token 38</span><br/>\\n\",\n       \"<script>\\n\",\n       \"    function showTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='inline'\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    function hideTooltip(element) {\\n\",\n       \"        feature_val = element.querySelector('.feature_val')\\n\",\n       \"        feature_val.style.display='none'\\n\",\n       \"    }\\n\",\n       \"</script>\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .feature_val {\\n\",\n       \"        display: none;\\n\",\n       \"        font-family: serif;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    #tooltip {\\n\",\n       \"        display: none;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'><b>&lt;|endoftext|&gt;</b><span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> him<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> from<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'> behind<span class='feature_val'> (0.00)</span></span><span class='token'\\n\",\n       \"            style='background-color: #ffffff'\\n\",\n       \"            onMouseOver='showTooltip(this)'\\n\",\n       \"            onMouseOut='hideTooltip(this)'>,<span class='feature_val'> (0.00)</span></span><span> Example 0, token 0</span><br/></details>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# get scores for mlp2tc[18482]\\n\",\n    \"cur_scores = get_feature_scores(model, transcoders[2], owt_tokens_torch[:128*100], 18482, batch_size=128, use_raw_scores=False)\\n\",\n    \"display_activating_examples_dash(model, owt_tokens_torch, cur_scores, header_level=None) # don't show dashboard with html headers\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"5b9e7f70-5999-41fb-b8a7-384b72f63baa\",\n   \"metadata\": {},\n   \"source\": [\n    \"`mlp2tc[18482]` is the only one that doesn't fit the pattern -- this fires on words related to climate change and carbon.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"f16a8f47-1ae8-42a7-8462-5bc9f40c68a8\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input-dependent feature connections\\n\",\n    \"\\n\",\n    \"Pullbacks and de-embeddings are useful for helping us understand general principles regarding what earlier-layer features cause a later-layer feature to fire. But these input-independent feature connections can be extremely dense. Luckily, on a given input, because of the sparsity of transcoders, the lower-layer features that are responsible for the higher-layer feature firing are extremely sparse! This means that looking at input-*dependent* feature connections can be very interpretable.\\n\",\n    \"\\n\",\n    \"Note the difference between the semantics of input-independent feature connections (pullbacks) and input-dependent feature connections:\\n\",\n    \"* For pullbacks, an earlier-layer feature's importance is determined by how much more the later-layer feature fires *if* the earlier-layer feature fires one unit more.\\n\",\n    \"  * This is the gradient of the later-layer feature activation with respect to the earlier-layer transcoder's feature activation vector.\\n\",\n    \"  * If $W_{dec}$ is the decoder matrix for the earlier-layer transcoder, and $n$ is the later-layer feature's encoder vector, then this gradient can be written as $W_{dec}^T n$.\\n\",\n    \"* For input-**dependent** feature connections, an earlier-layer feature's importance is determined by how much the later-layer feature's activation is due to the earlier-layer feature's *activation on the given input*.\\n\",\n    \"  * In particular, this is the pointwise product of the earlier-layer feature activation vector with the gradient of the later-layer feature activation w.r.t. the earlier-layer feature activation vector.\\n\",\n    \"    * This means that input-dependent feature connections are an example of an \\\"input-times-gradient\\\" attribution method, which has previously seen use in computer vision settings.\\n\",\n    \"  * If $W_{dec}$ is the decoder matrix for the earlier-layer transcoder, $n$ is the later-layer feature's encoder vector, and $z$ is the vector of earlier-layer feature activations, then this can be written as $(W_{dec}^T n) \\\\odot z$.\\n\",\n    \"    * Notice how input-dependent feature connections factor into two parts: a constant term $(W_{dec}^T n)$, and the earlier-layer transcoder feature activations $z$. To the extent that transcoder features are interpretable, both of these terms are interpretable. This is an example of the sort of analysis that makes us bullish on transcoders for circuit analysis: they make nonlinear feature attribution interpretable.\\n\",\n    \"  * Why is this a reasonable way to define input-dependent feature connections? Well, the activation of the later-layer feature is given by $\\\\operatorname{ReLU}(\\\\left(W_{dec}^T n\\\\right)^T z)$. If we denote the $i$-th component of $W_{dec}^T n$ as $\\\\left(W_{dec}^T n\\\\right)_i$, and the $i$-th component $z$ as $z_i$, then this can be written as $\\\\operatorname{ReLU}(\\\\left(W_{dec}^T n\\\\right)_1 z_1 + \\\\cdots + \\\\left(W_{dec}^T n\\\\right)_i z_i + \\\\cdots)$. Thus, if we ignore the ReLU, then the contribution of earlier-layer feature $i$ to this later-layer feature activation is given by $\\\\left(W_{dec}^T n\\\\right)_i z_i$. Collecting all these terms into a single vector yields $(W_{dec}^T n) \\\\odot z$.\\n\",\n    \"\\n\",\n    \"To find input-dependent feature connections, you can also use `display_transcoder_pullback_features()` -- the same function from before -- but with some additional arguments.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"id\": \"1bf01910-e1c4-4b11-8e7d-35ef21885d39\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #feebeb'>10226</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.029</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>15119</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.353</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffecec'>3567</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.026</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c4c4ff'>1136</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.147</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffeeee'>7865</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.021</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #c9c9fe'>6456</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.130</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffefef'>4580</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.016</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ceceff'>21674</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.115</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #fff2f2'>19674</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.007</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #dbdbff'>5797</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.077</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, all_paths[0][4][0], transcoders[2], k=5,\\n\",\n    \"    input_tokens=model.tokenizer(prompt, return_tensors='pt').input_ids, # pass our prompt as input\\n\",\n    \"    input_example=0, # our prompt has only one example in it\\n\",\n    \"    input_token_idx=-1 # look at the last token in our prompt\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"53cbff4f-5a01-4f28-ae99-94197d3a3ebe\",\n   \"metadata\": {},\n   \"source\": [\n    \"Look at that: in comparison with our previous input-independent attributions, the input-dependent attributions are far more sparse and far more digestible! Also, note that the top input-dependent feature, Feature 15119, was among the top input-independent features that we found earlier.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"3672e1cc-6075-479b-8700-e263efca4318\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Comparing pullbacks with mean input-dependent feature connections\\n\",\n    \"\\n\",\n    \"On any given input, the most important input-dependent features are likely different from the most important pullback features (input-independent). But what about the *average* behavior of input-dependent features? To what extent do the top features according to pullbacks correspond with the top features according to input-dependent connections *when averaged over a bunch of different examples*?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"c400025e-821f-4db4-9999-5d4414a78371\",\n   \"metadata\": {},\n   \"source\": [\n    \"In this experiment, we'll look at the mean importance of MLP2 transcoder features for our MLP8 transcoder feature across a number of dataset examples (in particular: on dataset examples where the MLP8 transcoder feature activates more than the 20th percentile). Then, for varying values of $k$, we'll look at the proportion of top $k$ input-independent pullback features that are also among the top $k$ mean input-dependent features.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"id\": \"877446df-2c19-45f9-8e5f-d341f7ff7fc5\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [01:11<00:00,  2.80it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"scores = get_feature_scores(model, transcoders[8], owt_tokens_torch, feature_idx, batch_size=128, use_raw_scores=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"id\": \"59066c96-5d8a-4cac-ba31-44cbc41f0c2f\",\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# get_mean_ixg() is a function from transcoder_circuits.circuit_analysis\\n\",\n    \"#  that gets the mean vector of input-dependent connections (input-times-gradient) over a set of examples\\n\",\n    \"mean_ixg = get_mean_ixg(model, owt_tokens_torch, transcoders[8], feature_idx, transcoders[2],\\n\",\n    \"    token_idxs=np.stack(np.unravel_index( # get all tokens where the feature's activation is more than the 20th percentile\\n\",\n    \"        np.arange(len(scores.reshape(-1)))[scores.reshape(-1) > np.percentile(scores[scores > 0], 20)], scores.shape\\n\",\n    \"    )).T,\\n\",\n    \")\\n\",\n    \"\\n\",\n    \"# compare to input-independent pullback\\n\",\n    \"pullback = transcoders[2].W_dec @ feature_vector.vector\\n\",\n    \"\\n\",\n    \"# compute number of features that are in top k features according to both pullback and mean ixg\\n\",\n    \"def _num_common_features(k): \\n\",\n    \"    a = set(utils.to_numpy(torch.topk(torch.from_numpy(mean_ixg), k=k).indices))\\n\",\n    \"    b = set(utils.to_numpy(torch.topk(pullback, k=k).indices))\\n\",\n    \"    return len(a.intersection(b))/len(a)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"id\": \"715f6b9b-de71-4e5c-ba28-ec1b8b804679\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"xs = np.arange(1,101)\\n\",\n    \"ys = [_num_common_features(k) for k in xs]\\n\",\n    \"plt.plot(xs, ys)\\n\",\n    \"plt.xlabel(\\\"Top $k$ features\\\")\\n\",\n    \"plt.ylabel(\\\"Percentage of features in common\\\")\\n\",\n    \"plt.title(\\\"Percentage of features in common among top $k$ features\\\\nfor mean IxG and pullbacks\\\")\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"61069a21-6b65-409f-a863-922da5c9c4df\",\n   \"metadata\": {},\n   \"source\": [\n    \"There's a decent overlap. In particular, here are the overlaps at specific values of $k$:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"id\": \"b47a8bfb-2659-48fc-a97f-9b6b9f53fd28\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Percentage of common features in top 10: 30.00%\\n\",\n      \"Percentage of common features in top 20: 25.00%\\n\",\n      \"Percentage of common features in top 50: 14.00%\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(f\\\"Percentage of common features in top 10: {_num_common_features(10) * 100:.2f}%\\\")\\n\",\n    \"print(f\\\"Percentage of common features in top 20: {_num_common_features(20) * 100:.2f}%\\\")\\n\",\n    \"print(f\\\"Percentage of common features in top 50: {_num_common_features(50) * 100 :.2f}%\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"6fe7c2b6-09f5-463d-95a1-599937c640a4\",\n   \"metadata\": {},\n   \"source\": [\n    \"Note that for other features, the pullback is an even better estimator of the mean input-dependent feature strengths. Let's repeat this experiment, but looking at the importance of MLP0 transcoder features on MLP5 transcoder feature 12450. (This is an example that came up in one of our case studies.)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"id\": \"372e9c3f-06eb-4fc4-b4f5-181066ec9e38\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 200/200 [00:54<00:00,  3.66it/s]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"my_feature = make_sae_feature_vector(transcoders[5], 12450, use_encoder=True, token=-1)\\n\",\n    \"scores = get_feature_scores(model, transcoders[5], owt_tokens_torch, 12450, batch_size=128, use_raw_scores=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"id\": \"aaca0b7c-f35f-439d-8cb1-57331f0f8834\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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d6R+/YsYNcfPHFJC4ujgAgY8aMCVuHcN7RpaWlwvoaj4JUVVWRO+64g7Rr147ExcWRCRMmkAMHDgg9WY8fP07uuOMO0rlzZ+J0Okl6ejoZOXIkeeaZZ7Q4qnf0hx9+SB588EGSnp5OYmJiyKhRo8iWLVs4+nfu3EluvPFG0qFDB+J0OknHjh3JpZdeSt544w2ObmM/GctatWqVFub1eskjjzxCOnToQNxuNxk+fDjZsGEDycrK4rzOS0tLyYMPPkiys7OJ0+kkqampZMiQIeTxxx8ndXV1VPv+5S9/4Whn28jr9ZIZM2aQ9PR0IkkS19YiLFmyhIwZM4bEx8eTuLg40r9/f/L8889Tcb766isybNgw4na7SXx8PLnsssvIjz/+SMVpSp8DIPfddx9Hi6iNoulzQoIezb///e9Jt27diNPpJB06dCCTJ08mBw4c0OJ8//33ZPDgwSQmJobyVhfRSEjwCNegQYOIy+UiycnJ5JprruGO7EU7X99//30ybtw4kpGRQVwuF+nUqRO58cYbya5du7g2sI4oNS8kQqJwI7VgoYnIyclBdnY2/vKXv2D27NmtTc4Zg9WrV2PcuHH47LPPfrbZ0IIFC20flne0BQsWLFiw0EqwhLAFCxYsWLDQSrDM0RYsWLBgwUIrwVoJW7BgwYIFC60ESwhbsGDBggULrQRLCJ+h6N69O3c3bLRQP30m+mNvanruuefw1VdfNUs5xhuu9u7di5kzZ2LEiBGIj4+HJEnCD5YXFhbiT3/6E0aMGIG0tDQkJSVhyJAheOuttyLeLf32229DkiTt5i0jpk+fLqx/3759hXn93//9H/r27YuYmBjtk31+v5+K88orr5jWtyXxyiuv4LrrrkN2dnZUn29ksWLFCgwdOlTrh1Pt79OBffv24amnnor4icNfCkSf4mxJbN++HWPGjEFycjIkScIrr7zSIuW89tprp61OZzqsyzrOYrz77ruc0GHvxH3uuedwww034Fe/+tUpl/Of//wHmZmZaNeunRa2ZcsWfPXVVxg8eDAuu+wyLF68WJh269at+OCDDzBt2jQ88cQTcDqd+Pbbb3Hvvfdi48aNeOedd4Tp8vPzMXv2bHTq1In7HqyK2NhY7pIM0U1Nzz77LJ544gk8+uijmDhxIjZv3ow//elPyM/Px1tvvaXF+81vfoPhw4fj7bffxr/+9S/T9jh8+DBee+01LFu2DMePHwchBN26dcPkyZNxzz33oHfv3qZpRXjjjTcQHx+PSy+91LQdzUAIwY033ojevXvjv//9L+Lj41vscpPmwL59+zBv3jyMHTtWeFGFhZbFHXfcgfr6enz66adISUlpsT547bXXkJaWdsoLjbMJlhA+izFgwIAWuc6RxeDBg7nJeuutt+K2224DAHz++eemwuPiiy/G0aNH4XQ6tbAJEybA5/PhH//4B+bNm4euXbty6e655x6MHj0aqamp+Pzzz4V522w2DB8+PCzt5eXleOaZZ3DXXXdp10OOHTsWfr8ff/rTnzBr1iz0798fQPDDBx07dsR3330nzEtRFDzxxBN4/vnnMXLkSMycORM9e/ZEXFwcjh07hq+//hrnnXce5s2bhz/84Q9h6TJi37592leCBgwYEHU6IHiXcEVFBa699lpcdtllYeM2NDS02DWPLYW2SHNrorGxEW632/TLVHv27MFdd92lfS2rraEtjgfLHN0CWL16NSRJwscff4w//vGPyMzMREJCAq666ioUFxejtrYWv/vd75CWloa0tDTcfvvtEb8opOb50Ucf4eGHH0bHjh0RGxuLMWPGYPv27adEpyRJqK+vx/vvv6+ZWI2mzvz8fPzud79D165d4XK50KlTJ9xwww3aF37CwfhpuXBISUmhBLCKiy66CID4Av+PPvoIa9aswWuvvRZVGeHw3XffwePx4Pbbb6fCb7/9dhBCmmS6veuuu/Dee+9h1apVWLt2Le677z5cccUVGD16NKZPn44vv/wSK1aswMsvv4xnnnkm6nyjbUsWTz31lHa15B//+EdIkqQpS0899RQkScK2bdtwww03ICUlBT179gQQ/EzfnDlzkJ2dDZfLhc6dO+O+++5DVVUVlX/37t0xZcoUfPPNNxg8eDBiY2PRr18/fPPNNwCC2xX9+vVDfHw8LrroImzZsiUsve+99552F/K4ceO0MamaLceOHYsBAwZg7dq1GDlyJOLi4nDHHXcAABYuXIiJEyciMzNTo+PRRx9FfX09Vcb06dORkJCAI0eO4Morr0RCQgK6du2KRx55hPuIyOuvv47zzjsPCQkJSExMRN++ffHYY49RcaKZI3l5efjtb3+LDh06ICYmBv369cNLL70ERVGovAoKCnDjjTciMTERycnJuOmmm4Qf+gCClqarr74aqampcLvdGDx4MBYtWsS1pyRJWLZsGe644w6kp6cjLi5O+LEUNW4gEMDrr7+utb2KoqIi3H333ejSpQtcLpe2ZcPeOT5v3jwMGzYMqampSEpKwgUXXIB//etf1KdFu3fvjr1792LNmjVaOeq4VOlgtyNU/mfc0go3HmpqajB79mxqDM+aNYsbD5999hmGDRuG5ORkxMXFoUePHloepwvWSrgF8dhjj2HcuHF47733kJOTg9mzZ+Pmm2+Gw+HAeeedh08++QTbt2/HY489hsTERPztb3+LKs8LLrgAb7/9Nqqrq/HUU09h7Nix2L59O3r06EHFnTJlCkpLS5GcnIyxY8di/vz51Epqw4YNuPTSSzFu3Dg88cQTAKDdIZyfn48LL7wQfr8fjz32GAYNGoTy8nIsXboUlZWV2ocWWgorV66Ew+HgTLclJSWYNWsW/vznP0e8u7ixsREdO3ZEaWkpMjMz8atf/Qrz589HamqqFmfPnj0A9HuNVWRmZiItLU17Hwkff/wxvvzyS2zbts3UhCfLMkaMGIHvv/8ew4cPx+WXX07dy9vcmDFjBs477zxcd911eOCBBzB16lTtQwEqrrvuOvzmN7/BPffcg/r6ehBC8Ktf/QorVqzAnDlzMGrUKOzatQtz587Fhg0bsGHDBiqPnTt3Ys6cOXj88ceRnJyMefPm4brrrsOcOXOwYsUKPPfcc5AkCX/84x8xZcoUHD9+3PTjDZMnT8Zzzz2Hxx57DP/4xz9wwQUXAICmHABBH4Lf/va3+MMf/oDnnntOU1AOHz6MK6+8ErNmzUJ8fDwOHDiA559/Hps2beK2JPx+P66++mrceeedeOSRR7B27Vo8/fTTSE5OxpNPPgkA+PTTTzFz5kw88MADePHFF2Gz2XDkyBHs27dPyyeaOVJaWoqRI0fC5/Ph6aefRvfu3fHNN99g9uzZOHr0qKZINjY2Yvz48SgoKMCCBQvQu3dv/O9//8NNN93EtdOqVatwxRVXYNiwYXjjjTeQnJyMTz/9FDfddBMaGho4E+8dd9yByZMn48MPP0R9fb1Q6Z08eTI2bNiAESNG4IYbbsAjjzyivSsqKsJFF10Em82GJ598Ej179sSGDRvwzDPPICcnB++++64WNycnB3fffTe6desGANi4cSMeeOAB5Ofna2375Zdf4oYbbkBycrJWf3ZcRgvReGhoaMCYMWNw8uRJrV/27t2LJ598Ert378b3338PSZKwYcMG3HTTTbjpppvw1FNPwe12Izc3lxsvLY5WuzDzLIZ6Z+9VV11Fhc+aNYsAIA8++CAV/qtf/YqkpqZSYew9tWqeF1xwAVEURQvPyckhTqeTzJgxQwv79ttvyeOPP04WL15M1qxZQ/7+97+TLl26kPj4eLJjxw6qnPj4eO4+XEIIueOOO4jT6ST79u0zrafZnbYsPvvsM+4O43BYunQpsdls5KGHHuLeXX/99WTkyJFaG5jdjfvyyy+Tl19+mSxbtowsW7aMPP744yQuLo707duX1NbWavHuuusuEhMTI6Sjd+/eZOLEiVy46B7ic845h7z55pva8969e8moUaNITEwM6d69O/nwww9JVlaW1gazZ88mv/3tb6NqDyPOPffciPdlG2F2t7NahyeffJIK/+677wgA8sILL1DhCxcuJADIW2+9pYVlZWWR2NhYcvLkSS1sx44dBADJzMwk9fX1WvhXX31FAJD//ve/YekNN1bGjBlDAJAVK1aEzUNRFOL3+8maNWsIALJz507t3W233UYAkEWLFlFprrzyStKnTx/t+f777yft2rULW040c+TRRx8lAMhPP/1Ehd97771EkiRy8OBBQgghr7/+OgFAvv76ayreXXfdxd193rdvXzJ48GDi9/upuFOmTCGZmZlElmVCiD4/p02bFrYeRkBwb/bdd99NEhISSG5uLhX+4osvEgDcfdUqZFkmfr+fzJ8/n7Rv357iW2bj2IyniO5BNxsPCxYsIDabjbtL/fPPPycAyJIlSyj6q6qqhPSfLljm6BbElClTqOd+/foBCGqdbHhFRUVUH7mfOnUqZSbKysrCyJEjsWrVKi3siiuuwDPPPIMpU6Zg9OjRuO+++7Bu3TpIkqRpo5Hw7bffYty4cRrNpwvbtm3DjTfeiOHDh2PBggXUuy+++AKLFy/GP//5T9M9LRUPPfQQHnroIUyYMAETJkzAM888gw8++AAHDhzAP//5TypuuLwilQMEPcHz8/Nxyy23AAiuai6//HLExsbiv//9L/785z9j7ty5KCgo0NJcddVVlMYdCASoP3Ka7tC5/vrrqWeVJnY19etf/xrx8fFYsWIFFX7++edT3yZWx8vYsWOpvTk1PDc392fRm5KSIvwc4LFjxzB16lR07NgRdrsdTqcTY8aMAQDs37+fiitJEq666ioqbNCgQRRtF110EaqqqnDzzTfj66+/FnrCRzNHVq5cif79+2vbKyqmT58OQojW3qtWrUJiYiKuvvpqKt7UqVOp5yNHjuDAgQPaWDOOmSuvvBKFhYU4ePAglYbt46bim2++wbhx49CpUyeqPHXfeM2aNVR9x48fj+TkZK0fnnzySZSXl6OkpORn0SGCaDx88803GDBgAM4//3yK3ssvv5wyaatWqBtvvBGLFi1Cfn5+s9MXDSwh3IIwmj0BaJ9sMwv3eDwR8+zYsaMwjP0oO4vu3bvjkksuwcaNGyOWAQClpaVN/lTdz8X27dsxYcIEnHPOOViyZAlloqqrq8N9992HBx54AJ06dUJVVRWqqqrg8/kAAFVVVdx+D4trr70W8fHxVBu0b98eHo8HDQ0NXPyKigqur0Q4dOgQevbsifj4eABBJlBXV4cvvvgCEydOxE033YR3332XOvKkmipVOJ1O6u/999+PWG5zIDMzk3ouLy+Hw+FAeno6FS5JknCctcQYbwq9QHBsjBo1Cj/99BOeeeYZrF69Gps3b8Z//vMfAPw3euPi4rTvW6uIiYmhaLv11lvxzjvvIDc3F9dffz06dOiAYcOGYfny5VqcaOZIeXm5kOZOnTpp79V/RVs87HxX95pnz57NjZmZM2cCAKcwiMpvCoqLi7F48WKuvHPPPZcqb9OmTZg4cSIA4J///Cd+/PFHbN68GY8//jiA6L6V3FSI6lZcXIxdu3Zx9CYmJoIQotE7evRofPXVVwgEApg2bRq6dOmCAQMG4JNPPml2OsPB2hNuYxA5ahQVFXFHj0QghETt5JOeni50imopbN++HePHj0dWVhaWLVuG5ORk6n1ZWRmKi4vx0ksv4aWXXuLSp6Sk4JprronoSMW2gboXvHv3bgwbNkwLLyoqQllZWVTeyH6/n2Lqx48fR+/evanzy+ze78mTJ5GWlqY9b968mXqfnZ0dsdzmALvSb9++PQKBAEpLSylBTAhBUVFRi+5hRwORZWLlypUoKCjA6tWrtdUvAM6RrKm4/fbbcfvtt6O+vh5r167F3LlzMWXKFBw6dAhZWVlRzZH27dujsLCQC1etIuoYaN++PTZt2sTFY+e7Gn/OnDm47rrrhGWyR9CiseaEQ1paGgYNGoRnn31W+F5VKD799FM4nU5888031HxoinOjmo51HjM7ky+qW1paGmJjY02PNxrn3TXXXINrrrkGXq8XGzduxIIFCzB16lR0794dI0aMiJrunwNLCLcxfPLJJ3j44Ye1wZebm4v169dj2rRpYdMdP34cP/74I8aPH0+Fx8TECDXUSZMm4cMPP8TBgwdb/Fzpjh07MH78eHTp0gXLly9HSkoKF6djx46UyV3Fn//8Z6xZswbffvstNblE+Pzzz9HQ0EAdW7riiivgdrvx3nvvUUJY9dKM5vx0t27dcPToUciyDLvdjoyMDJw4cUJ7BoLtb8R7772Hyy+/XHs+HUfJosFll12GF154AR999BEeeughLfyLL75AfX19xGNOPxeq9aMpqyZ1LrDOPW+++Waz0BQfH49JkybB5/PhV7/6Ffbu3YusrKyo5shll12GBQsWYNu2bZqjGQB88MEHkCQJ48aNAxD0Bl+0aBH++9//Uibpjz/+mMqvT58+OOecc7Bz507tSF1LY8qUKViyZAl69uwpnJsqJEmCw+HQxjwQ7McPP/yQi2vGd1Snxl27dlFt+t///rdJ9D733HNo37591MpsTEwMxowZg3bt2mHp0qXYvn27JYQtiFFSUoJrr70Wd911F6qrqzF37ly43W7MmTNHizN+/HiMHj0agwYNQlJSEnbv3o0XXngBkiTh6aefpvIbOHAgVq9ejcWLFyMzMxOJiYno06cP5s+fj2+//RajR4/GY489hoEDB6KqqgrfffcdHn74YdObp1Q0NDRgyZIlAKCZf9esWYOysjKNqQHAwYMHNcXg2WefxeHDh3H48GEtn549eyI9PR1ut1t4U9R7770Hu91OvcvNzcXUqVPxm9/8Br169YIkSVizZg1eeeUVnHvuuZgxY4YWNzU1FX/605/wxBNPIDU1Vbus46mnnsKMGTO0M8LhoArQ5cuX44orrsCkSZPwwAMP4JFHHsFjjz2G2tpa3HfffQD0S0a+/fbbiEd2VGzZskU7slFTUwNCiHY2+sILL0RWVlZU+USDCRMm4PLLL8cf//hH1NTU4OKLL9a8owcPHoxbb7212coSQbU8vPXWW0hMTITb7UZ2dnZYS8/IkSORkpKCe+65B3PnzoXT6cS///1v7Ny585TpuOuuuxAbG4uLL74YmZmZKCoqwoIFC5CcnKxZA6KZIw899BA++OADTJ48GfPnz0dWVhb+97//4bXXXsO9996ref9PmzYNf/3rXzFt2jQ8++yz2pbM0qVLOdrefPNNTJo0CZdffjmmT5+Ozp07o6KiAvv378e2bdvw2WefnXK9RZg/fz6WL1+OkSNH4sEHH0SfPn3g8XiQk5ODJUuW4I033kCXLl0wefJkvPzyy5g6dSp+97vfoby8HC+++KLQ83ngwIH49NNPsXDhQvTo0QNutxsDBw7EhRdeiD59+mD27NkIBAJISUnBl19+iR9++CFqemfNmoUvvvgCo0ePxkMPPYRBgwZBURTk5eVh2bJleOSRRzBs2DA8+eSTOHnyJC677DJ06dIFVVVVePXVVyl/gtOCVnQKO2uhevJ99tlnVLjq+cd67Ym8bc28oz/88EPy4IMPkvT0dBITE0NGjRpFtmzZQuU3a9Ys0r9/f5KYmEgcDgfp1KkT+e1vf6t5YhqxY8cOcvHFF5O4uDgCgPJYPHHiBLnjjjtIx44didPpJJ06dSI33ngjKS4upuoj8o5WvXJFf1lZWVybmP0ZvUJFEHlHV1RUkGuvvZZ0796dxMbGEpfLRc455xzyhz/8wdQT8tVXXyW9e/cmLpeLdOvWjcydO5f4fD5hXFF/PfXUU2TAgAGkrq6OEELI4sWLSUpKCgFA7HY7efTRR0lWVhax2Wxk4sSJwr4IV8dTbZ9I3tHGOqhobGwkf/zjH0lWVhZxOp0kMzOT3HvvvaSyspKKl5WVRSZPnsylh8DD1owOEV555RWSnZ1N7HY7VccxY8aQc889V5hm/fr1ZMSIESQuLo6kp6eTGTNmkG3btnFtZOZNr7aHivfff5+MGzeOZGRkEJfLpY39Xbt2UekizRFCCMnNzSVTp04l7du3J06nk/Tp04f85S9/0byYVZw8eZJcf/31JCEhgSQmJpLrr7+erF+/XtjPO3fuJDfeeCPp0KEDcTqdpGPHjuTSSy8lb7zxhhbHjN+Eg6jvCCGktLSUPPjggyQ7O5s4nU6SmppKhgwZQh5//HFtzBNCyDvvvEP69OlDYmJiSI8ePciCBQvIv/71L45P5OTkkIkTJ5LExESOJxw6dIhMnDiRJCUlkfT0dPLAAw+Q//3vf0LvaLPxUFdXR/70pz+RPn36EJfLRZKTk8nAgQPJQw89RIqKigghhHzzzTdk0qRJpHPnzsTlcpEOHTqQK6+8kqxbty7q9moOWJ8ybCNYvXo1xo0bh88++ww33HBDa5MDILgKvf3223HkyBFkZWXB4Ti7DSuEEMiyjPnz5+Ppp59GaWmpZgJvbGzE2LFjkZiYiEWLFiE1NRWBQACHDx9GRkYGUlNTcejQIWRkZHD73RYsWPjlwvKOtvCz0atXLzidztP2QYPWgmqqYk36QPBO6v/9739QFAX9+vXDc889h3379qFLly5wOp3YuXMnPvvsMwwZMoQ75mPBgoVfLs7upYuFFsVVV11FefUaP+BwNmLq1Km45JJLtGe2vmlpafj+++/x0Ucf4f/+7//wpz/9STvv63A4cMkll+Dll19ucecmCxYstB1Y5mgLFloI1dXV2lGUrKysNnexvAULFloelhC2YMGCBQsWWgnWnrAFCxYsWLDQSrCEsAULFixYsNBKsByzIkBRFBQUFCAxMfFnX/9mwYIFCxbaLgghqK2tRadOnU75O98sLCEcAQUFBejatWtrk2HBggULFs4QnDhxotk+cGMJ4QhITEwEEGx09YP3FixYsGDhl4eamhp07dpVkwvNAUsIR4Bqgk5KSrKEsAULFixYaNatScsxy4IFCxYsWGglWELYggULFixYaCVY5mgLFixYYBAIAAcOAMeOAYQAXbsCAwYALldrU2bhbIMlhC1YsGDBgJIS4MMPgdpaQD2Fsn07sGwZcPPNQDN+vtmCBcscbcGCBQsqGhuB994D6uqCz4oS/AMArxf46COgsrLVyLNwFsISwhYsWLAQwo4dQEND0ATNgpCgmdrw4TALFn42LCFswYIFCyHs308/F8plOCEXa5+kJATYu7cVCLNw1sISwhYsWLAQgs9HPxcpFShTquGF/sLvP81EWTir0eaE8GuvvYbs7Gy43W4MGTIE69atiyrdjz/+CIfDgfPPP79lCbRgwUKbRceOujOWEQqCK2FJAjIyTjNRFs5qtCkhvHDhQsyaNQuPP/44tm/fjlGjRmHSpEnIy8sLm666uhrTpk3DZZdddpootWDBQlvEhRfqjlgiEAJcdNHpo8fC2Y82JYRffvll3HnnnZgxYwb69euHV155BV27dsXrr78eNt3dd9+NqVOnYsSIEaeJUgsWLLRFdO4MjB4d/C26mfD884G+fU8rSRbOcrQZIezz+bB161ZMnDiRCp84cSLWr19vmu7dd9/F0aNHMXfu3KjK8Xq9qKmpof4sWLDwy8GllwI33BA0TatISQGmTAGuvlosnC1YOFW0mcs6ysrKIMsyMpgNmYyMDBQVFQnTHD58GI8++ijWrVsHhyO6qi5YsADz5s372fRasGCh7WLAgOBf7XdBE/S0kUBGcmtTZeFsRJtZCatgv15BCBF+0UKWZUydOhXz5s1D7969o85/zpw5qK6u1v5OnDjxs2m2YMFC24TdDjgc1urXQsuhzayE09LSYLfbuVVvSUkJtzoGgNraWmzZsgXbt2/H/fffDwBQFAWEEDgcDixbtgyXXnoply4mJgYxMTEtUwkLFixYsGDBgDazEna5XBgyZAiWL19OhS9fvhwjR47k4iclJWH37t3YsWOH9nfPPfegT58+2LFjB4YNG3a6SLdgwYIFCxaEaDMrYQB4+OGHceutt2Lo0KEYMWIE3nrrLeTl5eGee+4BEDQl5+fn44MPPoDNZsOAAQOo9B06dIDb7ebCLVg4nSCEQFEAu92ycVqw8EtHmxLCN910E8rLyzF//nwUFhZiwIABWLJkCbJCnzUpLCyMeGbYgoXWQnmZgp9+DGDfbhmBAJCQCAwe6sDQ4Q7ExFgC2YKFXyIkQkRXlVtQUVNTg+TkZFRXVyMpKam1ybHwM0AIQWMDoCgE8fESJNvpE3z5J2R8+oEPARkghssgJAlIS5dwyx0xcLstQXym4a/LDwEAbhnWDR2S3GHjVlUqOH5EhiwDGZk2dOlmEzqNWmi7aAl50KZWwhYsnAoIIdi7M4CffvCjvCyocyYlSxgy3IkhwxywtbAwVmSCLxf5EAjwX+chBCgrJVi7wo+Jk60vxrdF+LwE337tw4F9MoCgYkUI0D5NwjW/jkF6RptxvbHQCrBGh4WzHmuW+7HkK58mgAGgpppg1VIfFn/uBVFa1hh09LCCulpdABNC4CMB7T0hwK7tMnxeyyjV1kAIwRefeHFwv2wIC/5bUU7w73c9qK4Kcw+mhV88LCFs4axGwUkZm9abf/bm4D5ZW8G0FIqLFOqjAMeUUuwM5KFSqdfCAgGgssISwm0NuccU5OUopt8f9nmBzRsC/EsLFkKwhLCFsxo7tvghGUa5nwTgIbpQliRg++aW/Tadw0GboSuUOgBAkVLNxbPQtrB3d4AaX1VKAwqUKur7w3t2WELYgjksIWzhrEZpMaEcobYHTmBX4CQCJLj6JQQoK2lZc2HPc+zClZIRye0kpLa3nHjaGjwNtKPdYbkY+XIlakijFub1Apb/qwUzWELYwlkNl4mvkwcBQ5yWFX7pGTb06GULe/XhiFGO0+qtbaF5kNxOolbCKnzQtzgSEvnrdi1YUGEJYQtnNfqeG97GK0mR4zQHrr7ehU5dJK1MANrsGznagfMusLc4DRaaH4MucFArYRaSBJw/xHn6CLLQ5mDtQlk4q9H/PAc2rPOjvo5wJmFJApxO4IKLWn4auGMl/Pb2GOQeV5D3rQ2BAEGndjb8bkoMUtN4XdjvI6iqCDp0paTZWvwYlYVTQ4eONgweasf2LbxznyQBKakShg632KwFc1ijw8JZjZgYCb+Z7sbnH3lQVUkok3BsLHDdVDeS2p0eg5Bkk9C9px3n9AmuejOT7ZwA9nkJ1q/yYPc2H/y+YFhCkoQLL47B+Re5LLPmGYgJV7qQ3C6An370AyEfP5sN6D/QjsuucCHGuoTFQhhYQtjCWY/U9jbMeCAWxw7LOLnSBkKA8Re4MHJoHByO1mOQrDz1+wk+/6AexQUytWqvqyFY9a0HVRUKxk2KPb1EWogIySZh2CVODB3uQNXXdigKMGVwDIb2sr7GZiEyLCFs4RcBm01Crz4OZOcFh3zvfo5WFcAi7N7qQ1G++Znl7T/50P88FzI6WfvHZyLsDgmJSUHLhjv2zBpbFs5cWI5ZFiycIdi52Uc91xIvPIabtSQbsGebj01mwYKFNgxLCFuwcIagulJ3s20kfuwNFGFHIF8LIwpQWdGyt3tZsGDh9MISwhYsnCFwGT5n2ED4W7wkyTJzWrBwtsESwhYsnCHoN8gZ9kIPQoA+51pfWrJg4WyCJYQtWDhDcMHwGDhdvNc0EAxL72hDzz6WL6UFC2cTLCFswcIZguQUG359WwISk/WbtVSB3CXLjhtujYfNbpmjLVg4m2Cp1RbOavg8Cg7v9aKmSoE7VoLPo8DlPnN1z4xOdtz5YCJWb5Hh2emAZAN+e2UCOmRax5LaEqw7VSxEC0sIWzhrsW9bI9YuqUMgELzBiBBgh68RHTo5oAw5c79qI9kkdMlyoEt1cHpaAtiChbMXZ+6SwIKFn4Gj+7xY+d+gAAYARdG/6VtSEMCmtfWtR5wFCxYshNDmhPBrr72G7OxsuN1uDBkyBOvWrTON+8MPP+Diiy9G+/btERsbi759++Kvf/3raaTWQmuAEIKNK8ML2QM7vKivbdnvCFuwYMFCJLQpc/TChQsxa9YsvPbaa7j44ovx5ptvYtKkSdi3bx+6devGxY+Pj8f999+PQYMGIT4+Hj/88APuvvtuxMfH43e/+10r1ODMRfFJH/ZuaUB5UQDOGAk9+7vR5/xYuGLanJ6GylIZlWX6pRY+IiNPqUGGLV4LIwQ4dsCLgRe23l3MEqyNQwsWfuloU0L45Zdfxp133okZM2YAAF555RUsXboUr7/+OhYsWMDFHzx4MAYPHqw9d+/eHf/5z3+wbt06SwiHQAjBxuV12LG+HpIN2rdRC3P92PZDPa65LRXt0trUMIHXS+/3HlOqUK40oljRV8eSBPg8Z+6+sAULFn4ZaDPLHJ/Ph61bt2LixIlU+MSJE7F+/fqo8ti+fTvWr1+PMWPGtASJbRIHd3qwY31QOLEfJ2+sU/C/f1dCUdqWsEpqRzsyNRruX1ZBCJCcajk8WbBgoXVxSkscRVFw5MgRlJSUQFFozj169OhmIYxFWVkZZFlGRkYGFZ6RkYGioqKwabt06YLS0lIEAgE89dRT2kpaBK/XC6/Xqz3X1NT8PMLPYBBCsOOHujDvgZpKGbmHvMju6z6NlP08xCfakN3HhZxDPuqTgEa43EB2H+v2KQsWLLQumiyEN27ciKlTpyI3NxeE4XCSJEGWW/aCefaj5oSQiB86X7duHerq6rBx40Y8+uij6NWrF26++WZh3AULFmDevHnNRu+ZDE8D4fZOd8nl6GiLQxdbAoDg0Z784742JYQB4JLLE1CYVwmvhx2jwX9HTUyA/Qz7lKEFCxZ+eWiyOfqee+7B0KFDsWfPHlRUVKCyslL7q6ioaAkaAQBpaWmw2+3cqrekpIRbHbPIzs7GwIEDcdddd+Ghhx7CU089ZRp3zpw5qK6u1v5OnDjRHOSfkSCMmfmEUgcPCSBHrmHinU6qmgfJqXbc+LsU9OzvgtH/KT7Jhj7nudHtDP/getvaALBgwcKposkr4cOHD+Pzzz9Hr169WoIeU7hcLgwZMgTLly/Htddeq4UvX74c11xzTdT5EEIoczOLmJgYxMSc2Qy6uRAbb0NCsg111UEpqwhYv6IAHbs5TzdpzYKkFDuu+HUy8jtUoKjSC4cDmrc3scScBQsWzgA0WQgPGzYMR44cOe1CGAAefvhh3HrrrRg6dChGjBiBt956C3l5ebjnnnsABFex+fn5+OCDDwAA//jHP9CtWzf07dsXQPDc8IsvvogHHnjgtNN+JkKySRg0PB7rl9aK30uAO86GHv3alimahdMlIS6+zfggWjgLYB0/sxAtohLCu3bt0n4/8MADeOSRR1BUVISBAwfC6aRXSYMGDWpeCg246aabUF5ejvnz56OwsBADBgzAkiVLkJWVBQAoLCxEXl6eFl9RFMyZMwfHjx+Hw+FAz5498ec//xl33313i9HY1jBwWByKT/pwdK+Xuu9WkgCHU8Kkm9tZe6cWLFiw0EKISgiff/75kCSJcsS64447tN/qu9PhmDVz5kzMnDlT+O69996jnh944AFr1RsBNpuECde3Q8/+XpSvrEVZOWCzSzhveDwGXBiHxHbWMZ7WgKX2WLDwy0BUQvj48eMtTYeFVoRkk9DzXDeGSUmIzw8qWiMmJLYyVb9sWDvWFiz8MhCVEFbNvQCwdu1ajBw5Eg4HnTQQCGD9+vVUXAsWLFiwYMGCOZrsrTJu3DjhUaTq6mqMGzeuWYiyYOEXAcvmbMHCLx5N9o42uxyjvLwc8fHxghQWLFiwYMEMAZ+Ck0ca4W1QkNDOgcwebthslob2S0HUQvi6664DEHTCmj59OnWWVpZl7Nq1CyNHjmx+Cs8CKApBeYEPfq+CpPZOJLRrWx9EsGDBQvODEIJ9G2uwfVUV/D7dCyAu0Y6RU9qja5+4VqTOwulC1NIgOTkZQHDgJCYmIjZW/wScy+XC8OHDcddddzU/hW0ch7bVYvuqKjTU6l7jnXq4MXxyeyS3b5uXYFiwYOHnY++GGmxeVsmFN9TK+P7TEkz8bQY692y9T21aOD2IWgi/++67AIKfA5w9e7Zleo4Ce9ZXCydZ4XEPvvlnIa7+XSYSUy1BbMHCLw1+r4JtK6vMIxBg87IKdLqnU8S78S20bTTZMWvu3LmWAI4CnnoZW77nBTAQ/DqR36dg20rxewunDkUmqK8OwFPfsufVLVj4Ocg70AA5oJugG0kAOUo9AoaL2iuL/agu9bcGeRZOI5q8OTl48GChZiZJEtxuN3r16oXp06f/4j2lj+2upz6j5yEyqokfHaSY4OUmCnB8XwNGeBS43NaVij8XAb+CPT9U4cDmGngbgowsNdOFQaNSWpkyCxZ4NNbLkCRoPGKzXAmFEDTYZPS3J1Hx2rUOiRZOE5rM/a+44gocO3YM8fHxGDduHMaOHYuEhAQcPXoUF154IQoLCzF+/Hh8/fXXLUFvm0FddQBGB8eNcjn2yzUoII1aGFGAxjprxfZzIfsVLP+wCLvWVmkCGAAqinxYvagYhccaw6S2YKH5EcmCHJ/koJR0JfRQTXxcPAtnN5rcw2VlZXjkkUfwxBNPUOHPPPMMcnNzsWzZMsydOxdPP/10k75udLbBHWejPygf+l1J/OhsCI6JtVbBPxcHttSg5ISHv2Yq9Jy7vx5ZSfFwua0rOC2cGejaJxbOGAl+r/huNEkC0rvEIMly3jzr0WQJsGjRItx8881c+G9+8xssWrQIAHDzzTfj4MGDP5+6NoweAxNoIcxAkoDOPd1wx1uC4efi4KYaSgDXkwB8hr01SQLKC31cOjlAkLOnFpu/K8XWpWUoONLAfWPZgoWWgMNpw7BJ7YXvJAmQbMBFl6eeZqraDhSZ4MSBOqz/qhhrPyvCrjUVaKgNtDZZp4Qmr4TdbjfWr1/Pfcpw/fr1cLuDn7xTFOUX801eMyS0c6DfRYnYv4n/TKA6yQZfau1X/lwoCkFtpT756kkAmwJBh7dxznQAwX031lGrvMCLH74pgqdehhRSRfdtqEJymhPjbumExJTTuwKpKPSi4Eg9FJkgNTMGSpKlDJztOOf8BNjtCDpwlunhqR1dGH5lKtK7/LJ5qBkaagL4/sN8VJf6IdmC8ztvH7BrTQWGTU7HOUOSW5vEJqHJQviBBx7APffcg61bt+LCCy+EJEnYtGkT3n77bTz22GMAgKVLl2Lw4MHNTmxbw0VXpMLukLDvpxrA4OQYl2THqF+lIb2zNcl+LiQJsDskzdO0ivDepJIE2O36Jp3PI2PdF0VIlIPD37BoRk2FH8vfz8dVM7vB6WrZrQIJgLdBxtpFhSjOaQzuI0pBemriAmjoRRCXaO0Jns3oMTAB2efG49CXtZD9BKnJLlw9qVNrk3XGgigEKz4qQE25P/QcCg/9b+PiUsS3c6JTz7Zz0UmTZ/if/vQnZGdn4+9//zs+/PBDAECfPn3wz3/+E1OnTgUA3HPPPbj33nubl9I2CJtNwoUTUzHwkmQc+aIOskzQJzMRv57QBZJ1LV2zQJIkZPWPx/E9dZQwNYIQIDldX9mW53uREIgRfqmIKEB9VQA5u2tbXKMmBFjxYT4qi7zas0qUp17GsR116D20bWn1FpoOySZpDlixZ5DfAiEEpXkelOQ2AJKEjKxYpHV1t+q55YKjDagq4beWVEgSsGdd5dkthAHglltuwS233GL63niblgXAHWdHakcXACC1g8sSwM2Mc0cmI2dvnVCoSlLwGkCjg0tliRfdSExw1UkIjigNcEs2dLXp4zZ3b12LC+GKIi98hWKzMyFBrb/0pKdFaWhJ+BplFByph+xXkJQeg7QurcvAI4EQgrITjSg4HNwWSMl0gyjklObrGVzNqFBX6ceaTwtQVezV6kIIkNIxBqN/0wkJ7VrHYezkwfqgCTqkcOcrHpQSLwbYkuCQJBACFOc0IuBX4HC2DafXU7Z1+Xw+lJSUQFHo5Ue3bt1+NlEWLDQFqR1jcOnNHbHms2KgMcgAifbOhb69k1Eb0PeNFcP2cB1knFCCR5iMQtjvNVlWNyPK8z1IlGI0B75ixYtaEkBPW1CLJwSoKva2OB3NDUUh2LWyDAc2VEKRdSUjKd2FEb/KRPvO7lakTozGugDWfpKP8nyP5iNAFOAAKtHt3F/Wt7V9jTKWvXMCnvrgnDE6mFYVe7H83ROYcm8WnK2wajdecAIAB+U6AMBJqRHdJX31qwQI0EYcy5usKhw+fBijRo1CbGwssrKykJ2djezsbHTv3h3Z2dktQaMFCxHRuVccbnwkC4NGp6B9pxikd4nB5dMzMfl3nbnLUNxxNu0zggGBC7tkA5I7uFqc5oBfoRjcHrkWuUojKgz72kYh1lawdUkx9v1QwdFeW+bD9+/lobrkzFIsFJlg5QcnUFEQtDoQRV9pBQIKcnbVoKbc3AR6tuHo9mo01gWE2zuEAA3VARzbWXP6CUNwJS6iSzZMpLgkO5xt6AKkJq+Ep0+fDofDgW+++QaZmZlntHnJwi8LDpcNXfvEoTMJasQdu4u3Rdp3dgOHYfo9X6LgtOzFxiY4IFWCYyp+EI20tsRMAKC23IfDW6qF7wgJrlB2rynHJb8+M5yPZL+CjV8Votpsn5EABARHtlajV3aSOM5ZhuO7aqkjf3lKIyRI6GpzU3H6DDv9pzt6nJeI7d+XcytiDRLQ56J2kCQJ3oYAqoq9sNkkpHZyw36GmqebLIR37NiBrVu3om/fvi1Bj4WzDA3VftRX+xETa0dimuuMUNradXChYyAGjTnic4X9R7ZD2mkwmWZkxYLkhjnbKAHtO515pttwOL6rhrqOsYYEUEn86Cq5YQvt2Z3YV4uAT4GjBb3P/V4ZeXtqUFPmgzPGhi79EtEug25L2a9g1YcnUJKn3qgWHJsFoW2B3oZtgRMH+KOGZyu8Dfp+jZ8oOCw3AAAypRg4QvPXGOd0IibWjouvy8C6z4qE7zt2j0XP8xKx8csC5O6u1hRcZ4wNvYen4twxaWfct5qbLIT79++PsrKyyBEt/KJRVezBjqXFKD5Wr4UlZ8TgvPEZyDwnoRUpC3pUD7+qA6r2ebF+fQkQsqwltXfi3EtS0PP807MHGJfkQM+Ridi3nv+QhyQFV8qtKYRlv4KjWytxZHMl6qv8cMTYkDUwGX1GpCK+ndhc762Xg7IsJIQ3BYKrYptdQlcpWBdCgvuOLSWEc3dXY9N/CyH7SXB/lwB7Vpehc98EjLius1buoU2VKD1BC2AA2BfaZ0yV9E1FOUBACDkjlMiWRlKaC421ARACyIYlMQEBIEGSgKS01ttwzeqfgLg7u2DvD5XAnjKAALEJdgwZ1R49z0/CyvdyUVPqpbZ6/F4Fe9eUoa7Sh+HXnllfpmryLHj++efxhz/8AatXr0Z5eTlqamqov5bGa6+9huzsbLjdbgwZMgTr1q0zjfuf//wHEyZMQHp6OpKSkjBixAgsXbq0xWn8paOq2IPv3z6OkuP1VHh1iRdr/52HE/taZz/JCJtdwoBRKbhiRhf0G5GMvsOTMWhUEnK2luPrFw/h238cwf51ZS2u8Q+e0B4XTU5HXLKuD9sdQPeBiehxXiIaqn3Y9FU+fvw0D7uWF6O2/PTspwZ8Cla9n4vt3xWjttwHRSbwNcg4sqkCS18/hspC8X3ccUkO/vpQAHVEb0ebHXDFtYxTT9HRemz4ogCyP0gEUfRVecHBOmz4T74W9/DmKgOtBPVEht+wN+A3VCQh2XFGMe6WgKcugJpSL7IHJoa97Y8Q4Jwh7VqEBjmgoKKgERX5jQj4zJ0j07u4MfY3mRg0OgUDR6fgkus7ov/IFBzfUYVqRgAbkburBmUnzqy75Ju8Eh4/fjwA4LLLLqPCVS1RlluOaS1cuBCzZs3Ca6+9hosvvhhvvvkmJk2ahH379gm9steuXYsJEybgueeeQ7t27fDuu+/iqquuwk8//WRdJoLQkYzcBtSW++B02yAHmscjePu3RVAChJ8IoectiwvRqXci7I7WZ2qSJMHutCFvVzU2bSXaKs5bL2PXyhIc3lSBS+/ojoQU8cqvptQLT10A7kQHktKafvmKJEnofWE7nDMkGYcWe0AUgglDOoEoBKsWFqGxxo8clw0ggCTV4sCPZRgwrgP6j0n/mTUPghCCipONqK/ywxVnR4fu8bDZJexeWYKKfJ5ZERIU0D8uPInJD/biju90Py8JO1eaW8okG5A1MKnFjo/sWVNKrcSNIATIP1CHqmIPEtvHoL5Kd4CrIzI2BqphMxG02eedHee1iUJQfrIRjTV+xCQ4kNYtDlWFHuxeoVutCIDYhBg01on5Qde+Cejcu3k/Z6vIBPvWluLwT+Xwe4LlOlw29BiSgoGXdjDfz5WCK3O1145uqaL6vkzxI0aSkCgFRZ1kA45tq0J6tzPnHHGThfCqVatago6o8PLLL+POO+/EjBkzAACvvPIKli5ditdffx0LFizg4r/yyivU83PPPYevv/4aixcvbjUhfKYo06W59dj8dQHqKnSHlP1ogLezA+lZpz5A6yt9KMlp0J4VQlBK/EiVHHCGzn74GmUUHq5Fl36t7+giSUDJ8XrUV/uDs4H56IanPoD1i05iwu+yqZVQyfF67FhahKoi/RxvSqYb51/REelZTWdQkk1CTGh1aHfasOW/+Wis8Wt0APqKbs+qEsS1c6L7ee2aXI4RJcfrseWbAtQZPH9j4uzoP7YDjm2rpM15RIEDUvAznISgvsqHgkO16NyX7sP4ZCfOHZWKvesq+DpKgNNlw8Ax4juTfy489QGU5emKQ4AQHFQakCG5kGYLmk8lW3BPesCYGO28qQRoHumKYAkVn+xE9nmnZ6w21vpxYk81HDE2dOgeH9aZyFMXwPFtFSg/2QBJkpDRIwFZ57UzPTpUeLgW25YUor5SVz5ccXb4PTI17iUAgTovHHY7HHYJCLktuGJtGDC8PQaMSm3Wuw4IIdj4xUmcZCxkAZ+CQxvLUVXowehbs2CzRy6zoUavWz2RsV0O7uVPcAbv4SZK8Az0mYQmC+ExY8a0BB0R4fP5sHXrVjz66KNU+MSJE7F+/fqo8lAUBbW1tUhNNb8Y3ev1wuvVTX7NbWIPZ+Y5XagoaMSaD3KhMB8rUGSgJKeeC28KjKsLADiieJCreJAo2THcEWRkkgSKEbQmZD9BRUEjxYQUQrQVEVGAykIPyk82Iq1rUDkpOlqHdR/lcoutyiIPVr+fgzG3dkeH7FNfKVSXelGZH/6Sjj2rSpA1KPmUTaSlufVY82EO98EKb0MA25YUwLhTVa74sU2uQ2ebC+fagx7nEoANi/LQY0gqzh3bATHxOisZdGkaXLF27F1XTl3Xmp4Vi4umdDS1KvxcBJiz3ceURhQoXhTAiwk2fc77vQokm4Qu/RJxcl9tmDlJkJzuQpd+iS3uWeup86PgYC1InYKNm4KN5oyxod/odPQemcb1c8GBGmz47ERwrmrm9lrsWVWMUb/tjvZdaEW68HAt1n2cx1kIfGG2W2yKjPYdXejVLxlKgGDshR2RnOwWCkPZr6Cu0gebXUJCStMuJCo6UscJYA0kyJPydlej+/ntIublirWjMfQhhwbC102SAHfCmXMrGXCKl3WsW7cOb775Jo4dO4bPPvsMnTt3xocffojs7GxccsklzU0jgOAnFGVZRkZGBhWekZGBoiKxpxyLl156CfX19bjxxhtN4yxYsADz5s37WbSeKfB7Zch+gpg4OzUp9qwsDjJfE+ZTdqIBjTV+xCYFVw9EIcjfX4Ojm8tRU+qFM8aGrgPaIb1HPIgCuBMcSEqPgSRJcMXSA7yI+AAQ1JIAJCggCHrIsvFaC7VlXhjnaiUJYItci3NssegeOpIhSUBZXgPSusaBKARbvynQ7qqlQIJK1tZvCnDF/b1OWUAWHKAZUpHiwwnFi4H2eLhD1oSGKj/qq/ynLNB2LC3SBLBqvWX/VXFU8QAgyFe8ONceq5n+iAIc21KBwsO1uGxGT7gTHPA1yvDU+pE9MBG9L0rBgS99kGWCwdntMH5Yl1OiNVq4Ex2wOyVtP9gD3pxKlKDjEQD0v7g9Tu7Xj+MY6y0BSEhxomv/lr/lq6bUg5ztVVAUghiD8uP3Kti1vBh+j4IBl2VQ8dcvyhOel/V7Faz7MAeTHuytKUaEEGz/tsh0vquQCUE1CaCd5NA82StONqK0thH1FT6s2SPDKUlo19GNcy/NQGbvJAR8CvatLsaxrRWaEhTXzok+F6ejx9DUqNru2NZKyqO+lgQgA2gXMiFDAo5uqYhKCGefn4z9P5SbKlaEAN0HnVlbC00Wwl988QVuvfVW3HLLLdi2bZu2aqytrcVzzz2HJUuWNDuRRrCdGq3H4ieffIKnnnoKX3/9NTp06GAab86cOXj44Ye155qaGnTt2vXUCWZwOszRxcfqcGBtCUpzgns8rjg7el7YHn0uTkfAr6DoiO4wJROCPOJFmkR7O+btqUafkWlQZIKfPs9D/v4aw34psH9tCfavNRyQb+fCBZM7I6NXAhLbu1CrmTgJpNDstyF4OTIBIElngEkAAGH6Y59cDxDgsNyoCWECaB1XdqKBWsUHQub2dMmpHd+oLfehIr+RW41Ei5oy2vlqlxzsr0NKIwbZ9RW2v1EGTuGoZm2ZF5UF+ko7QAjyiQ8dJCdiJVuot1RxrP4Ogh2+hACNNX5s+18+bDYJ+fv1YyFpWfGQEgmS2rsQm2juTdtQ7UPO9gpUnGhAY60frlgH2nV0o/vgVCR3jP4KXIfThh7nt8ORLZWmTNjukJA1IGiRSe3kxqibOmP95wWAN1g5KVRdd6IdF03piDU5LX8SZOeyIn1FK+APB34oRc8LUzWl+PBPvKlfAwH8PgXHt1ei7yVBv4GK/EZq28lPFBQSPzIkJ2IkXejvUupRqvjR3eZGb3ss1LlbV+GjBHhVsQc/fpyLodd0xvFtlSg/2UC9b6jyY/v/gltd512eGbH+tRU+rb8IIdgQCJqQxzqS4ZKC/hB1ldFdlnLORak4uq1KuMKXJCC1c2yrn85g0WQh/Mwzz+CNN97AtGnT8Omnn2rhI0eOxPz585uVOCPS0tJgt9u5VW9JSQm3OmaxcOFC3Hnnnfjss880xzIzxMTEtOnPMObuqMTmr05Swt7XIGP/2hIUHanF4MmdqfjHFQ+OKR4cRiM624L1lgDtyrrDG8uCAhhgNGl9FQUAjVU+/Pjv4zhnRBoGje+AHxeehFEAGyEB2PLVSTicNnQ5t2W00voqH9Z/fBylOfXY5auFkmxH+y5xiGvnAiEERUdqUVZeicIGDyQ7ILBc6SBARnZQoDYw5vZdSj3KFD862Jw4XxOQBOUngt8mjkt2Ii65aatVu0Ns+gwwbemIUVfFPuTtqkJjrR/uBAe6DUpBvGCFTBSCsrx6FB2phbH/DiqNyFd8OC55MNaRHOpTYrgyhJYNMlHQABmJsAGSDUQBCvbT54MBoDyvHrn+KnQd2A6kk1gqHt5Qil1LC5lQL8py63Hkp3JkD0nF4MmdozZvDhibhoIjdVw/qQrkhVdlUnumnfsk4lezz8G3q0+i/IgCyRZcKce3cyLmZ3zrWzK7CcYAohBsX5KPosP6apyA4ITiRarkQLxkD4UBebur0OfioFAtOFCjfz2IEOxUGuCGDX1DWwUgQdO0KoQ9zHd29ygNKFX8KJAcGO7Qj+OVKsE2O0G86I1Yfe6aOFhu+6Yg7I1uhzeUIWtQO7TL5BUpQghKjtbhyKYy1JWJPf59UOAKtWNEy1mouWMTHRh/R3es/+wkSgpowd25bwIuuqZT2z8nfPDgQYwePZoLT0pKQlVVVXPQJITL5cKQIUOwfPlyXHvttVr48uXLcc0115im++STT3DHHXfgk08+weTJk1uMvpZATakHtaUeOFx2pGWFd9IAgvt5WxcHj2AQojJZfSJV5jfgxK4Kyu5WA176EABxSU4QheDwBnolENwvFTugEgQn3tAMN4Zd2wlbvjwhiKFCwo5vC9C5X1Kzf9Ci/EQ9So7WocgVvBZSDiioLw+grsyL9l3jUF3qQVKgHql2ByqUAIhssgRBUHtu3zUWKSFGwh6tKVP8kEBQpnjhsLu1Gu5eWqDF6dAjAYMuz0RyRnSrunaZblSejHCMQgqaX/d8X4iDP5Rqn0EEAfatKkav4WkYNDFTa9uSY3XYtvgk6it9ml1CrXEZCTJpHyGoJAGkqGZAg3E6+ItAgoKtch2qiIwB9lh0llyhmBI3IEjIPF9woAakP+/NfXJPlUAA0zi+tQKxSU70GxNe0VYRE+/AxBndsXtVKXZvqYdqkW7fORYDxqYhsxe/CnLG2NC5byI62cz34VuCbe9eXohjWypg3H/3EYL9crDvJzrbBcuWoO1zAvRVprWQURISnpoQBqDIuq3azXwOUxW2NSTMRTGMkg0A5cSP9tAdLFkBXE0CcMGG2NB7yQYc31bBKf6EEOxeXojD68tCips6eI1KH4ENsi6g/AEUHqpBZu/IDnKJ7V2YeHc20vaUo3hrPiQJmHJVTySktvxVtKeCJnsbZGZm4siRI1z4Dz/8gB49ejQLUWZ4+OGH8fbbb+Odd97B/v378dBDDyEvLw/33HMPgKApedq0aVr8Tz75BNOmTcNLL72E4cOHo6ioCEVFRaiuFl+rd6agpsSD1W8fxvf/OIifFuXix4+OYcmLe3HohxJNuIqQu6My5FQVXIHKREEdkbWhLYHg6E9l6NgzIaxZXALQbUAyGmr88NTpE7WOyPhersZBuREEQVN2geKDn+gTlgDY+V0h4kPnXo1ln1A88BNZY+aeOr92ljjgU3B8azk2fZaLnxbl4PCGUvgawzEJ87YrORq8bIFqqtDv8hMN2t6VeoZUgqJHYNolIdWFkb/W9zI7ZMcbtPJgPVRFx6xnSo/XYdXbR1FdFGSuikyC+/UmR8I694l8WUi3Ack4tqkcB38o1epqPBN7ZGMZ9q8pBgCU5dbjh4+Oob7KJ6oihc2BOi2ODQQ9hyTB4ZIoi0Z1aEwVKPpKQ81TIQTlSoC6kzvgU7hzxYQQjb5IOLS+FLI/+uNzMfEODJ2SiYuuzkTvYanoO7I9JszoLhTArQVPXQBHflIV3PBbM4QE/S6CvwklTEStIkmgtkJSO8ciPiXS5RpEm5fqmGbHyU65ARtDF5mwaCAyNgbqsDag+zMQJbj1weLIxjIcXl+m1U0fWyrvUsBa0BprfNjw8XEc2VAaoR5BSKG96/adY5HaKfaMFcDAKayE7777bvz+97/HO++8A0mSUFBQgA0bNmD27Nl48sknW4JGDTfddBPKy8sxf/58FBYWYsCAAViyZAmysrIAAIWFhcjLy9Piv/nmmwgEArjvvvtw3333aeG33XYb3nvvvRal9VRRV+7F6n8dhkwdVA8y7T3fF+Dw+mKkZycie2h7pHVPoPbDa0pCnx0LMcAf5Tp4iILhjnjNyYEQQPH5YXfaTBlbh+x4xMQ7IFfT5pyjSvAQfC7xoa89FruVxpAW3ogxjkS4peDqyu+RUXxUZea6SXq/7EGB5McIR4K2smqo8qGyoAE/fnQsuI8Tqk7+vmrsW1mIYTd2R8dzoj8ecnJvFbVMlwkJreMMLjfa/FYnfFAQO+CHRIK3LMXE23HhxEx0G5BM3exkd9gwcHwHbF1cKGRUWhkGBO9MVrB18Ukkp7tweGtx0OvaZkf3HAX9xnWkVsmxiU5kX5CCXZvr2YwBAM4YCf1Gp2H127wybMSh9aXoPTIdu5cXUt8qBlTFQ60XAULtEHwng8AGCQR5W8uhhM7+02sVcX1ziBeHZQ9SJAcucgSFXnAlR5uHG6r8qCnVGbSXKNijNCIeNlQTGf3tsUgMrahkbwDf/XUfXHF2dO7fDtlD2yM2yQU5oMBT44fNYYM7kb9Mw+6whTVjyn4FJUdrUHS4Fvsr6lDqaUByx1i44k7543JRo+BAtXY8it+D55E1qB0aQlss1SUeALoiqApQe+gskUJs1PE1SZIw+IpM/PBJHpstAAIbFNiYrSMbFBDBGq3B5KPdNaJwCXAy7V96vC5k/dDrSwgJjjnJrs1HgGmNEGm7luajfVY82nWMPWs+Cdvk0faHP/wB1dXVGDduHDweD0aPHo2YmBjMnj0b999/f0vQSGHmzJmYOXOm8B0rWFevXt3i9DQ39q8ugkx9XYfWCH0NMgr2VSF/bxW6D2mP86d00ZiP3WXTBLAEwBOaGEVKAO3s+sq0Iq8eI27Jxr61ZUCOrtk63TZkdklEauiqxNhEJ+LaOfn9tRBUMxgAbJMbMNKhrjQIGqp9HO1AcBWl0kEAlJ+ow57lBQh4Za66sp9g46c5uOze3khMi+76xqpij5aHQhSslmsRIETI7I7IHlRDtxTYVIZEFAQaFKR3jRVerdhzSCqIDOz69iQVXkcU2CEhVpLgJwoqiIw0yQF76GxtVX49agrqKa/WooPVKDpcjd4XZyBnaxm89QHEbqxBevcEpHWNRWWhh7qsPj0rDkOv6oT6Kh91JKeOyDiieNHTFoPE0F6i7CfI3VWJipP6ue0AIThBfMiQHHAHNTb4iEyJYzsICGStncy2BiuJjAAhmkMaAJwMrY4rDaZOQsBdzsFaAQ4qHpQpAahrw21yPcY6ErR+8zUE4GsI4NC6YhzZWIJOfduh8GC11gZJGW70Hd0Rnc9tp5erECgBhTtS46n1Y9/KQuTuqNAqVap4Ua54UZ5Xj5QucejQ03BrFCEoPlKLYwfy0VDlQ0yCE10HpSAmwQlPrR+uOAc69GjaMSa/R9b20OmVIC9Y+owMHvn6/rWDoXkFBNfAEuwhAapvHAB2KNj6ZS5G3X6O5iHdqU8iLv5NV2xbUgiU63k7XRKIj+5ZfWcj3ArdoNSGidLV0B9KQMHGRcepevoJwRq5FimSDUPs8SDM2t4TOp9uvNdn9VsHYXfakJ6dCF98AK44R1R78GcqmiSEZVnGDz/8gEceeQSPP/449u3bB0VR0L9/fyQknDmmnraKgE/Gyb1VGpNWiIJ84keKZNcYK6CbHHO2liM5IxY9LkoDAHTum4Sjm8o4/TVH8SJJsqOTTTdJBRplXHZnD5SsteFwQS1sdgkX9UvD3kLdnCTZJPS5OB3b/1eASKjVPJuCgix/VzkkhhKV2UjaRJNQdLAGfq8sktehugZN6OdPju54i00rksAPRRPARioAwEcUHFNYUxnRvGOJQnBgTREuvKG7sJxeF6Vi/6oCwGAs+DFQC0DC5c5kbJEbUENkdLfFoI/drZusBfumkIGDa4vhCQQAEhSeJUdrURloROf+7WBz2KDIBOd0ScS4UUF6akro/cstcj28hKCMBDDeoVsOdKec4ErnsNKIPMWPI5KE8Y4k2MAyYHXJTO/6S4yjlroCy1Ma0cMeR8VTVzO2kL9B0CuV9hSPS3ZRx4l8DB0+Q2lUqQSQfQQndlVS8WtKPNj0WQ4GVHdCp37JOLSuGFu2nkRhwA9IwNI9fmT2S0aXgan4aWEOPLU+PvdQ51SerEflyXp0zAugPklBxYl6bKupRTubPRilxIPSY/QHHZxuO/pdGtkTWEVCqv4daXPxQdDn4nQMHJ+B3B2VqK9UtxMI7CEhrMK47QMAdWUerHhtP7pf0B5ZF7RHfEoMOvdNQofucdj6mQeyTOCKtSO+1I66MvG2jz4W6Gd1xR20n5hZGghik5zoZLjMpfBgDXyNupBVQiczZKKgnMiw2RVKBPsIwY9yHSQJuNyRBHV+SgAUv4LiQ9U45q9BcsdYKFmncEzgDEGThLDdbsfll1+O/fv3IzU1FUOHDm0pun6R8DXI1Copn/ixTw4y2yucwcHMHsk6vL4E2UPbQ7JJsNnE3sgAsEtuQCdbsh6geRM6kdg+5BUtMO/0GJqKqqJGHN+qMz3GsmlAUACzDIGlqZ7IiJfssIGE9n31cg/KHnigYJAtNng7kwIU7K+mhDAhBNWFjWio8sIV60BqtwTY7BLqK72h+2aNjIOnURUp6i8VuYpXN10TIH9fFQb7FNgdUuj2KoLYJP0iAmeM+cqnJqSUFBAf+iBGyGjNrvUEgvtpIEDB/ir0GhG8ti/OcMwnkbki0xvKTGYyTekUPGpiC7G3yhBdCiGaANZp4/e2JRAoVD/q5k9AFZZB06Ud6n6/ntYGBe4kFxzMJxkdLhu6D07F0U3lEENf3Wn0hnNkCBG9Z1k+Dq4pDI4DRX/XWOPDsZ9KcfQno6OhRCdmUJlXhxOh+QeHQ3DsSQ/wewLYteQECtMC6NAj8p5+SqdYOFwSAj5je9Kry4494jFoQkcAQL62zRLstxzFBw9RkGHT9zoJUSBJkqY+eesDOPRDMQ79UIw+ozvCU+3Fyd2VKPIEFe2YRCfqPPylMrLBmiZJJHgtpMDcHFS0FCic2h/aX5YDAIJ3judsLcPhDaWURWq70qA5NqqpjG26OXQ0L0iO2dYPUF3UiINrijCiV3tUFzSi5GgNiEJQk6CaGs7sVXKTzdEDBw7EsWPHkJ2d3RL0/KLhirVTxzyqiEwxomOKF3mKH8PscYiVgs4yjVUelByrQWrXBGz85JjGEMMOOwlIy2IsF4SgMr8OeduDJtH/bWlAXDsXOp2bgvIjlbDDDxsCob2iUBLwQk7S3sAQi0YNUZAgiTXo46HVabYtBkkhLVs2eGGW59Zh5//yUGtYCcYkOHDOJR1x6Idi+Bt1E3nk/VpaWB+QmZWxouCnT4+irtQDT2hP053kRM/hHdBzeAd0GZACaXXZKd+CVmlyLsrYrkQBKvPrYXdIOFnoxZF6OzoPSEVSBzdSu8ShMr9BKBxsUGC3A3u/OwGnU4Lsp1dLKktjBTCgKkkOfVUVcsQikGDc41ehm69pqHl7qn2oPFkPnEu/7z+uI0qP11F7wyotxv1nL1GwTq5HJ8mJ/nZ6W6KGyIiBpJ13lcDfnMXXMNQKhKAaCvxEwYGQsFXFgMTFF+dmjCcBqClsRE1RA3YVK2g/rhtKjtSg5EgNFIUgLSsR3S5IRc7mMuRtL4cS8gq2GUzKxvrHuIMWGckmha6W1BWn/bIHgIRYSd8b/l6uw7k2NzrbnHq/hgTYwTWFIX8RvQaeWj8QwV/LBgK7nUAxLJb1bCRNEHvh18aGM7RS9tfLWP7qXgR8CgJeWauv+lemROd4aRwLhBA0gCBeogV/eV4dVr9xALUlHu2kQFEggGNOHzoPOLNXyU0Wws8++yxmz56Np59+GkOGDEF8PK1JJSW1/n3AbRWOGDs69U9Gwf7q4OTTGJ4EQMEh2aOZFM+3u7WB+dNHR+BOciHgDeqkCmOqoiABXc5tpx38B4IT/eTuCtRXEzSG9nkDXhk1xY2oKQ56tdpCf+qEUFc9xnJcMRIUr85MihQfvAINOho/V231JUE7HlSRV4cf3z/MeYh76wLY/d1JqEyBpYsGuzNspkgE/y1jzI6eGj/2LstHVWED+o/vDNu6I1BkwccqQqXo9ESP3XIjzgtdlgAA5Tm1gARINif2Hfdh3/f56Dk8AxdM6YzV7x5lHOxIqG8AIkPziOZrab6y+CFQj4mh86P06tPc0hJJ6Ss8UA1cTge7Yu0Ye2cvHPqxFNt/yKFM+0bkKD4ECEEe8VFCuJrI2BAIrpaCliJz2vg1L8EJzdIkMsmDC68kMnbIjehrcyHT5oSfBPPIlByIU7+ZGLKilB2vxY+5h2BsmboyD45v1r17aWcovj8K91Xi4NpY9B2bicR0NypP1nEj2/ilJ5kQ7JIb0dlmIllNxqgqVo19a7zdTgnwCQkh8IJozphB3sQX5qkxjj8C9WicyiXoMgmOEdEg0BWe7YoHxUpwi6633WWwtkFTzI1OiH6vjNwd5ai5uBHxKTEtfv3oqaDJQviKK64AAFx99dWUWfR0fEXpbEAkB4J+Yzui6GANgqqnPkFY70U2F/3i8qBP4y6ZHswSCBzwAwSoOFaBH99tREKaGyXeRhQX1aKh0odUmxOR9H8VOj0ETrcdnfq3QxdHIvK2l2v07ZTF5y53y43oYguutOwgkMOo44QAPYcF97z3LDsZFMBRyrTDzJ4vvRAwE0LRZZ6/uxJdBqSi2/mpOLG7KuhYFjIXwnDMwwYJdgRCe2dNN4sZz3kb6350QxECPhmjp/XA4Y1lwPZqgKiKG5+LGlZncIwT2zKC2Kl4UE1kjDbc0CUBaGSUqhOKD0mSDd1s/BEQ9egaCFBb5oHsVzQm6K3zB4UKAXpe1B4XtAvgeEkdJFvwPHvZsTqGPt7+Uh72nCtQGFIoCYCfAg0Yao818CwJJxQ/jAyeF8Y0tsoN8BOCHbIHmTYn9iseFCgBHJd8GO+IfFe4iQMxV64hBQ6vKYCvzofUznHI287SRHCYtd6EcELxoUAJYLDdDZek979RgVUVRILgHrORv9hDarDdJnGXsGySGxALG04qfpxrd6OrzWlIy9oQ6H1rRTOZ87YGLwngkMzOWXrLpDjUp1UkgE0Bvf/FFmcCEAISIFj92j4AQHrPJJwzqiPSup+eb4ZHgzb1FaW2joBXRsmRahyuBhLau5HRJxk2O62ZJaW70Xd0Og6uLDBMUPNVCw3djFegeKGe7rQZGJgEwN8QQEVuHSpya3FC9qBaUT1h6QnKivxCxejxqtMUCHl6xqXEGFgkAe/Mo8NmWA/bIIeElGFShpL1uLA9OvZOQu7WUlQyXr75xI8MyWG4es9YGkG+4gPLtsxWv2oauu56bRpIkCmpZjBJAo5vLoU7w4lew9NQVdCAyhN18HtkOBHgFKbgyqIpNzDxZyWNDFsCkLe1FHnbSpHZNwU9hqSiMr8e1YbzuISoV4SKxHKoFJMjJyqzKyO6YxcA7FV0xUqlb6/ciG42J9hWPUG8WhwbFBTur0TGOcnY890J5O8u14SSJAG5He1At1hINhsq8+thVEAbDHvNkmENZaTLpn1+nnUGDKKCBHCS+FCoKMiUHOhqc8E43kQjtZ5pG4Xp0/KQQuMnwT3aeFObCjhfDgAoVwKohIweklgJlULpcreWAgSQhONHrEjtCSnAxxQf+tl1/4GTlOJCQs5z4bgL7yNdbuADhxQPsmyqjSwYXyYEpURGqmSHS4L27qjixTHFj2H2eCRIvOgJHppT95jp+9oIdAUikmXppOJHA5GRLNjyKjtWg9KjNbjguu7oMqhlvubVVDRZCGdnZ6Nr167CO5xPnGBvSLIABF3ziw9VobqwAY02Bw466kAUwBXnwPnXZiPjnGQqftH+SrCmzP2GVaU6LcqVAOqgIMvmMjAnHfqqiN5jAxfGT8Il/loMtLvRxcS0tY9ZZXrrAkgbmhBBs9fpMpaqauFGB4+kDm5ceEkndBnYDjmbSrH72zwYGewBxYsTih9HJR8udSQYmKhYC2cIQGJqDFBqvECCp/mo4kdPmwsKIVgTMntOdCTAHlrxVuRUo7DCj7h2MSjPqYHi172+meJCe36yxmD0Mo3ndXU6bAKjfbESQI1NRpJkUFgIULS/AnlyPRSFLnub4kEdUXCxPQ52ie9t3fwnNseKrq30GxihqqyIWlkCCTFNPZft/zkGu8seNJ8Tva6EAJUn61BRWIPOg9qHlDoJEmTUE4U6CmeDAjmksBn3p3WaRRQF3x1TfGgkBBUIhIRweBxTzEz5LAj2Myu4CqKgAyFwSMB2uRGNhGC4PRY2w17mJrkRAIHbzo8XqlSte/RtJlEfiSAz4yifWv0brWsiRU0BwnzoxUiHEYcUH3IUH5IkOy526F7xh0LWuUOKB0M0j/pgfxn5Fzv21fBtiugWOb6/d4e2GHoK+lhd0e/4OhfpPZOpr3+1FppsIM/OzkZpKX9rSUVFheWsZYJd3+SiurBB3zIKjTFfQwCbPz6EnE3FqMqvA1EIKvLqgnGZgXXcwIiKlACWBerwk9yIvbIXJ5QgI1XNhRsCDYaU9DSViVFYESYePaF2yx5K6zUiT6HPDkt2CYX7dE/XcPuyujgI0qAQBTYocCAQvKrOpiCpnQ3lRypwbH0h9nzLXzJQGtLovZpQ0OsB6jf/F5PgQI9h7Q2jX2zmPxRSfAzrf8gIaEoDCSioLW5E8cEqKH7eHCcheMxCvWGKEAX2kHOb6ozjhBxajQTbX31nhvVyI6fEEID7JCEAlCgBNBAl5AAmXg2fVCJdjM/uW4bbFiGG+GLTuOyjBbAxD9mvIG9rqRZmA0EFCVAKZDA86DrOtpNqdJWJovkiGFVTGfpHRMRWBh56PEWru1o/r+rCLsAJxYflgVqcULwoVvyoIYHQFbHs+NQvwDDmTYOE6qv2uxpfTSMeL+xNVMb8wglfhPIM+oGYrz4lEPipI4DBOIWhuVlDZOySvVgdqNdOC+h0Qzg+wqFU26LTy9fGDjHWNdgexrvWG4hCnRxQZIITO808808vmqwGmH21qK6uDm53dBcq/JJQV+7BiR3lgrkamggE2LskF0DwyIDD7dTeh4PxWsDdshddbU4QAPsVL+V1a+ypEiWALbIHfexOxMGGIhKAh71KicEmuRETJTvsUjh9jcBT7UXO4WIAdoNWq092AqPTlF6/I4oPRxQ/Lra7kRhy8iAKQcnBKvglu3afVVC0EQQIgdlOoHFy69OTPkAhAQjUerHv27yglm+ITzMTY8sFJ3ZQAOj5iBgqAOQr+jlKCcCPgUb0tbtwQPbiAjs/R+whwWvGTNX8JUiaSS5ACKqJglTJxszH4Ptc7kpJwsTQf6mM39gG5hYNETMGJBK88chsA0KkJJUqQTaZYWO2IsKgkSiIlWyQDEKRNVyuCZ2ZZstWR6VRsEhhnBiN59rtxvNOUYmOIFV7QytkXXkIvrOpilxoZIuEoo8o2KV40FlyIdPmgLqtcVj2cqtldc7p9gm9rhIUKMSGk8SHWsPlNFovE6DOMPYkBM/9J0l2w3wS150X9BLljJkfGocb5AZGkPNWDFWxVseeWgOab+jpjTQcJ370g0NzHmVV89WBesRKNowz7N3XFke4n/00IWohrH7eT5IkPPHEE4iL080Msizjp59+wvnnn9/sBLZ1FOypoJwGKoiM/bIHfWxO2CWa8XtqfSDa5QrRGinoc5k+0/MyEvaEJsQh2c9MJ3MmFLxQLngMxax8l9uGqvx6wBkfOsIkhS7JMJos2VOACNESpGm/4sOwkIASC8PgSmCF3ACFqaMNAehX7LFmSjOq2YnNtojKIBXN29gYl2Y+RhOz7pBmTHMgVM+d3AUh4OLyz7ypfavsQTmRcY7NiXPsMVSKHMWL/ZxjXjB1Ypobfk8A3jo/7JA1YUAzPt1svV1WGVUwTg2RIXIu3Kl4kSzZ4DPZY9ZpD1IiE4LNoXaaKLGffDTfP18VaMCVzngDhUFskz1IlOw4x+aCjyiG8SZR40/F0kA1QIwMn6+TcUScUAJQtJvXjCtWkYWBVgCMCqkq9Fk/DREOKV6UKDJK0IhMW9CRKE/x44jiFyo1al1skEP5B0NsCJ5X3yN7DeUF/19LFOyVvajQHPaC+Rl70czpip5j4ZSo4A2A6gy1QYa+mld7hxiOCOr5qiOygShUO3FtRhQ0EoU7umQE7VRIQvfstz6iFsLbt28HEFwJ7969Gy6Xbm93uVw477zzMHv27OansI3D3yjDKIW9JKi12UHQ1x4DdhIR0IOPhkgTVf8NsoZaBDTmw9EC1UQHZkDzTIjVUnVToz4Z1HwCHuNeVfDN8kAds2rkpyl7sYQxvdkqkxB1bcwyA3aV0zQYlQVjvjYo2EeZbIMt1UAUbJN9YBmTsXXFLJquc0XIgUVl0mo/NBjqxObhCd0wBACHFT8yQ/v26rhh9yeDTFmC3WlDp3PbQfYpyNmkfzwhnPgx6zs2fqHiQ5FJbgBwUgmgl01BHVGQItnhNeS4WfagkhhXiWbjn6cvWCJBkRJAEQKhlRAR9qcREtFnmlksY03ytL3UoAqyXzuSw6/E+Xz0MHtISTUrx8gB9ONHeox9hlUwrQzqMY0CXv1/LZGFtK2jtq5o+AnBodDYt4EYjOC8t4BonLBbFyr0bRgFRlVJPYcOJg8CCT/JDYg0ClcHGnGJQz3aJ1L56ZwT2p8Zn6yNWgirXtG33347Xn31Ves8cJSIS4lh9uuCA64+xGQJISghMpIkW+isoc7CFc1kBU3wBP8Lsin9gH8wRQ2RIVPaPahyje+MMBMUuoCXUaAEBHtw/K86omiaejjDnUwIDhuEW5kio1zS98x2yj50lOzoY4/R6ms2qYNl8IpAOFFcJrgoQ2zeBPIU3UPYB4JNAQ9qSbA8dqrTKx8R6BQbAo2Y7Izn6nVI9lBreyNWMnv+60IOPoDqAKYKCz3MBgXwy8j9qQh2lx1EJuAXDWZtRltb2HFlZlFhe2p1QPV1oMdXFVGo52BiBZvlBnQQeNHy7FWn+2BISOnrK2POxrUxTSEflwVtyckxrEZ1U3B4VBAFKZINEtNiR7h9eYWpI0EjUVDEeDabqQ4SzFRD49jWFQpCxdKxWW5EFaHvVjde86KOc2KgS+dXTTvREUyrCmV+xe0z+DWYe0cTHFB05chjur0TTJ/aNfKxstOBJjtmvfvuu5QArqmpwVdffYUDBw40K2FnCzoPTDVcIK8bx1QUkwC2yF6sDATNfhoz0DxLefOq6tRDg+DHQAPFblQnFPW9/q8xlvqL4KTih/5VIR1lJIDdJucRjeUDEn6SPSEPzPCr0aWBepRQe9cEP8n6Hk09UXBU8aOWyPCbOsDok5IQBVUkoDGGSLSeVNiPUoiZM1vaukBjSACL0qnKEv1VGkmYN+3ko6dX+z0S1PQSd3RDZClQmWLAIxsuUKDzA5WOGP7A0ElM6KTbjRcudBz2FwHdjuVKAPtCJlTdCqNA1OY2Zk9T7HhlJipVpzjdyYnfvwxHv14GuxI0hhyQfWgkSmjLSEQL3abFhrsCVgXqQxYOnS+IQdPt0fJj+9csjR5WJVBUbYb3ar7bKf8DtR3NUWOYz+J4ZvNP9Z0wazsaJWFu5JJAkNSR3QZpHTTZMevGG2/E6NGjcf/996OxsRFDhw5FTk4OCCH49NNPcf3117cEnW0WrjgHOvZJAnbWghWIXqJgq2HvrkAJQAZwTAmghujnRMMNaF3rZ2MRw3sSuklLJJAhYDDqv8HU1YLJKMK6QEPoy03G9Gp+/KqxjogYHptnI5yShAkOfrVopHeb4kOxIhvODIviidpIEr5h6YrEvIwrKWNexr1DCbo1QlfGeIZlZh42rmT09UL4Fb85xUF4mWNEaix13Wfc7WZVN3Gb8YKINdfSpZkrPqqFg40taa1Hn6XWr1Rl1+bh+plddUETxKLZp7c53dNGpUT9DKQIm2UvaglBf7tT2H+isUC0ekazvjQq/MEvnRE7e3e5Pvb0FLSFQ+Shb9bfxQrtUGU2HtU2aSQwverV2L50uyhaD5qr4+Zl6vNG9awn8FT7EBMf6TvLLY8mr4TXrl2LUaNGAQC+/PLL4Cfaqqrwt7/9Dc8880yzE9jWcXJ7CUr3lUFimAlAsFqmvfO2yV7slL2UphiNxicBoRWDOoD5lQKBWHtmBYZRa1b/zVUCTBxa21aHeNBpR2E04Uiry3BafZC+ACEhZw6zVYzOCLzc7OZpVfNVhaH5qgnaWddwoK0VdN35FRVrDZE0xhBuBa7nzX9wXbwy0HFA8Wu3Q4kUGVH99fEavu56+WpKNY3oCFEwng3sRSREUCc1nAchRNhvNC18XrKwKpGUAJ4uYy2D0PvEKMR5AU40K8o+mbcWhRMk6hiIzote1trHBsI4FhLDO/1mN7r88HxCDyHMe3MVge2XAqIfN2ItRbQljv4oDG0t0OcES6lob1li8mY/cdlaaLIQrq6uRmpqKgDgu+++w/XXX4+4uDhMnjwZhw8fbnYC2zKIQnDo++AZV5ZR2kAguJJVi2u22jAz3+QoPhiPbbDatT74zM1gkSBaGUrUb1b48l6kfH0ilatPOpHnt4Sgc1NTzFrG92aCXTX355Pg7VdmOdFtIlrh0e0vUk48RNGukwTYNqLb1iiQje/57QkdVUTGLtnHCT6dfjGLlag4IrBmdlX4EooeySA4aGYrWoXT9PE0qWl5Aa/nHclDm62DmjuYX7wyy9PCKtfsPBMpOGIBwa5MafrY/M1AhGOh0HBdKd23+kcYdKHMl0G4J5EyZ04T+3xCCYSth6rMhBvXQbp1BYVVGsUKduh8vtuOhPTYMBScPjRZCHft2hUbNmxAfX09vvvuO0ycOBEAUFlZaZ0TZlBdUAdfPbv3COgGl/CrxHCrYJYZs1qeWb70ClBcRvQCjV3N0OXwTEUXzPSKQVyGUUBIAJYZHJKM+a8P0Ecb9N/0njqtOLDlsLQHw/MUH8M4+f1dc+3fSInobTB0RcCDtQGPkK5IDFfcjqI8RFQ0RVjp+YnDVXrocnjlQY/PKpt0Hnrr8WNVYfqAV3joOijM6lssHHXQY8Uc/NWidH7myjQN3hLQFBhXtKI8JKjHc8zmML+iNcbkxyUMaSJbI0Q0lTNHooy/wylnvKIvgtkqWE+b2T9V+OnW1kCT94RnzZqFW265BQkJCcjKysLYsWMBBM3UAwcObG762jRqCuuo5yDbDQ6EIsN9zWo4rY3TnzajhzItnIx+ncY0xgkVnWDVc9D37viVtTG26Lf4vULlbvRmVstTaRLtGdZrn9MzVxLUlYkZaObB7qKrdaTbpNrguWu8GlO85qUtBMZyCYxMSy1H1K6ESkGvWsTjREQJoeqir/b0MSGFcZxix5dxPEQjiCPbIPTxbdaSKiPWhbFavgcECVA/q2iWv0o3+31r/VISvZbivqeZPTsLwm+jsOmNNdHp47cV6FqHt8AQSEKTfyTrU7j89N+EChPXTbR7qyL8CpZHpBHDCmmWjmCLliuqVSz4SVdxPgpSup0ZntHAKQjhmTNnYtiwYcjLy8OECRNgswUr2qNHD2tPmMGJLUWhXyKTFs2sRAxWTxOcEIphUhmnB8+MRMxSxOxoRiteiUZmquLJKhZ2RkHIMneeZj2vlQGvVk/egMhrx+IW0Utla2Q8myqur84aaaEqMe0XTmEhVFz+VCRdH2MrgSqTpVKi0umpxL2i5nZI1u8RFsVg2yy80DH2jIhCo1LHvzem4emhcUwJUH4K5hSFN+WyCgx75M8Yz6jShqNfp9k4ps3GE61kADDQwNPL5kt7hNOi11hmPdGPOoogWrlWGz7cYaZ8BZ95gzGtNBprEY7v6N+qZkcxXbZZixjbxqiQ02/tofv28jYWoMv5GTgTcEq3Vw8ZMgRDhgyhwiZPntwsBJ0tqMypRl1x0HxqPCrEauDGyWILhalvJG1wIpRWNChFqy7+vS7gzVcxZpMJGl30tKLFCM94jLURg87fuFozpmNpoxmKmaYuVgxoAaqXp6bh82T7jWipjKtbOgXNEER5ipUC+l+WmfLKkqj9ghDtpf1EXXco/uCHOf0srTCJY8xL3P5smLitzOPmKkannnCqQbhxZ+xBdlzz80yC+pVukSLBzjVoaXUq+asujAqpEUaFhaVDrGLq9ZIAHFaMX76ScEjxQ2JypAUdSxmwTw4wJRtpoOe9SBkWKSr8mNdrLOpFfq6K68vGpWmgLRbqBSF1xQ0IeANwxLT+Bxxan4KzFIeW5yCoXQdBD1SzlRLACjVCDSDV2Co2EYsEMJ0/y1Bpymhdn1+pi9PzpYePZ0zBswRjOloo8to6D7ZNxCs4XmCy6UXx2XqY7anrDIEth2VQRmFqTMOzKHrdrZsKjfmIhB5Nb6kiU6NPZ8NsW4uUPF7w65eC0OHGMlkFkYVxzPHrHz4uP755umlWbJYPoeKbjycdNkGYmgc7j4z563mxNIYD295GtVwMNXy/wfOagCBgOOJklsZMsLN7/DRNkdpPjWum/JvxMdrMTZg04YQ2TzsPCQSEAN4aHxzprS8Cm+yY1dp47bXXkJ2dDbfbjSFDhmDdunWmcQsLCzF16lT06dMHNpsNs2bNOi00EkJQW1wPdSUjXrnokLS/SAOLQHfAEAkvEXOiJ4yAWuZPLceMWtbBiWhhkiEtuN+iclW6eFr0Y068UDCrp0TFVfMwYyK6swafv143iXkOv7oypqfbnac/+GwDTa+IFrV8vZ5sGWb9yqfXxyNLH0s7PyZoOhC2/XRaw7UZW6aaZ3hHM/MwvV/ZFZCof4xj1hgnmjFL52UO0bymx4O4r/k/0TwQ08aOvRLF/HY4diyI6LEx9LJzQjJtNwJ2HullhN9TD89DzMZU+HoY85VAIDnC9dzpQ5sSwgsXLsSsWbPw+OOPY/v27Rg1ahQmTZqEvDz+U3cA4PV6kZ6ejscffxznnXfeaaNT8StQAvpduFXM8QAdPJPjIRIOwXCecfLh4nKMzMcoEIzClWe47ASkmRYt1MJPCELVw3xSsenNaefrqdPNxjcyNXP6ePqjn7L8HrVI+PFx2TC63kbaWKWH7g9xP/F5GeOw/U2nNxNW5kxYtPJnaRGDb6twYyRYjvEWOVrwiZg9a7pny+XTsfu3vKA3U2R4esW/9Wf1/2z70squKD1NvzkvYJUQPT6bL923dHze5kArb2a8zrjhFH7s0+POqDiY1YvOQwx1vtQyjrOthTYlhF9++WXceeedmDFjBvr164dXXnkFXbt2xeuvvy6M3717d7z66quYNm0akpOTTxudkt14uRtBCXc8IDqmTjPaaISU/sxOGlp7pX+zTIumQb0mUEQf/9uYl9gKYMxLYmhQ35sxATENvNARmabEwoCtA2+G5fMJ1950m4fX9EVliVZnZooXTaPOqMCFGfPW8zOzEpi1paiP+bTi8SJmnqxAoNvDvG90AWjeHmbj04xBixRKI+1sXuGUZiKk33w+ipSs8OAFsZlwMksvbmtjvpFW3WbKlWiuRXoWtZkxPzZ/tkxjvGjboGRfWZQxWxanZBCvqqrCpk2bUFJSAkWhTUfTpk1rFsJY+Hw+bN26FY8++igVPnHiRKxfv77ZyvF6vfB69XuSa2pqmpyH7NUveBBpOeyeh9nKJDrw+24EZhNLRItavsT8y9PHrx4lwW/62RhDn9hqGWw6GN7r+YjqwU/i6FpNVN/wjJxnROqurIg+PXakvEU006MiHF2idCKmT5fF1qVpI03Py6y9xcKX3lig60ivwPg89e/9sspJeNACVC0/0reD+XZnlZrwylB4hdEG2lMg8tgQKcbiucnCTNGIJo2RExhjmyk1xt1qsRDV37G74RKVu9iqwMejw402iqaMaH9DZA/704EmC+HFixfjlltuQX19PRITE6kPikuS1GJCuKysDLIsIyODdivPyMhAUVGRSaqmY8GCBZg3b97PysNT7YXxfGKOQl8ByP42/hKxIbMBCEM+xvf8wA43NOmJbhRS/CqUzkviphTRasGmMWr3ZiJBZFIiVAozOozx6G/7GvMxa2GeBpFColMfrJ167pkVnPQqXiSsxfU161tjuRC0orgtdepFjJwtNVzr8G2g58vfZy0ui1cyCRStp3j6CROXFUIsTdG0Iz1OdN9oo5e0rmwa3+m9Gm5laKZomI12vm/FSpnxTLORFmM69YmAF3WsF7ioHvz8Yt3kjHmEF3jmPEIscOmz6yJFkc7N+EYtSVfUouN5QSR0ODPOCjfZHP3II4/gjjvuQG1tLaqqqlBZWan9VVRUtASNFIxCH0DwHlkpcoNHizlz5qC6ulr7O3HiRJPzcLjtoQESHDJewf3D5qsWMPHCOTWI9v5Yc6MxHZ2HGczoYcugJwRrvjPSImbKkpaOZhH8XhxNM70aYVcG4nu3jQJCzETY/WxWKBnbjM5D1F5iTZ5OL4GnSxLEZfNjzbL6e3E4+0dDjWcuYERtwNeZbmtjWfxv0akBlh4a5oxfHJ8d45HUUJpm8YpR1Gd0XLM9WzosfP+Z7b+HU6YI98tcQPJ8QFQeG49XkvgxKhp/Oi38uGHbycgHeJ4HQxyaNmOfhd+2o/PseF56lHFbFk1eCefn5+PBBx9EXNzp/QxUWloa7HY7t+otKSnhVsc/BzExMYiJ+Xkfe3a3c0MKSSld8+bBC2LjM6tRBvMRpZdM0qjvdB2T1YdZoUNPhEgIF0enN1rNlBXExrx4HZ+PZ5zIvO7P0ydikHTbsGXwtTC2m06DuBxQ9NNxRPTpJfBMSLSm0VsoEox1NF5QIRo/+kooHIhJWlG54nj0OKXpFM8NI3XGPFR6xCXx/R4d0xZvS4h/67QQruXMlQkI6y6qKWuCpfM21s9sHvB9KppbYgVH/ziFUXnhqVTzE5dlBjOa9DoR7sms7U1LIgSQgPrieiRlJoah5vSgySvhyy+/HFu2bGkJWsLC5XJhyJAhWL58ORW+fPlyjBw58rTTEw5KQNHmQiTmFd3vcNovv3pjQWuKdLhEhZuVpcPGTAQxeE1VYp51GsIJS3Phw2riLEM106ZFEzaSgkSvGPSwcMKBpt+MrvCrGnF8EVMKMlze8iGih2/TcOUb6eDDRKs0s7ERXdtER1e4OrBWokhj2kxx0vMJPwfFKz4zxRtMHDZMrFTyq2tamTCnMZoxaSzbvC9pOsxWneIVfziaFKa9aVrDWQBs1JWkfF2MH6XQ/iV+2BGARGSTe/1PP5q8Ep48eTL+3//7f9i3bx8GDhwIp5P+HuPVV1/dbMSxePjhh3Hrrbdi6NChGDFiBN566y3k5eXhnnvuARA0Jefn5+ODDz7Q0uzYsQMAUFdXh9LSUuzYsQMulwv9+/dvMTptDhtsDkk7pqQ7JoguHjTu8on2eFjt3vh/XhDz2iMdn92BMZYmXn0Z1xTEECJ6rzMNngWxJmx2gtNv2dU6rd3S9SEA17Z8eWyZeikiVsE6zxHTmHQ4v3toxgQlrk5GqsxuOGP7lxfoxvbiywPoNmXzNFutR1LOxG1tth4V50n3obH1w9NI70sTYT3N5gS4d3x9xDvC/NzU+9SYB9sO/Jw15snGEc1R0aUuElUSG48dW/RKnW9znieZ8S2+5dQ2N5bMzyR2XNDjWKLC+ItPWGVBz1uvn1Gx0GPYJYAQwA4Cd7ufZ/FsLjRZCN91110AgPnz53PvJEmCLEf3AfhTwU033YTy8nLMnz8fhYWFGDBgAJYsWYKsrCwAwcs52DPDgwcP1n5v3boVH3/8MbKyspCTk9NidAKA3S6B+Akgic2oYsYvfmaFF6/9meclvqkp8gqdZ1BmjErEVMLfUmUmIEUsW7TaJMw79t/ITNUYT2fe7HWNkVzi1Hji92o76M907rSAEHl50goaX08ReCEgFqyiPNh2Z9OyooSmUaTg6UzYqO6Yb4uAq6+RiUuGN/xYEccR1VGkIooEilmfms9BXoiZCU02R/3ZfAUdqf/D8Q8jdXQ44dqEFbjh8hYrUnpr0vXm45qDVxz4so35s8pM5HZyOM+ME7oSIYKPtFrQUFNTg+TkZFRXVyMpKSmqNN4aLza89ENwMErAV34f2Kmmgw/XmT89fPlBy6Y1apbhWGcwPq8Fi0WVuLzgOzYXevrRcUU0GKll9V+eDjNWBpNwtiyd3bCh9GpHdK+wuGwxNWI2FG6nmvWk5t8Z89LfRK6/WXl0Tmb1oNOHU0lYhUb/rfququJLH8si+kWiVdRj4rLD1YbPjR3zorrx9JgL5/CIFCvcGDDmoCtG0cyx6KgS94kxDqD3r16+2PM62rLNaTLauMLRTdOnwtyH4VqD5TZzaGf0ntKnSZSdijyIhNa/OPMsRMAb0Cc5MR+q7C/9Pcty6X1VfnVjZH4s6GnNx6BXFnS54hUCv+oQIRLDpvPXmbSIoYbLm9eA2bz13yrddF/wmnW4MtXfqkihS4m0B8f3hVFcqyFmQlfcd3wfixC+d43qm6gcOtRsLBufRB7kariZUmBsK53h033Ht5uICpZmkVVDV8nYuolrFl7ZNJakz1tjanPBT+fDj0GJ+RVpTND0RDMv6P4xo1IcqtLEtyHblsaxKmpjei6Y15HnD+Z9aAICNJS24Ruz1qxZg6uuugq9evXCOeecg6uvvjrsHc6/NEh2/Vxs8PSUuXc0zaDod0GwTFIkPCKbsIyDWy+TP54QPh+ixWEZrFkYnYYI4/PlEpM8zZ28+LKNk5kw79h6ierKtpFeJk2jkQax+OPLNNJkZnLW201Ep7ifVJO6TqexDnx9RP1h3lbicHHeZm3MjjtR/9Dlice/xPSLaPyJyjSOSZikMbY9K/REfcmOF/GcNfZn+HYH985Ig1gBNpuH4duW/h2+z4z1YGni89DnKu1cFW7uiseeuK2ia7PwcMa5oozZsmiyEP7oo48wfvx4xMXF4cEHH8T999+P2NhYXHbZZfj4449bgsY2B6dbNXmYMxizgceCZTY09IFuzFfMCCN7a5oLCmNZ5unNwKfR8xbTSU90kRAU1VMsNMX08cxNnEbMpKMT1GzfsOWZM0W+X43l0oyOX3HS4WxbsgxR1DbiFaCojmL62Xji/qaFHp0PK9Do/FlFiKUhXJrwc8FcieCFj2QIpZUKOg5bT5EHcrh5xfZzU+shEqJm9TPz5QgnpHlhHM2YCqYTzyPCpBPzA/M9ZTaNOE58xplxWUeTzdHPPvssXnjhBTz00ENa2O9//3u8/PLLePrppzF16tRmJbAtwhnnhD5YjFOVhTqcWPMJa/YRmZZo5xSR96e4HICfNAgTztJh3KkRm5uMYRLE1BCuPLY0MzOTOJ2xPPGkZWnlW4Vl3mptjbHptuL7iN7PDxdXzc/cZYpvJ4lJa97vxncS15ZmioFxH85cedDHnsh0StchXB7sb9apRz/DHG4si/Jm+40dD7zPBbhnkSCnTzjw40pcOzYO3Tei9mNhbGc+H7osdoyYub2JQY8Rtl50zflVsXH8GWdPJFM8mDj6WNAp5vtK3MYkQh10OFx203enE01eCR87dgxXXXUVF3711Vfj+PHjzULU2QCbDQAIQEQrFVrzU1cvqgZHD0YjeG1cpHHzDES8PyeiBVw81jQcaaWqli/Shvn8aZrNVgWiOhqZoLHdzMsyz4em10wp4etF02tkf3wbm5st2TJY2nh6xG3FmutF7Idtd7YPwo0Fs3bhy6P7hKXDWH/juOfrKM5b3H98v4ryoenjy2PHktm8ofPVV6rmY1K0ygP1W9xvvHLBrw55utTyWbWS70tRv7JjnO7LcD4VbH78vKP7Ss9DNFbM+JiIPjaczyP4GCpfIoYv3bUumiyEu3btihUrVnDhK1asQNeuXZuFqLMCxPwj4CpEgzecsBRNIrMJYCaQwoWx5YanUST0jJNGLBBs3ATSGYvEhel5sRPSfOIb8w5Po6hePAPh214sAHk6zNpYFC/8dkH4OGLhQ78Tvxe1Kauw8QI3XF0liMuM9MyXwQsrUTi7d25GCwR1gzBcLCTVeKDiRTOW2HnAjp3IymO07U0/s+WyAoeny4zfiKFocfU05uMz+mfepM/G4+sbiS8a8pGCbSGBhCyWrY8mm6MfeeQRPPjgg9ixYwdGjhwJSZLwww8/4L333sOrr77aEjS2TRACSAQ2IoE2legmGnqQmQ13o2lJfVafaPMQm5Meny3LPA1fLv+vkRqJok+nR3TIh6ZbVN9wK0OWDvWdeTvy/rA07Wxeojz4dGyZPE18/UR9KDFtp4aatztfZ9F7tn4sjSIhY9YXfDvQEPWlaEway+Tbm/5OL91/4VUTNY2am2husKWw9dfjiucNmPz5vNl5aX7UiBUu4jbiaRPVx5ie7XtjOcYPsfDzIRwdenvwY1z/TIrZIiMSfzNvS30ehIsrcWnY/qe5Eq/cpw/oaEL76UWThfC9996Ljh074qWXXsKiRYsAAP369cPChQtxzTXXNDuBbRWSUwIJiEwl+v4OPazYAWTczeFFGD/4wzEgfqKI94rYuGY06r9ZetS6sTnzdIvbwRhmzEnEboz1MG8Xuq7GSW7ORGjGrpdNr9bZ+ojraUY535Z8XvqRJTom34Z6XcV0i2iIPJb4/jSG66n5/o50oxKdF39TliSMz98yJlFv+bGo52Jed9H4M6OVzpsfV8a+C1+usWxaZOv/ssJTp4BuB2P+keeD+bw2p5WtL11H0SiPzIN4OmiEG3ui4316rsQwOnjFLjiOFDjcZ8YJ3VOi4tprr8W1117b3LScVUjqkoya4xVg100qWOYB8APebA1gjB9u0kVaQxgZXTj6REyNXqXw78OVJ6p7pLqq5YgmJivoRXmJ6mOWRu8HI3MSfZ5R/83q6EZGaebKBoBqRUlAPVsXuu/N0onbR4Rw6xXRdSV87k0ZZ3w+IiHKjw9epJt5nZvRaMzfWDarKoloFj2LwiPNczYsUtxIZdIKa3jajDA6S5nVX6yURC5HVKbZ+DKG0eNZFN9ciOvvJUMaoyCmYUMANhDUnaxCQpd2gnxPL86Me7vOQvhrGoOjQdKZg7lgM2pzivY+/ABkGZG6r2rm4MCuvOg/myGdkSa1HPZYhWQony8PWri4fBY0LXT5hPkNpo70e3OBYMyfLofNx2xPSkSLCnY/TLRXaQw3L4t+b/ZbdHSDbR/6nTlEx8KC4aK0fHuJ2oSvP932ev4whIdXliSOLlE70vnR9PDjW3ychs+fh9mcNH9nNlZF842OL+prs/JEzkuiNPpv0RgU740T0/jh6NXHAs93+LEmHtMsdF4nbhuVzuBHHGRIoQ84OEICGADqi2uFeZ9uRLUSTk1NxaFDh5CWloaUlJSw3+89Hd8UbgvwVTQYZLA+MFitUNc4g/qm8UPn4olH6438BI6kufK0GFdUfEp6MoV7b6TBqO/T9WbrIabRqOXTKejVML+qMGvhcKE8E2NNgfw9zhJHi7g+4d+xddF7lu1HcT+wJkHzY0PhBbFaPt1fIsHAxxH3b/iVoTF/UXk83axQpcuMrs7hhRcLo/ARt56oduH6W5TO2OPBZ3aFKx7b0bSVuP56W7E2ivC0suMrHK9h34lWufqYZctnzfNinsFbIczHiqaEqbc0SzZ4qxuFtJ9uRCWE//rXvyIxMVH7HU4IW1BBCwn2XyMDAxdHPNDowcp7erJCVQ1jmbpoQhghii/Km03PlyVRcdmzkaLyWdZAv6HLZgVpOOEqaiMi+JctQ/Q7Ej2i9hLVS8S+IrWvOT3ifMKVy4fTK1eRoBUpksF/6dHJ5sPTJ24/XvCwfcSn4/M2H0eifjHSGElVEYkts/kiqlM45cFs3ovSm431SH3NKrSiOWrGL0T5s2NEBLO2NRsjLM1GekR9a4wXaY6oixyFKHC42tCe8G233ab9nj59ekvRctZBMvyJ3p1Kfk19H16QRB//1NKaM8xIE9b4mw2LNBGjRbjzjuHyMVOsIjGrSPlEQlNoiqbcaMoK18bR5N20/oicT7RtHM34aur7psyvaNqvKXSJ0jd1ToroYZXhps6BcPGiHQtNjdfUPhLBBsDWVi/rsNvtKCkp4cLLy8tht58ZlTpTQO9DhTN3NQcimxvDITwt4fM2T2uezkw5aV6Eb/NTFRAtA3OzHl1+NGZm8YoqEsIzw+jH16m28c9FU8tS5yWrMJoLycir8FNBcyhhp1KmGV9qPpxK3s1DTyRBLQGoO3FmbJ02WQibffnQ6/XC5TozLsQ+MyB2+BE5oEhMfOO/RucDiYuj5g8ET+bS5el0iJxA+P0j+h3vwGTM01gnvQy2rnR+bHm8OZ59Z8wPMKfJ6JQmisPmIxYwvHMVKBrY8sRMWS+b7Tu+HsayaTrY/PQ86TrQ5dDhPN16fdk8+HYy5sf3PV8u63hDj2szJ0KaPlYQsmNR9I7tI7qefFvTf3pekjAfsbCi6ypSKHnhztLAjheRwiiuo9nY5ctg54IoXzYcVBo2PT9++fFmroTR7Ws2bkXtzdaBTiPq3/AgAGpzyiPGOx2I2ij+t7/9DQAgSRLefvttJCQkaO9kWcbatWvRt2/f5qewDUKRFUhEASSzD4vzWreZIGbj8YxDHI/fc+X3kEWD1Ww1JFoJmKcX0W0MZxmaHmI8cgVDmCgvMU0iuo3l0/cjG9uLLY/Oy6xPjPSKP2PHK0x0HYyl0YxQnF5EI7g4RuHIp+cZc7g8RP0vpiXy2GJ3dUXCiu4bYzlEa2k1Ni/w2fFDl8O/5wUIMVBg3gbm/crmTcczS8MfdBOVaTa3zOYoWz9jKnOFS9QmbLksvWJBzPcjbwIX8xVRuNovIu93feREhgRA8cpRxGx5RC2E//rXvwIACCF44403KNOzy+VC9+7d8cYbbzQ/hW0Qko2+4F48PQ3xEd3A4dOJJ5yYCYXDqZQebb78FDSGiejlJ2jTahOZJuO/bJlNbwtVexc5sojLoJ9pxhfNaKAZolGBMS9P5LgWqQzzj6NHQjihbi782fiR30UWfHxYtHX6+aZa8VhrWloxzIR7uD4OOiWdep3Ct1s0Y1bMDZvK/8z6RbxgMKfaHtvGrq1UP84wbtw4/Oc//0FKSkqLEdXWIakrYGK+EhPr+6wuxw8g+niK7pManl3yGrYY+n2wuvrAixbjioRfNbDpWGqN61Aj8zBOLZ6psKsgOi4v6M3bli0j+nqy6Y0003q46KI/EYxx2b6P1GeEopSmkS3ZSJf+dRpCvWdHHs/KzNuc7wN91WvWfqJ4ovZgayRm5uxdTnyZ/NwS9blZXHYlKbqtii2Tn6vsKOD7gZ4XovHKtget7tPUhlOCCeg+Fo+DyCp9OGEnGhc6D4icj947rJpqTMH2F79OFiP13MwoYrU8muyjvWrVqpag46xCcN9cZP4VrZbYyWVmPgQVT//NX7/ITi6aDRlFIM2cBTUxlMe/F5mxjFMs3GrI+F7N30xwhTfRArQIkwz5suzFvI4wjROuDVjlRy2PZRliVm+k3Mg4ebZJs1iROY+vIxGkp99J3HuWAfPbHXo6UTvx7JEe06K7mvQ66DF4Jc2oGorOjYrHWuTfovzCz0NaMEhMWpGIMY5vYy78PDEfJyz4NHRb8eqhUYAZx4H4k6h0Hxlnoqp8iuvDi1Kj0qfnRyszehpjuxhHFD8e6HJocc8Kf7Ey1vnS3lx+rYEmO2bdcMMN+POf/8yF/+Uvf8Gvf/3rZiHqbIG58w7/LBLYkWE2aVUlwGzfT5+4EtgJDOqdGcxNQpF10PD50r+jbQ9W8EZbXjT5hk8fqY/DM1aJimPufGLML3Kc8O+if6brdiptwdJrrgzxtBjLE4dHs96JDEn7EyvO5unEwpnN26zMyCAQt2k06diyzPIxLhgiLQDM28eoUIR7Jy5XPH9FbSnmZ2aKj1oOCwWAAuJvo58yXLNmDSZPnsyFX3HFFVi7dm2zEBUOr732GrKzs+F2uzFkyBCsW7cubPw1a9ZgyJAhcLvd6NGjx2nZt5YkSbvQRCwgBWmEzFW8KmPzNR+MYs9NttxIZbH58eU2DzM0FzDiFQOfLhrmLnL4UdOGr0ckxsl6B7M06v8aVwSsp23T6iJGeBoiCwrRmOAd/SKnMaclXB3E7ay3T7TjTRcskdvj1BS1cHQY29pMsESnjJi/CzfOog0XKzThlWlewQ+Xl9l4ima+iQQ3n5eYRlvok4Xq1ZXBvwAcUgB2ECi+QIQ8Tg+aLITr6uqER5GcTidqamqahSgzLFy4ELNmzcLjjz+O7du3Y9SoUZg0aRLy8vKE8Y8fP44rr7wSo0aNwvbt2/HYY4/hwQcfxBdffNGidAbBMg2awfLHAGCIQ09g8UqIz5tmKkZmTqi8JSoNDGmMNBjzYYUD/5sWQHR5xrLMaGDbhhZOMI1PpwMVn24nui1FbaC3OZs/S5uxXWGglV5V0eWA+eMVGl5RELU7PZbE/QNBGiPE9aCVNra/jG3Jjy1R/sb2pNuJHqtiZUTU56DS8G0iGl/G9hUJcrYOorEH4Xvx/OLL45/ZeHr70AJbVA++jejxZmx/ei7z4fzcoceyqAx+PonyEo9TaOlg+M3yQP3fyHPI2Fb8nAR3J75dUp8V2GPPjBuzmiyEBwwYgIULF3Lhn376Kfr3798sRJnh5Zdfxp133okZM2agX79+eOWVV9C1a1e8/vrrwvhvvPEGunXrhldeeQX9+vXDjBkzcMcdd+DFF19sUTqJQiARRTjRAFDhZhqdaFKxDNKYF0OBID/zZ5GQMsvHSBOfD/3HlmVGQ3it26x8MX28UgPhbzYfmlGJ8hcxDjENzQVzes1AqLZnGTzLuFjmLgEw7smalcfmzyoWbH/zDFMvk62XWZ1FY4cvK3JfiGhn86SfaQEgyo9XoESKHVt/8dhkhTcd32zeG4WVqM3CtWW0vMRsDJrNEbP24oUpKzhFAtucZrECHHHsSkDd8TKTWKcXTVYFnnjiCVx//fU4evQoLr30UgDAihUr8Mknn+Czzz5rdgJV+Hw+bN26FY8++igVPnHiRKxfv16YZsOGDZg4cSIVdvnll+Nf//oX/H4/nM6WcVH3lNYIBUuQyTU3CNShZc6kSdi3IrQcrU0tg6a9ZehiyyGCMDEkQzyWNl7InDrlkgktEsQeyJLhyfgvD759ReGRaCNUSSoURPZUjbYcJcp4RGuBprc2LZBEHzlo2iyKVJaxV1pWmQuXe3Rjo+k8JNryI+UtSh8+z+jyq9x1Asl9Wt9DuslC+Oqrr8ZXX32F5557Dp9//jliY2MxaNAgfP/99xgzZkxL0AgAKCsrgyzLyMjIoMIzMjJQVFQkTFNUVCSMHwgEUFZWhsxMvgO8Xi+8Xq/2fComdiIbh4cCCXYYvQ5pD1D6//rg0uPrITp7Eb3VQ1hhIBYxerliykC95XPjv2TEiyG2HoRKr8bSPThZ/0o6R5ZxGePw74zCQXRoyFhvY/486xH5OxNIVMmsACQcdSzoVhYzDVoEiIQuqNSRz4HSLcr3Cl0CmCe6ZH5VbXbUih8jbBy2v9X2ZesOGPuMUL/ZFakxF+NoE7cjP7v0+rBj1Die6f6my6RnpTGMBlsH0Wymxwo/o/nZR+fK9o/ExSVUKroGbN/y84v2wxYdO9NpVfOkwStztJLLjzq2RcT5ilGfXxllzJbFKRnFJ0+eLHTOOh1gv+BECAn7VSdRfFG4igULFmDevHk/i8aY9vGGIQnEQkEjw4Y0+qhByQq8YHzRb+PkZE2MfB6itGCeCfWbFpMi8GJDtPfIwijwjGxELZdmu8Y04vajJz5ftniviS6TTSfqH7O4+js6LVsPdj3BMgzJ8IYWJkaWLOpvMPTyv9k2ZhG5D3jmHL4sUd+qv/l+UFMY47Oqi/EdLWjCMXXxmJRM39HvedqN79k+CUeTuN1EcyxcX/F0m/el+l4/mhRuHOtpw32lik7Lzy+jwBTRGV44ms1XMOHRtVEkSABkjz/K2C2LJu8JA0BVVRXefvttPPbYY9r3g7dt24b8/PxmJc6ItLQ02O12btVbUlLCrXZVdOzYURjf4XCgffv2wjRz5sxBdXW19nfixIkm02qPccLorBATZmSEmxSiuOEYYaS0TYF5/Oho5ePy6YyDLzJ94RimmYA9dYjTn3r+LAMNl7+5Emaeb0viVMadWJBHEz8aeiIJn+ZGU8Z89DgVg3nTYdZvkRTK5iszWjTvnI1AAyGA0kaPKO3atQu9e/fG888/j7/85S+oqqoCAHz55ZeYM2dOc9OnweVyYciQIVi+fDkVvnz5cowcOVKYZsSIEVz8ZcuWYejQoab7wTExMUhKSqL+Tg2sJ6j6p79XQTNokaeoWXr+WWLe8Rown5/YA9OMTmO5xn/5cH3lQKiwcJo8n54NZ1fIbD5825k5tbH5qnHMVjoq7cZ2ErcJW1+6DFDpWUWCbgNjOTQDZVesbPk0jHSEF5B8G5s5J+l9aTYO6bLFKxjRyspsXPH0m1tO+H4zlsHWRdxu0SgQ/Fyhx4n5vDU6FZnlLRrj9PgUvYOgjURezca04j7n6aDnAAsjD+P7Suz4KeoHtl/FvICnuykKgCs5Luq4LYkmC+GHH34Y06dPx+HDh+F2u7XwSZMmtfg54Ycffhhvv/023nnnHezfvx8PPfQQ8vLycM899wAIrmKnTZumxb/nnnuQm5uLhx9+GPv378c777yDf/3rX5g9e3aL0hlo8FKMh2fuvKeqmaeomJmxXqi8d284QULnpT+DSSNRdLKMmDcfggqn6yNihOJwOkwy/BnbSqLoVMszNyWy7W4uXER9Ek4BIgzNfNvybcEze5YuNk9aqeAVIn5c8GNMJMDoMSXOG0wYr8TpcUTjkmfmhKLXSL+xrHBzyJi3xOXPjiteSLF14fMmYNtR/Ee3Oy+8+L4Rz31RXnQ78mOW/832DztX2TaQhPnTfSLqI7M2M+bP95WxXD49Oxdp/iOuv4h/sEoDh9CWZFLfjuZxTiOavCe8efNmvPnmm1x4586dTR2kmgs33XQTysvLMX/+fBQWFmLAgAFYsmQJsrKyAACFhYXUmeHs7GwsWbIEDz30EP7xj3+gU6dO+Nvf/obrr7++RemUG3yhQSABEN9qqyM6zY1PFzk9L4QipQ+n4Yqf2UlrFt8cvNAzQ7g8oy8vXLpoVj7hy+PzE8eMzhR56mNDpIQZ8xUpHZHyDPeeFrbm+Yrzap62CD8+9PkYLp3ZOI+Mn1cHVlk5FURH+6nlLU5rtkoNn0d0fMm8bPPxrv8OPiuMCqHnY4OMhpzSKMtuWTRZCLvdbqHH8MGDB5Gent4sRIXDzJkzMXPmTOG79957jwsbM2YMtm3b1sJU0ZBcarNGZnAk9H8p9H+JClFjmDHySEPYmFaNGX7KqGqDxLAtCfzHEfnS+bx1Gs3KbxqNOj2qeiMJ3hvp16kX02d2+T1NH10P0e3HdGsZw/m2M+9TczpEafXfdHvo/4pvf2ZjNQXi8tWPf5j1R7RtZuw/nm7R+DCjJ7rxTtMZqT3UetCzls1J3BdiWs3GMU+NqB78WBPno9Nmlt58jJrRTOcq+uCGmA7RHBHXRZ214fkB65NNv1PrpYYHb9EK3uHgragzzfd0osnm6GuuuQbz58+H3x/0LJMkCXl5eXj00UdbfIXZVmB3OWC+J8KuPMPvaxnNMWo4a6JkTU/8s5qWzsNoujGmpVe5xJAHv9KRqD+RGRVUPHC003WSQNNH08X+C6oOtGYe3rTG1lNkchebU411E5nVaHp5k7bxma0ra2ak2543z9HtA9B15GknVF1Fpm6WdppukfmPbgORWZQPp9uWHm803RJFD923rBmVHcPGd+I25NtY1CeiftPz4+eAaLxEmm98HNHcYvsm0twRjQXWbGz+bJYnPbb59qbHkLFdxXOKnVd0GxrbTDwPWb5H91fw1iw7FO3PJgGSBMDXRr2jX3zxRZSWlqJDhw5obGzEmDFj0KtXLyQmJuLZZ59tCRrbHCRHsFmD/2eFsR7GpQvzzApw4+RihYDEvecZHQzx+d8qjaKyWIbIgmVYhKkHK6zF9TXmZV4WTTevC/N1ETEHvny6f1hhwZZLC3++XmDCzfqCp1WkPLBp2fqL8+bpkah34Wg36yuzPon0zkwxBPOObVc2zamVzefLK1B8PLN2aSod4ce7kQ6WlvBlskqvKI1o7JmNaaOQC1d2JJ5hNn9ZPqCHR5pL4rlL52tOr5YLUf/X+miyOTopKQk//PADVq5ciW3btkFRFFxwwQUYP358S9DXJqF4A+Ans2hImIVH895M2OjxJSZW8JkYnoKDnmgxdcYcni4abDl8+pYZ7Hz9jFdkiMznZmlF9EZf/3B5h6NDZTjsez093Vfm5YWrK4H4OgsieB896DrSOUaGqH1/XptHC36shpsnovnA0ynKk4aehu6rU68zT6OozEjp9d9mKZret9HlISGyqTlcXjyvCz/fuXwkwOY4pRO6zY5TvsH60ksv1a6ttEDDFjJHi7RKVeDxIkoXHwD94XUJ+r6HiLkbhaskHJxqWlrcii5DMFKl0yppdEBLT4fxIl0PN5bK1s4Yi45PT1Sa6Rhbh6bfjMlJVGo9jZoTX2s9RHQ3EN0axhbQ6TCyH7rdxSsDPVynylgGe0+UsXQ9H33EGIW56GP07KpMfP+TiGHzIksUT8Rk9RoYZwKhShWPYJpqsVIhFuySoNaSobY6XeHropdEz056HBpb0tij4hU2ewcY3frsHOFDCJef/oumUHTZisTQRdeU5SXsfKPHiPhLxDwFYsuVsRX4fOj2Fc1NER1qL9AWRBkENoAAcd1b3ocpGpySEF6xYgVWrFiBkpISKMyB53feeadZCGvLsDntsEkAIaoANiKcWVMHvT9iZM58HHXAGvOk86LT8s8kTDpRuWZ0RzKN0nVhf7P5h49rrkcb24yf9LzwEecnqjNdF4nKUbRWoPMUlc/Sa5aWL1OUt0gpEeUnujqR3b+jVQaWXYvqwYbp+fHtw7enWfuIt0noetFtQkPUr7w4F6Xn24MPF9NjNuYR5rcueGlhbz6OWbpEdRK1sw7xGBe1iXnZrLpFKwRsW4nGjCit+fw255+iuSBqHwkKFEhoNzjbhJrTiyavx+fNm4eJEydixYoVKCsrQ2VlJfVnIQjJaTcwPFpToxHpORo0PY3ZZKDzOxVaRPk0NR7PRNjf0eYdSVCY5RNdWc3VTuFB02J2y4+5MBGFnUr9xGMm3NiOlH90cUV74uHShI9rjB+Jrpbt10hl2kwFvzi++LlpZUduu+jnoWgB8nMQedMk8jhQw2wgqNpy+GfR01xo8kr4jTfewHvvvYdbb721Jeg5e6AoABROSwPooWJcmbAmHjU2Hc5rn+paRX1PG1R5E7BubjKW/P/be+8wO4ozXfyt6hPmTDozmtEkaaSRUNaMcpZQApQQIpiMBTLJGAP2wq5trgPc597ngi+LzeNrexfz82IbWDC7YC8YVkYCEZVAAUkoB5SzRpNP6q7fH326u6q6+syMNKNR6Pd5RjrdXeGr9IWqr6pkqKaA1NOaMpNWTzESO75DmdtOEqfw3Kk5qYhxmIsW1Wq3F4txUyRPcolfnX+dEOI79Vq7mCc/se3kKtJEQKSwYm+BHUqepOTjOVauPNUvLgvI8flwss2pLpu7T4m90ymZV71Y6XhvmeHHg9z28lnJbvEl1pI8MsVak9uEL4+aPtUo5Uemun0cSsWpaL4+xHzcG3PkJQgxLj9+nfqH65l/J44od9+TJ/rF/iZyJrGVxLaRx5y8VEWEGOoa4mtAbHF3H7O+t+w55vrWFWi3EE4kEp7HRPowkWqKgei69NZtMbiFcSaNl2cs4hqX5YXsDuekJU8LifmqV1v5gS+zl9bolIeA7M3rZoUyzfJajvu313d33jxEwSV+kadk+S9yWpmn40Wa3GxcDk/sZ5mNqttMFAGZ2rj16Tv+tyjoxW9yeVX1A6EOieurnI5bnWkb7WqBK8d3fstlZTCnAa15KlW7yW0tqz5yuu5xpa5jKyyvZPIKhki3Klexn4rvvMcCk8LJ8cR3okIqlsHdb5nrm9gP1eNG1c/FOCpR6l4acWhsTQA7UQiQknl016Dd09H33nsv/v3f/70zaLlokDhVDzAGcxqNeckqjy7iZhrmsxcj80i8FXgxVPX6pJxP63lm6P7c90zTX2dWLjNtUSlRpama2spEc2vlaQ9IxvS8y+3N0NuXd6b8+Pb3Er7iO6/+kulb5nZw5+F+zqQEthetMUG5HkQl0KuveaXjFtSQ3ruRqY4z59eePpOpDdVQK3Rng9b4njqcSgC3gvNkexJwBpZwLBbD7373OyxduhTDhg1zXYTwi1/8osOIu1DB4ryGxRAnDGDiFIqs38pTP5n0bTEF8bdKYxf1aJWWKGq8KtHoTPWI3ou8LeOdp5Vq66s67jLIdoo8Wchr+OqpQ7jeybm4y+kug5xfpnLxtSHmoyqbO83M9PBlzkS/uwxtTVcFsb+ppuvl8LIfudNPVLYM37/k0SBPmsv9kI9j2KVSLbXIre4og159002N/J1PyR1Xna6qb8H1LE69u0dg6+JZ1V+9+r4ZXjWpreqnrfGnTHAviojfeCq8aXXT7M4nYzzakar1maPdQnjDhg0YMWIEAGDTpk3Ct0z3+l5KCJcVCE0fBJBwDUUVkxanI8WuqR5uYgruPDJZ0N6DSiVW3YzLna56Gotfp3GLB5FRZ17PVpcDyvSZK3VxyDMpnEpwydPDYrlEetTqFL9lS1bDeCWGp9CtAsies+L6mttjmglPYhvyTNy9aY0Xam4lUd2XMol9L+9dMT1ZzKlYr5vNEum3zIp5+vh28+pJ6qlfJ3VRqSAu+vhfbjrEdnZSFUeCu3/KZVeV0T2O+K9uGlXqiVd+fAwvkSZ+E3uRHJJ40q/On1dBrDjutJ22VfUEmQgzrJYb9g5zDtFuIbxs2bLOoOOiAg0H0yOLWf8pGIjIMOH6n4eaAYnbFryEpfu3nI77XSZaVBCtJDluZvtXJfxVNMqaufM/cYluNwMX05LTltM3XILNi173O7WgyiRMMtHnTSP/TV2/ahvCi3l5/a8SSl70ybSo604WPmI7iuI8Uzrib/dap/jeqwxtG38OTV75gQvjTas1bq2QTj0bEFVBr/S84NWv1O3XWr+RnzP1APWYUtePyl/F/VudduYxJKbjtujTv5nTftm9SzxTOZc4P44MuciQOt0EMAMUBgCGIOE1RVnLkxlw5s7YtgHpTisTI/fKyx1epQ3LArGtYBnjECmMHE5Fg4oZ8EqKuk6sNhDpab0cImP2Uh4yW83uNNuiOMh5OHmJ8TLn5Q4rvrP+V2+JatvCgrtdWi+LF4PNLETbRk9mS6718Ezol60JApkutYXL7LZrzU8hc59U98HWlQ91Ot5Gg0NLe3lSJgW9LcpHW/JRGSOqvAnYeXOfcLst4aamJjz99NOeh3Xs3r27w4i7UEECGigca3UUSeJDFhLDZPgtTxZ5dVR+ssnLud+xl8WB5aEn2k/81Jj3JhXCpebQw9uQfAh+qlrNApx81NskZM2erwHnO29dQSq1l1YvlkQO616lcpdQbAlw9POt4IT1YoLetqdqpUwuoWy/i1OsqonUTFOTjAvjpkte67XCEqmGvJWt1vwQIHwV8+CplWtcniAX+6eqf4lpOWHccE+VytTxdMtjkv/unnGSV3zlPPke6TzzlLrX1plUYndpnZxla9NpHQq+bviyif979zJZCXEv0Ig8h68rp8aIkJo83sX0vJexDBDCwJIpnA9otxC+99578dFHH2HhwoUoLy/314EVCBTkgOZlgzU0gYAhm8hehPLwl62XzKJKxTDdjJgfsO7Bp9JivTRPNcMT6ab2kyjKxfzUFoJsHThx3AKfSGnIbjOZyirmrRZ16jrw1tZVtLstHpWilQm8EmU+y4zKmx4rPs90RcVChHsLipw+z1J5hVAtkAFVO2eqV1V8p7xewlROS8xbFimy4PRSSt0+ACrFJlPZ3fm5afSCqv8QBe1yeLmvud+3zkvU09luRUQ1WyP2H3e41vwo3AJULmfmPL3KxiArZBQ6CAyAUQQLc5XxzjXaLYT/+7//G++88w4mT57cGfRcFCCEIDqyL05/vMEWTo42LA/pdBzIA1tKM6NYtuCdfpvohqM9e4Evj5yLW4NVM2xvwSVaEOJAM6AWId4CpC2Cri0Q3braEj5TeTPRI1s63sy9tbJ6Mf0zo82CuG7Zlv7C5+lFc+a+7R4n4lgSGbhcNi/qvMebl5Khhvdo8xZ6DOa9turZBSu2WlEU36hUEnfY1lvITMuxOvn4GV2c7H6a2YuZIXM7wfWmdYVX9U5Wnsz/+ZPHAjBs0Zw3rK8yl3ONdq8JFxYWolu3bp1By0WFUHEerEkCQsy1YZOB8B3Erf1bf2pNr3Vm532sIZ9n5qlRkU6ZHuaiR9R+MzuLOeGcfGRavC1yd36Ue8eE/FUWiHuQ8nXurX3zcZ1yyhAZOb/eJ1smKiVEttq86ljMT912ANL+COI7MX2xD8rlEb/xdSXmJ7YxH8YRmF7peqfl0OnE4+nl+45X/yF2O8D113p+7jHqpRhByNN5x9Mt5mu0kh9vrTt9TXzHP4t5q9ra+i33R3XfV/cRvt68651x8eT0vFQt7/4l8xS+frzKCVedudOjYNCbWhS0nHu0Wwj/r//1v/Czn/0Mzc3NnUHPRYOGdda5pAxU6nduJwdeX3UzGVVc2N/FAUq597wQkBmjk5YoIFSDTi10eOatYqxyes6AdjMzlUBzO0zJdDq6t3rAqZUDUTC6yyEzFJEmPl2RiYnKjZi3WxC747ppF4W4XH88LGWEcc8iXW6G2lo/U/9WCW1VW3mXXxbS7n7jbjcvZc6t+Ijx5G/e/SzT1K1aOGYW0up65dMl9ju5TtxlU9cT/1usf6/lH7n9HRrEtOR3qmfrnZsOtfIkQuRP8jdV2rLwl4W9Qze1w7vhrJ4yNG3cowhx7tHu6ehnn30Wu3btQmlpKaqqqlyHdaxdu7bDiLuQkTh8CiTDqSyyALE6FD8pJLtoMDuu7NTg1jqdN5ksHXVHlcNYoIopYXV8J235QIr25Jcpfb6M5m9zWxET0nHybp1e1eSgrPSoaGwLs/KGkyOD6hALb7jzpVCL6NbjWrRY7UaUYXla25aH3HNlxcudjyPk+P7N0whFHbWt1G4a3N/ce65V48ndT9z0y7mplD6VEHQjU71T6a2oeIh0uWO7+UZr9LQ2KyeOS6+xJPcD+bebx3gtbVnKjtyb2tIfzhdLuN1C+LrrrusEMi4+kJRudg1CpP7qdBcvwcQPZK/hQO1pZ7U3rdfwltmevB7nHS/zoOMVA/E7r/GL+TDPwejUgVroi3Uol0uE24pyD3UVQxXTl4/0ENPgj4NwGLmb5chpZFY6ZEVDZMV8/+BjOXuceebkFnmiJSaqIGrlT9VbxXaSBRRvdYGrI55WhxYxPzcDZ0K5+INLvHqnKOgI5NYCl5La85wvp5iau4+4lT43beJ4k2dzRL5wJnAr9yKFYhvLo4avAYdeXvyp+YOTlopuIpWQDy2m6E7dPQYy109bhK9lDRvxZBtCdz7aLYSfeOKJzqDjogMJBUBSKZg2liN03JpcZktKHpyZrRh3h1bHIVwcLzrk0A59YhncHrPemjuzY4hpi1slvJinN12yoBVFvRzCeuu1hUFl66go4PMiindOeipm7dQDT6VbyXCLavf0uxNC3kripaTI1gOv+Mkl8GZ66v7jxZL5sqnXDEXB4KWcOvHV/Z0XQvy4c6cr+w/IpeYhT5M7OYu/VIqKl4Iq93qx3cW6kEW191GNXoJI7gtu0eh8dx9KKnIvtzoqi0rV6AIXVlVOZ3sVhLzcpSCe9LQNDABLnh9C+IwP61izZg1efvllvPLKK1i3bl1H0qREbW0tFi5ciGg0img0ioULF+L06dMZ47z55puYPXs2iouLQQjB+vXrO51OC6HiKAiQ/jNZvjMI2irwLMiWRWvh5N+tQW3hUIgDlyie5TzF9Us33IJLLpMXc+b/3OHAhfMWznK6Mi1inu41aed/9cSxKLb59lfRxJdJpYzJbK01yMqS9zfxnUpxUCle5jeHXq8+qFqjF/uO2ObqtVV12mIYUQnwGl/qenG3nlhuue296HHCuONC+CYvPfG0i7m4+5sTj08zMz/wLresdLj7npymSL+cpgzZ78J6x49PNw+waFLxAVW+ah7TWptZ+bQp2DlBu4XwsWPHMHPmTIwdOxaPPPIIHnroIYwePRpXXHEFjh8/3hk0AgBuv/12rF+/HosXL8bixYuxfv36Vu80bmpqwuTJk/H00093Gl1eCJenPciZ46VqQc2QMzFFBsvb1T3YZMEjp6Fy/FB3XpW1IDuttAVuxUNlRbSFCbppVL1TMSG38uBmOHwcZv+rcq7ySturDCqh4vaIVdHIhPeyp3t72oFw/8L1m89XJVTd7ZBJSIt1Ifc9NWUyeEFjpMvuJZwz06Kig4/nViTbGt8rTOswy6SqY2/FAlz+7n4s92lR+VEJ4PYp/yorVGwDkUfw71VKNv++NTrcba5SmnnnLnk3gArXBzhnYgKEys6PXT7tno5++OGHUV9fj6+++gqDBw8GAGzevBl33XUXHnnkEbz66qsdTuSWLVuwePFirFy5EuPHjwcAvPDCC5g4cSK2bduGgQMHKuNZQvrrr7/ucJpaQ3zfUQCm1yq/JcHpXkz5zmKd1nurw4qHYVih5PUaAghrxaItpbY03cfvq8FsugD3tQEEPGViWl7C3WsoymVXrRkSmwoxV3nVGVLZnDp0yuWeHJUdg3g6eEbiUOFVBrHe3Cw2AAbdbj8nXYu5GEJNO+mJa9RiOztlcNJyf1dDnCKVT1+SGat3mm6hLP6W83GodgSOwZWUL6UqXT4EP6acPiS2gxNenv4Un93tL+ft7mMyrSrL3N1L5dEjUiS+55U1Q0GFQwnfhu5vMp18mdxQ97XMSoRcVrmN+JV4MT7P58S0vBQ79TkMTmjN/mWGyxs9QJHSuUe7hfDixYuxdOlSWwADwJAhQ/Cb3/wGs2bN6lDiLKxYsQLRaNQWwAAwYcIERKNRLF++3FMInwni8Tji8bj9XF9ff0bp6I0tsJxk+GldC25m5rzPzGycTqayVnjmLwsC7zy82IC3NapiompRLmruotiSxZRqEMmD2ym32zPUXX5VWjKDdn7zzMnNTFTl4XPjS8ArEY5AZLAmn6xYFAy6nZ4Vmo+n6hGZvIFllqtmiirLQnTj8iq/Oz+Z4XsjswWkOtrTaXtVCJlRM1f5VEJXfO+u20w0ij1DVgtF2tUCQ1SqZcHlFnRqoScfmiPTKVLptLH4rbXrOdTKFt8m7jRVwt09u8Rc78S2cQtVM4xanWUuOtw7JdLx0rfpFMwYhUD0/Dgxq93T0YZhuLYlAUAwGHSdI91ROHLkCEpK3DdelJSU4MiRIx2a11NPPWWvO0ejUVRWVp5ROoG8bHvPrgmTsbXNGUoWdHx4Kx1w/1vf1XBrqNbg4adyxU7Nx828TpNJUKvz598TV1nciolKILi/e69RuulinHc5gPRUIS98VPXqtSZmlcPL+iHCn9i2mdusNXcTWViq1+TlNnavdUN6ryqH/L9MhwmqoMk7nvhebld5WtPpL3we6n7F/8+nwf+p+ljm8WQJwNbGgROumsY90lL1q0zKFkMVSSoFmlf68ns31Zn7oDuWWGcRxXKJt3Kjok0ui2PVi/mr+1TmOjUv0BHGLDPT0cIBFEwd3ip95wrtFsIzZ87E9773PRw6dMh+d/DgQfzDP/wDrrjiinal9eSTT4IQkvHviy++AADlGdWMsQ4/u/rxxx9HXV2d/bd///4zSidn1EClnuxm9uJ6D68di8yTD+/u4PKAdDMkmXGJHZTXJInwXdQnVXk69KqZk1WmTMxf1NbV67xqqNfD+b/+JMl9M9JLBHI5iKtuVUxYFqZinsyVhlVeRx+31jz5cKo1NXf6ctnc31XKj5upqeo7k0Uo0+alQHj3A3dfl+OraFSlTYX8Vc5zKjhC11uhcucl0yjGk9MUabDKSrnQVnrq/ir2BVXfn0abUU68Lx1Qt7dXO6mUbzmcWkm33oWIVx+G/c7NP9xKohPfGokyL5D7qhfcNFIwaDBAoUNDCgHooMkkWEr3TOVco93T0b/+9a9x7bXXoqqqCpWVlSCEYN++faipqcHLL7/crrQeeugh3HrrrRnDVFVVYcOGDTh69Kjr2/Hjx1FaWtquPFtDOBxGOHz2lz3njOiHunc+AWNu68pZp5E7pxmmlKRwjGlK8ecMNEdct2XNzxGwTne33vGpykyeCfHlQSDGE8PxygcT0nPyFeN40Z2JrXjHdSjvRgyAyQqMfDQGU6TFr4TK0/uZaBXXt7yYoJVWa0eZiHWoWjZwwvHtDIh9TG4LPk/+Hd9+TtpqJiv2ANFydWKq83Q/Z7JwmFLUynm505D7ChN+y/f/uNN1T2yq8rW2hrnHSKYWk1N1l43vnyHCUEFTOKwH7XeqMrrTVZ9RrRqLTnhDeiPnZylk6vZ16oy40pHHmPhdVGC9+twwmsA+FkQtk9Ucp6/IirbN13QdLV/tRvbw/q7UuwLtFsKVlZVYu3YtlixZgq1bt4IxhiFDhuDKK69sd+bFxcUoLi5uNdzEiRNRV1eH1atXY9y4cQCAVatWoa6uDpMmTWp3vucCNBgACQaARBK8pSFaC6qByTCWxvCOniPEUYfONLjlcKZWGACQhNxBHSZDFSLUSoMoFAeV0wivHGQSsF50ykOVH9Ai03DyUTtHmSFDgmeqimGJ1oG8z9Z9qIhcKv5d29qkdbUJGE7j+NIIQaxnWXC2VsdWX6Ou/FRlMxkVX6+wf2dSedTMU2wZXolROb6503QLCCe8KDod4So7k4n1wyuYBMB4LYaVehhizTCBcq/xx+dhPcvjOmyHUPcLIvzPXDVmpX6j1gjn4B8mfOPp5mmzUuTz4muNz9u6IEW9qKMeD+52dZ4oRGVONUZFRcChn8+DV+R5GnKh4wYthn9LRSUaMnslmIEJ4rsPXrhC2MJVV12Fq666qiNp8cTgwYMxZ84c3HfffXj++ecBAPfffz/mz58vOGUNGjQITz31FK6//noAwKlTp7Bv3z576nzbtm0AgLKyMpSVlXU63aGybojvO2oPfK/j9mQNlYBhutaMD/VsOB3T3YGH0USaSXulb32BnY5GgCSTv5oDxFnrUjE+K5z1zn30iEoLV2mkMjv3Yu8ygxYZnLfwhxCKoTtJcUKiNc3cXQYr7V4kib0s6Iph1b0jtERa3DnzFpiagTAAQ0gCG+D2vzDzac3ic3J26HPTBteTnBcPpyREesPTpo4vM2HxRqZMULU4hXhVCd9XvJZrVGKwmsbTQljVP+QeqqZN1XYWhpIE1iDMfWldkXHzBIZsItcXr3Q4dKsVBUcJo8K6q6WkOEq6Y807FMm8xaKvH01ijR5W1INscIiCWFaK+Phqwa7gbwQIEFHpzayMimAZjhQ+12jzmvAHH3yAIUOGKL2F6+rqMHToUHzyyScdShyPV155BTU1NZg1axZmzZqFYcOG4aWXXhLCbNu2DXV1dfbzW2+9hZEjR+Lqq68GANx6660YOXIk/vVf/7XT6ORh1Dekb1AC+EEqCyXXGiIhuIym3O8FMARhIF92PoCjkY+hcUU8RX52HPUgFp9FASeXBwDG0BhnUfMCQRycKlQQfq3GCRMiTkzeGipNh3cGvLO/1KJVy3CzlEpz9hIME2jMbi9VHFX9yWnKa2gUwCSqPsM2JOwt9m6HtuSnXvcV69KB6lkF0VnKyydApsmhv7U8vNJ0mLpXX3Knb76rlNZU3bQ79iDvx+7dRzJbXkECfEtrkMruCD1A7A9iebi2YypanPqvJAlXWzp9wJxeJuljQuV8xDENwWdCFmy88BxG4i5BWUNjynpw8rXGpldfdDBXa0YOGK7S3OPDoovfAgq421wJxhDu1flGWFvRZkv4ueeew3333Yf8/HzXt2g0im9/+9v4xS9+gcsvv7xDCbTQrVu3VtecZe1m0aJFWLRoUafQ0xawljgokxmau1MrGQlTacVua8/sgBos64r/1g1JANL6NrMuOpBtKIYKquOQEeDeZu7QvGXFM4ZRNIZRNIYXUlFXPrKGL9tnms0sRK15JI1jlZ7lSqsPSeIYM8vvXGsoWl1ZHjXOv5Mn1mVrEmAISenIdgnPuMpJEodYgPvObKYu7txlGEyT2MRCqGPOTkYCU9NvTdAyxW/+OwDcGmjAn1N5No2O1a7WwWWrxk0FX1pnClZ86/wrChpxJd55b1k6Yl7ie7XV49h57naQ35URHfvT7XKl1iwwbTlNSxDLVpt7VIg1JM4SMVDiDuuevhfLJtqOAElbffzVnTzd07VmvJzKF955pW/R6Hx1C2W+zolQw9xYJaJCIPIBNbzrUER3kkIPouO2QGM6dMSVtlxGdYsDTvukFYBgEJGafq1QcO7QZkv4yy+/xJw5czy/z5o1C2vWrOkQoi4aEMfjtnULyUE2M6TOzYdxrLweJAnKDYSpaY3RrdWKacgDTj2AeLq9hwyv3QJANme9mfmLWwUyWdZZYCgguof3sluZIWDQoIM/jYhIaQJAJEP9i2UQcV+gDtdr9XZcSrxOLXPHH0njmKc12c/OVL/IHKigxctKiigMZZrF1My0ehP37Ecu19YhwnBDoCH9bCBCdGWdWXUSJO68rfyscN/U6nFLup7kUk7QYuhP+G06fDuprHNvq/tmrR5OjYjpyX2fjyfmw+y/bBgAcwtQr3ScMDyccXNDoAFjtZgQ3m1hqyxAb0teHruDhPZ1vkUyKGxe1qGTh5iW840fV+IMkzsGwLetVwg+nDyme1FnF0M2GEAAkvZqViTB0eqkx+dtbVOyeGAwnVaovBA07F7m6Sq0WQgfPXpUuT/YQiAQ6NRjKy80pI6eBGIxWNo0IDJO609mutNoM/LTFxDPoM2u6WaeeZVQ0c2+L0lA1fFlBmtN47hscsYzIHlQO2F7khS6ETFvK47qYBI3PbJlauY1kTZDE8rqZdu15a2ch8gQRQbgZgqWgM/mnnlh7WYiom1BwFCRFnCqtXYrrRzCQNNnZnmVRVac1G3MMJG2YI7W5CHcTJSRFIqJjnlaE2poPL2PVSVgzHd3avUZ6cqBgQhhyCO8FWXicq0Zw2gMMwItCIHfquZOR5U3/4sAKCCGMu5srRlVSCpLLAozi7FbfU5m3s4WKD6tKnuLm7tP8e+KiGHvnVUJdhVamz6V08ki3n2Ah6wMqdpvpMcyiJy3o1Cz9F9aINsk8GOjbfTx6VphZ8nTzsxS4B2FQOgbzFFS+pMEly5zKfJ8nsbBozDiCcXXrkGbhXCPHj2wceNGz+8bNmxAeXl5hxB1MaB5xZc2Q3J0d3EwzA80Cs+FRMcAmoS1qbwfTeIW22oRYTIkkXkGCVBCVPvfRA3W+d+LWfMuV+JaVS+axJxAEwKKeBEYuEJrloSRTIdDg/jnNWMgCz0rXUM4NMFb8DMEiIEraaOk+Vvx1AJIFLpOC96s1eNy2gyeYVPJEhfT9rYke9IUZmrNoISfsXCEfgCiX4BZXjczksviCH63MLO+96QpTNRiiGZYLx9J49DAUJJeR82sKDBUUjFcj7TwIgCoy1LjFSO+3Kq05RI4KfSjSfSiKRDi3Z/5PpabLq+pLFrWndnb+aleXplwrG7rSS1gGAOKufF3Z6Ce69fe69tuJUsNS6GXrfUswe/E/JYDty/KDQHen4dhHG1pNV8CUcBZoDAQQNKjTJlmntQKqWMEsHT6XLsRp/0sJYBAF+oh02yjXB7oOmLrtrQh9LlBm4XwvHnz8LOf/QyxmHvhvaWlBU888QTmz5/focRdyIhv2wPe4iLCb3OAhLmO+M1AA663py9lhgzwnZcAmKuZQkUWhlOpc0i5KBAcWDF6kyRyXFaY2kELACpoCpM9tOeeJIlvag22o5SZnplTP9pWrbMtTEjHJNrocWqROz2LhiAR69I9cMUB7UVeIdExiMaRJVk8MrO1zpDJZOnM05oQTTPQSvs0JCZM4cvxeebECzICIJ8Y4M+usS0Xogvp8Cn2RULZ1gAwknOyUU3TyiWbRZqwKFCPeVojrtCakU/kEG1rMwoDc2kd1z68EHMUpNE0jgkk3R8ZH5a/NEXc0NYvPTXOC9YZtNFVz4L1zJU9SBjma022okO5vAgxreGrtUbcHGgQrFZeEWhffVhBmV0WMR2GYiL6iXuN30IYGKXFICqGmYXXIJJIK50CMemczPJrHpcnEAAaGEZIzloqpUOkmSFYUoDiRdeYT4pq0oip2DnxMytyMmLrtrYh1LlBm4XwT37yE5w6dQoDBgzA//2//xf/9V//hbfeegs///nPMXDgQJw6dQo//vGPO5PWCwu6xaQZuiPJMX2RcVoIw7AdOOROyqTncpKyp/+m02ZEiY7ptNnVW+UpKVmoZxEdg6hjrRQT0fLi6YjAwNVaM3JhgDD1wCUc/eopThPVNIabtDpuPdccxFSKx5eEMMe7szCjtzNPeybLw+1Vzn+/Xavjwjp0ACbzvVVryJg3ZTqyinMVwkud51gawxTNsUzawk7keu4F9f2otuCmQKB7NycWY6CEoZCkIFt4ATDuwHsrP5HR8bRa1m4QBiqIjj40ZfZwJvZhUUCKJbxBq7fri8IRcrbCJVQHw2itBVnUnB2Qb6lyZgLEWrJ8KHhLtz+3FslblaI/hfl/iDGU05Q0+5EWkGljrpzoiBLDHo7uGRvRMmbSN68+Igs463kabYIjTC2FwBpXXNkBjCQxDKExXMn5K/Bp83lcrTXicq0ZGgEm2FPF6rbjy8LX7V1aLcYQb49pK2RNelnEsnwD+TnQCt1OwBZ6kaRHfXjzBt7oMZpkxaLr0Gbv6NLSUixfvhzf+c538Pjjj9ueyIQQzJ49G7/97W87/PSqCxmBiu5I7DkEU9gxTKLNWG5kc52Ud63nBjphACMI9i6Dvu9wet3DBJFCA0ARNXAzcQSCenpVfJ5OG7GNhTGetuArI2J/H0VaEKIGepEU6pmGJUYOANP6m02bQJjoKRvqXY7U8VoYzdwgI2nGS71O6WGYQpvsdE+lPVVVVp+V0ygasw89AIAIkQeaW91w14FogTgCRLTtgoRhDIkhN63kZIOhR3rA817WYZeVx6drMl7jZC2AQkW4dGhLthAgQIDBJIFPddkLVCWIHeFifc2BjlZPcDUYci8fhcK8ETj96jtAKiVYaEy4FoAI1qKFeVojDrAANhlhu5wWRQ49LG2ZGqbkT7/iFVDzlViGYuLMyhQpfA4soSf2KTMv1TY0a98rT5k7TXHMXEGb8Y6eK4w5WRBT5qaNwarDdA3YSTJQKioEfJr8IRkihXLtp+tUKgYBkEPkfeMGrtQasVjPgwYDzZzXvUYYLrcEKnPGpGVBW2TfH6yzHwgxtyMNo3Gs0cNYazi7FHg6VEZDiDAAOvhW41uEwPSEnmg71jGAAYHuhdAK8qBFc6HXNdpx+9AEptIW1/gjAO7QTuPf9ShkL/sodEzRuDiEgBZ4C/hzjXYd1tG7d2+8++67qK2txc6dO8EYQ//+/VFY6M1oLlVkjx+GxJ4DNuMICYMEaYtORyVNIAR+aoUhWByFBkDPdDY2Y7bpack9J2UTtFs+AoECsFgCxmnLwYZhIE1gIBLp6A6DCFGGkSwGgJhMMC2ER5A48olj2QME4f69EKooR6hXGZJHT0E7dQKaFoRWmI/s0UPAYi3AG+tgDblxWgyr9SxMTE9tiRamA9V0XQimhWWhu33vkEm7RRN/ahJfF4QAJRwjcMQLScd3Ytyp1UPjhjEhwNXcMoEaHut9jP/BH3DhlQ4f2vyHEAbGnJpaqNXiJb3AFafApZi4QTQKECDcrxKF37oedf/ffziKAEyL0lYjiNOveEWmF4mjisSxyT4khiGIFFhZKYxjtWCG5TxlWpIGnCND3S3uFjQLtTokQJCjVHLMMMIZw8xcn5QP7ggQhsEkjo2Gc1CGvCWLz30abUYtNFSQJApIyrVdzBGwTLkUQsHS24gApNuLZGcha2hfJL7YKAg73toV7XT3TVwWpUEY0jg3kZu2eClz1rcJzK1Yi7TT+NzIwloWAV/PsiLDg//GOFItNjScxpACUKVYJzbryWl/a/xY9WNINFhwtu6l/ygBO1WL2PotYPWN4EHgpQCbyshNWh3+Q48K5SshOnrw+8MZQ2TMUI8aOPc4oxOzCgsLMXbs2I6m5aJCaFAfBLsXQD9eq+zw/WgClJhTPgIIQahvD8RXb4D3agHHGSkBDLPjgjEECvOQFe0BEgygcHJ/ZO08DZZKIbZ2M4zmuJWFDcFz1zRgwZjDcADisjxzpo9BVk4ZUBcDNA3Biu7IremN7qN62mFSJ2oBrLMZ2Agaw0DEkKPwcOXLJTIlwBFenIVPnLDFJAkgKx3SCTeatmCNkW3HySIMdwXqscMIYAVn/Tv5EhBiTs9agkclNvg412n1OMCCOMQ0HGYBJXPzesfTSwvyYZxuUHxnuEmrx+vpo/kAhpz0+q6o0qWVgFZMYZrtlJukkuDXUQHRcqQAAtbWkFAQiIuOc6KlCJAjR5E3fwZCQ/ohse8w9BOn0PL+ijTz9VK4eMFk/ptFGCJpGhZoDXhLzxPCW3Gm2Xt83ev6gLm8M1lrsi12E+ZB/iQ7C1peDsgJp84H0oSt+dxI67GbhbAsrYSGLIGSXv90qllsBQ26+YZqCFX3R/51V6L548+RUApcdz+QLUSAgQQCoLnZIA2nQBmD7uIJ6XVpwteno8SJ+YqzFjz9fDsUCAfgpEOmu1eAmEd9krQ2cK1Wj81GGDuYWc+FREcFSeAQCyIqzWaIsyai8mU6IaYVK4MhteNrNO3cBMr1cUEdZKaCSsJBsLiz3Ffo8h4n3Np8Oq/yEmRVnx9HVgJncWylj8wghIDVN4CfouIxgXisSWgUMKwj6lha83ULJcIMBHuWgXQrhH7qNGgoCBprQuOhk0gdN5ln47b1iBl5XFy3UK+mcWxjIVxGkgBxBhsYwxW0CScRQM/0ADGZgobcGeOA1fsylj9QXGgKlzrLu5shQsShJx9+4Ya3NXSTVodapqGCpDhB5wzvy2gSawxx4IahYxhNYbMRRl16xdOKW0h0XJ52uDGXBNI1LZgf4mH+JcRACWnBWMLwfJKfDRLbW6RPZD45M8chZ+oYpI6cQOp4LULL9yG537yekzCGQlgexyx9ghbh0nTqp5ykbDoDhCHFWc+WUw+N5tivWlast4U5PyvBKwC2NZ5MQCssglF7OoNSAjR/tBrh0UORNbgvEjs1tKTT0wAMpnF8aWShkiRRzyjqoKGcJHE4fQyoaoyUER39SAI7Wch+N0drxFEWwEDiOJSJ8xrmm4AiRZMWA4FueQj17QXKTgOnTwEG4xIyD9cIcSbnBNqMnXpQSs+dvnVeMoOBQLd8pA4dRcsnn0vdWBSBojLjCBBq5ZBKgp2uAzSLfl2Iac0GOLNaIlVRToGmcPiKnSmXv9WfcoizJxiEIWviSMRXfAkVyoiOUq0ZQxDHQRbEIJJAHy2JzSyMgSSujMMrI4yQ9HS9BIOZ3ldwPMJNVsgAZkBLKx8kHrOpl5firL4wkoh7t6M3zwYJyB4PXQdfCHcmks6WjVLpuLzsNKN3vJkIoFFEb70aseVrYVtnrsGeZqgAAqVFyFswEyyRRP3vXjXXIJnaeiawDs5gwlpkFmG4Xat3tGbu/340gX7gpp0oQWTU4DYXPzSgN2LrtwJ6QmIyJqbRZiw1cnCCabA8LW3NPk21xdYCUi0UUx1F0GHYwoahkOioZYrBxZyUCNJnzjLRArs5UCfUNKEE+Xdeh+T2r5HYfQAgQKhvJfTT9Uh8tdNmWoSrTyHDNMbQZqwxsuAc25K2NLMjKLjlGoT79QIAGIeOIPbeJ9Abc226rHqwpvgCCkZzS6AOB1gQAxG334aZgZTtVuUoJoEy57KU1F7nKlKVqiOcCMAYaHYYrFYRkA/W0AT98HEEepRC61YgfBtLWtBTS6IMKcRAsJWFMYTE8ZIetemj3aIwTtUpRIlDaS+aRC/78AanbLLyMEueYbLDMxgHjyLR1IJwv1IEQgSpIyfSCTC7Mvg64afGzfGRaTYnrSD3643Gf38LxDCEfjWAxFFMUlhh5Chiyi3B28bWuGcIQ4flS0+4dWJHuIkLLhZMx089HYq6xqMVthQp4fS5nBGDEOnXG/V/WQqj0dyexyCef1AKHaXE9EuIgGG05Ix1R+A0XkkVCOUiMMcZMQzbdcBdfmeMEjBkwUCA83+wymydtMe7E1rliRBn+SrQvQhatyjOJ/hCuBNBu0VhnDwNxpigkQpgDFr3QoRrBiIyaghoXg5iqy2t0+yE42gLTjANu22LwOxeWSNNgRhf9xWME6dapccalBQGGNfrvWYxhfeEAMEAIhNHtppPat8hxD5ZhcSWBlAG0CCA9I1SnIqKKDHwDa0Bv0sPTkIAjTlertYQpDDSa5FBFFnTsRKnJgAup83YxUIYROMIpxmlyS4kC8AGQ2+aTF+WLioJWWNrEO7TA+E+PcQYuoGm/Fy0rPoSxBDXvXhkpxWKsbYQltaNm5tgfL0f6NcL8XVfofnt97myiIJWvZ5qooAYKCBxjn8z23KwQAmgFUZBc03Gr9fWg7W02OyNT3mO1ohVRgQzJO9ZucL7kAT2sBCGS9tPWFrx1LpFEazqgeTeQ2YfJ0DPtPDMBcMY0gIKXVgOCeWGEZ49D7GNO5DYtMOsWPvmIBlpejRi70SwMIU2Cft1rfB2XTIGo7YOqXX7QaiO3JkTYegMxukG6LV1plBOEMHRVhgKKnKkb6kdX4O1xFy0R4iBYTTuEsIEDENIDJuZ2+mJDwMAd2qn8W96ITgTWMif2X1NTalpZRv2COHDjdeaMdQ+4cysM5qTjUBpMYr+4S4kduxF8thJJLZ/DX3/YaHMtg+BIttcwnB/oBa/SxUIa+pM15Vkyq+m0yZsZWGMc22XSoe1I1jT7kT8nv6lFfIzg+cHfCHcicgaOwzNiz8G4LYCrXdZk0Yid7Z43nZoUF8ktu1JP7H0fk2G51OFtuZHo7kI9DQPIU+s+6pddJmMKC2I+elWAiAcRqCoAKmDR2HvkjcYaH4O8m6e56lFWkkktuxE8+t/S780t8NQPYUgiYGUFiFYMxjNS1fwMQFB6CimEQkQoMBs0ii8c3R+E4VEF/Y0ztSaEIQ5vWjf9CqZrXO0JkfApDlIoGcpcmZNUdedRpE7Zwqyp45BbMM2tHz6OdDo5DmQxFFJkigg4mECKsQ+/RzBYYPRsvRTMQ/pf/lbCUnhGAuinCTFD5wg5qc2gxXdEaq8zAxGCFhjkx2JAKhACrXQECSmUtKbSludAhq0bgXQDx2zX11Jm3AaMRSCE3aEQCsutB9z5k1H3e//AyyRdKZ80zRpcB8qYxw4jJbX30bOwhuQe+VExDftQGhfA4IJCuN0A0id6F+hFeQi78Y5aF62Gqmd+zzrjJ86lmeVCDOQ+HA58r59B7Sy7vaXumONCP7XaiS/PgTp8OeMQhgAQAmS23aZOwQMlj4/XqTDfHIsuXu1kwgQYHNKJYSdMUKAtMexZbwzl+QjingWXZYtYCq3lueHY3EPp3Gn3xKCYJ9K0FzTt4JoFOFBfRAe1AeYOgapYyfR8Nf3oR80b4pr7WIi+YAdFXrRBPYZIQyl1jSzCcuZ1EMjM/mGy3ONCf8TwkCD55/IO/8ouoiQNboaic07kNp/BMxwC5usCSNcAhgAwtUD0PzBShgN5tSP6RCi29swNOgIFuTBOHUaWlEhjEbHaolw6jvPO4qIjpNMw2XEmRpmTIfWpzeMxmaQYAChIf2QNXIIaE4EqaMnkNixF0jpCPQoQfCyXiA087ZyFk+g+S+L1aORMbDjJ4HmJmSNH4bYqg2OU5kTSNqbarEpaxA5r20GRoAFgQakmHl+Lo/+VD7KzpmWslO1aE0zMlqQj/xv3Wh6EmcAzc5C9oThCBRF0fDKW/b7Cpoy19chHtqhBCGIfbwSrCnz8YFOGUzMoQ3YwcKuk4xoNAcaMUBPGMJmIxw6iFRjBMHB5qH1JC+HY74E42kTokxHlSx80whU9YRWVAASDgOGyegoAbrxgpQShAZdZjNsAAiUdEP0vpvRvHQFEtt224LYEsCuukmvXbe8tQR5j3wL2ZePRtbGwwgeaQB6lqFw9BQktn8NlkohUNYdwb6VIJQg7xtXIf7CfwLH4Ep3JG3BOsWWGrliY6vWIefaWQ4pTc3Q8nJAB1Yhq1gHWXMULOascd4VqEUCBK/aU6xigsxw+i4hwGjajB1GGMMJfwCKOV5v0k4jKBn8+US3PbTlaeW2gD/YxEpZi4RBwkEYp+rsdKtoAl8b1gwb5/lNAFCK7CsmeuYRKClC4f03w2hoQmLHXrBkErS4ECyRgHGqDlpBPhI79iK+fgu8tpHJ5ZpLGxGjRLp0hVcw1ELY3NJmCmJLsRlM4hjMKxWUgOSrlgG6Fr4Q7kSQYAD5C69Hy8erEft8I6ztvCQ7grz5YxAerl5fJaEgootuQP2f/gpWVweN2/hvwdh/CE0vvIqc+28HzcuFnrbGIoRhNm1AgAA9kEQFSaIbdIymLdjPgugjnLEK5F49DVpxNxcNgdJiBEqLXe8zIbFpmznl7AXGkFi7CdF/egBZI4cgtuYr04t6h+OlWkNj2M3COMU0W1D0k8/EJqK1WJ52KhMhWy9pBkPArXfxg5pAKylC/sJrQVsRwDyCl/VG8LJewLZGW6B7T8uJlhBhOoxTp4UQvWkSe40genNW7kzaiJVGNman1zlzCMMIEksrEWYYGgmDNtWbU7OkML0O7sA4VYvExm1A2ThoBfkI9KpAct9hAAxBAtSQOGxzhiM8NKQ/QpV9gcYEQkMuA7YcNx0HecuWEtDcHGTPneqqn0BxIfJvnQejuQVGQzOM+no0v/JX7wplgFFbB33vQQSqegqftG5RRCYMF94Z9Q1o+fPboCePgaK7y9acqDWCwcCXhrhNR0yEIbXdnHkympoRe2cpmr/ai2T6ViJj/2loBf2ROuII4UjaiztMDMRlPwzDQKBnGRLHnSWicVoLxipOm+tOUmlHKBHZYKjjnmXKh5IYvmJZGJc+qEOWTdZ55Jp9ohVAmxthNDGAU3X7kzi+RggyaGEBcq+9EoEerZ/9QPNykDVqiPJbeGh/ZE0Yjub//gjs6/3cF9X6N7HXlAFJl+cHFffhhkAdDrEgBttOYAzfCNThNNMEJRwAYDCER6jp7Eq0ndv4OCOQYADZV0xC4T/ei6zxw5E1cQSyxtV4CmALWnEhog/cBi2YXrlTWA0sHkfsvY8RHiXueetDk6hM37C0QGvAFK0ZEcIwgCYQ5BZwtJ5lSgHcZug6jOMnYRw+CuPkKejHTgAKazmL14DjCbDGJgTKuyN3/nQULLoeJD/XLBLMPYA3Bxz2c2OgDtncOdkkKws5180yGbS1T1rIjQCa7JzFoAVEbdq5IcY6KlJH7g1Xgua1T1MmlCDv1vnQyrsLUw9EMl+U0+xgYEePCe+uoI2YSRtxBXWm3gfSBBZqp9NHgsrrxeZfIDfLtTYqgAGsrh7G8RMAgOzZl4NohNuHzoRZAa28BPmLbkDuTXPsGRAazUP0/lsRGtLPKWsoiKyxwxD99q3Q0u2oAs2OIFBaBKTEaeiitMNiliSI9No6tAYWT6Dp316HfuiIrVDR9M1ISM8eubdzwRZ6RfztPLoOFouj+d9eQ2rLTlFGJFMwjhwHzWnForYQ0BC5crLZr4nYJ9xWrSiMStLK1yDFKVN8vCm0GQu1UxhE4/Yxp3yahClUDmlLmpymFTdUMxAFDy9EsHeFZxHbg2BZd4TKral+Z6ub9ZeLVHrmXKwLQoBAnx7IvXkuQjUDEBzUF6GR1QIvLCE6RtCYMOvXnaTcAhhAaOQQBLglh/MFviV8jkACGkikjYM4jdT2XS6mJYAxpLbtQtac6aClG2EcO9n6wgxg9m5KkT13ervocbJlSO3YjcTW/YBh0pfYnkQyNyHkf5VmTpuOkS2AAHfPrsEQKC1Gsp6/+NxJQwNv9TJkz5uG8LBBCA/tj+b3PkF87VeAnj5piVKEagYiZ+40GE0tSO0/DBACkhNBy8tviFWQzkezF8kI9F17ESgraXd9kGAAoQF9wPr0RHYUyC0MI1BRipZly5HcsNVzCo0AYLoBBIKArgPMXO8boCXclo29ri2lkZeDyNQxiL/7QRsIJUjtPwRgOAI9y5B31w1oevsDGJzFRiJZiFwxCVlja5RJBEqLkHfTXLBUCiyRBAmHW526F0jIEu+3nqM1YL0RQY3UR0hWGIyZp44ZR04CmgYW6y3ET27YAlZ72pUHhWGuwxJIfcp8ukOrhQFICmk5El98ac5MeI2hpmYE+1WCxgIwjp5QFM600nKuvQpaTjby7rgWDX98E6yZK5tGAJ2B5uXAaG4BDNEx7hpaj9PQUAwDy+T0wyFzpintEZ3DCTNr2comRV0CZylK05RKW2hof+R9Y7ZH7DODfuwk4p+vhzwTZCE7vX/bsA5YJQS0qABZ44YjPKoaJKAhPNTZ19tEgcQa92VCzsKVG+EJI5A9q3Puuj9b+EL4PIZRW2daloY4WAp5z0/GgJYY8hbdiOa/fYDk5h2SE4wbWo9SZM+dbjt2tReJDz5LWwv8pfUAicXAn0rk2uJECLSKUtDcbFOQf/ElEp+sgn4yDALiMAgQ9KNxxEDTjj9pBhrUEKoZaCYVDCDn6hmIzJyE1MEjAGMIVJSA5phrklpWGFpRAQBAP3RUoH88bca7ej6qec9ekhaIZwESDCLYpxThCtN5LXL5WCS/2p45DhhoKgGDBGDtT/YMS0zHMq2iBOGxw6AV5CFQ1RP6voPgd2SWkSR2sbA7AcZgxJ1p7mDvHoh+95vQDx6FXlsHGslCoKqnsIfSOHYCqc3bkDrdAgQ0pPoEofWtAgkEQALtZx+BXj1AciL2Ong+MTBV9sQOBUEjYTT/5g+IHUkglS5L467VCE0eg9D0ySCUIPnlZnU9QZx5kBm/RiD6HjCG8PiRiL27NLMSSwA0x1Dw3Tugn65HbMU6YNUBIGn2m0CfnohcPg7BPuY0eqC0GNGH70Ri/WYkNu8ESyShlXVH1thhCG+pBwwDkSADVn4AxE1fjSDhT4RLg1JEZk5E7sAqNP7hDbBEQjnGu5MUTrCAObtgTVQoOhQFg9anBwIDL4O2YjNIvWkgBPtWIu/6kd7lPwMwxtDy57dAUrpASRS6vVffpAmm70uPUuTed3vGNLOvngGSFUZ81TrRSMnOAkkkgZRuK6xaeSlyvzH77Gb8Ohm+ED6PQSJZAlP4RuA0dhhuy5JEskAjWci9aR6M+kakDh6B0dQC48Qp6EdOgBEgUFYCrbIMgZKis+qQRkMTEp+uAoPCS5oxU5B46eGMIWvaeABAYunHSH66Ov2hO6zpUEurv1La50kIQ6hmkOsYTxoJI9Svd0aaaVGhuUUqvX2mN03ibnJKZFAGg9bjzJQSL2jF3RC5fCzw3jaHFsJgMAJNuAEGyJoyBsnte6BbFhYBaEkxgv16Qz9wBEZTM2hhFOHR1QgO7Cs4yZFs8QSwqbQJURjIIzp6IgHCuFuUjh5DfNlnCE0aCxIOgRCCQM8yl0LGGDPb6LPV0I1CGHrAdGB6+T9BK3sgcvsN7Z7ZAQCiUWTNnIyWt5d6hgmPqjZnLlI6AG6KO5VC4qOVYPEEsubOFCxMXqhmQbxNqiB9JrW151zun+HJYxDsX4WWBqfP5aquBGUAS98ipxXkI2fuNGSFd4C0xEEoRf5c93ojjWQha+IoZE0cJX7YUg9QCq0wBznfmIum194y1/EFT2oGolFovSsQHlONQG428h64HfHlaxH/cgsQFw/DmEfrsZllYQg3ld2bJDCAxtGdP6eAENBQCFljhyOnsATBZV8B8TjY0ePQjxyDdgazQV7Q9x60t08K/hAKs5UAMA4dBUsmQTLcXU8oRfZVU5A1ZQxSu/aBJZPQunczx28iidTeg2C6Dq2sO7RCBZ86z+AL4fMYwSH9Efv7R/ZzCdFRonH75AigVZQJh5HT/FyE8vt1Gk2pr7Z5WmsEAGWGOa2UnvJ2XJkJIvNmIDigL/SjxzkB7MQFkJ5qU+3pJQiPPzMtnYRDCI2sRuLzL22lRjh/Nu0VHejT64zSzwSttBiAI4Sv1+qwQs/BRMn6C1SUIHLFZOjHTsJoaALNy4FWUtSmPGj3ItCSInM5AuYBLOM181YtKnuk6jqSH62AvnUHIt+6zTU9bCH1+XokP0u3EX+iFADjwCHE3nwHkTu+0Sb6ZIRH14Alkoi9/6kpaK3ZHkqRNXU8jMNHzPceVmly5VqEJo4GLSq0p4/5NcGQfRCO+TyYxNBEqX2/se1tH81H9ryZCA7saz5nR+yzirsTHdO1Bvv+YTOA2ZcEEAIScjs2eYE1NiH5xXokV+83lYqCMMjMauQsuhHxj1YjtetraNBBSbrtDAZj9140/3I9gtfORmDYUGRfPQPZV8+AkdLR+MsXwNJOmTmEYax9taNJLyXAFfLBJYxBG3QZEss+RWzZFzCMAvtT7F/XQxs6COHr553RTIcM/WB6SYiJiylB7klQEAwDLBbPKIQt0EgWQtUDxJfhEIID+pwl1ecWvhA+j0Hz8xAaOxyJ1evVARiQNXPyOaWJNTap3H7RI+11TWCuyYWvnQv98DEgkQTt3g2h4UPs7SuptRvt7Uk87DUt3kM3fWBD9jfmpQXamSHriinQ9x+GfuSoqEQQAoRDyL5lgXn+9llClhuBqkqhrKUkhes4xzMzkGYrAFpJUZuFrwVCCLKumormV/4iEOKcuOUm0jh6AokPP0N4zkx3GQwDiU9XemfIGPQdu2EcPwnavX20WsiaOArhkUOR+Go7jPpG0NxsBIcOAKEUjU//upVpYYLkhi0IjhmG1PbdGeiEqagS8xAKGTm3LRCsvuDIaiQ+XmXnPYRKxy4yU+kV3xlAMqlwBnTDOHYCLS++CsRiQMLsy8aJZsTfeBvawH7IueNaxP/jLehbd3Dpp+shpSP+5jtgVEOwehAAgAY0ZM2aipY3F2csv4C0wkmam5D8aDmAkKuu9c3bkAiHEF4wp9UytQoqnmA1i9bjC5aNK2gDGICjLIBB/PGWGgXJav8My4WMC8Y7ura2FgsXLkQ0GkU0GsXChQtx+vRpz/DJZBI//OEPUVNTg5ycHFRUVODOO+/EoUOHPOOcj8iaPR2h8SMdoZQWFCQrjOyb5yNwWeap2I4Gyc91rVFPo40YSZypQQIgOKAPsufNQPZ1s5A1eYywf9Q4eUq5ppVNnMvsAQatsgLhKWOR98jdCA4d4ArfLrrDIeR862ZkzZpuTk9rFCQ7gtCEUch7YKFwUENHwTh8FPH/NI8uzLTYGxo30tMibSuC/fsg+5YFQHpqmvdAVYIxJNdstE+4Eug+ftJ1e40LhJiOg2cBkhVGeHQNIjMmIjx2OGh2BKylRRAKwoEkXN6ssRmB/n0RGOwx62Nqg0qFEYQgMHSAa9o1NG4kSG6O63AOKz1akA+aPozEqG9A4m/vIfnhZ0h+thrJT1Yi/sbbMI6fVJLDDIbYq2+YAlhxoIS+fScSf18mCmAFEn99Fyzp1Elo+BBErp/t7j+hIBBMC0BK7V0LtKgQ2Qu/gdSnq7wzYQypdRth1Hvfmd1WBPr1FsrbjyZwq3Ya3YiOIqJjCI07TUQJAjWDQc7DAzU6ExdMaW+//XYcOHAAixebWt/999+PhQsX4u2331aGb25uxtq1a/HTn/4Uw4cPR21tLb7//e9jwYIF+OKLL84l6WcFolFE5s5AeMo4JLfuBIvFQQujCA66rEOmi9qLYPUgxBcvA+87MlRwcCLQ+ve1HaRUIFlZticpAFxF63ECAVSCOz4yFETuPbd2KO0kFER44iiE5fW5ToC+7wDif3wN0A0QdAfsCfa0eZIuf2DYYISv6BivzeDgfsgf0AepnXuR+Gw12L4DLiuHP8wFiYR5yUhRoUS8uB46mjbjv/UoBkiObHK4jgDJzhZmDoaSGDQKVPDCmDHQ/FwQShC5aT5i738KffUa0FR6P6wGBEcPR2DoAMT+uhisrsHpb4QgOGIosq6+wpU3zclGzt23ouUv/w1930GOKGKuzw/oC0IIjNN1iL3wEtDcDOhFAKg5O7BpC/QtOxD+1m3QepQLaeu79oBl2nbFgNS6Da1XUCqF5OfrEJo0zn4VGjEUweqBSO382l7KCPSrAnQDyY1bkTp0FESjCPTvg0C/PjAOHeFOTfOix5ztoKOHZw7XCrTuRdD6V0HfubfV2Q2EQsiaNuGs8rsQcUEI4S1btmDx4sVYuXIlxo83HXteeOEFTJw4Edu2bcPAgQNdcaLRKJYsWSK8+3//7/9h3Lhx2LdvH3r16vj1v84EzctBeOzZDYiOAEskoHXvBhx0W1Dmxr4Awleqj3y0EKgZhNTGLfbzABrHAN6/lxIEh51/m+rbApPXMyT++q65BcQ6wMNytLG2zuREELn9G9AqWj8MoV35axqCA/vCOHgIyf0HbAN8Dq3DZhbBeCoxX4UiR4u6me9TZhv3pQl8i5ywD1EAYB5lWt6xtAPmjEVg6EDT98Aw13qHKPbMBtL9gx05BqxbBy2VsNUcaujA2rUgVT2Q+737oO/eC/3YCZBgEIGBfUHzvc8PpoVR5Nx9K/SjJ8z1TEoR6NsbwVXODFrib+8BTeaau7DpxmAASyHxxt+Q9fC9ghOhse+gcqeDYHNLsxIaYdCZ2ypPbdwiCGEAIIEAgoOkWYEAEBozzH0UR1J9oE4/fvqdEM9w7UX2DfPQ9NIbMKRdCjy0nuXIunYWqHTxx6WAC0IIr1ixAtFo1BbAADBhwgREo1EsX75cKYRVqKurAyEEBQUFnUTpxQ2j9jTiL/wJpKUFBIWu76QwisjNC6CVZp7a1fr3Ba0ohXH4mFs7Tgvy4MQxHUn6OQNjgLH/INjJWuV3LX3JPRoaOnXaLTCoP5IfOWd0X0YTuEzaLkZLiu2DUniQcAiBEdVIrXEc2bIlRzaSnwvtsqpOoT08Y7K51pveEysjNHUCaH4uWEsM8Zf+7PISNhvBQPKNt0CLChHoV2Vahu2AVlqs9EEwYjEYOzKtQzOwk6dg7DsArXel816SpVO0Rqw3sjGFek/7f1M7hT+mzDV3jVeAWtxKSXtAirsJM1EWrqL1zgNjoN3P3AdDyC87gpx7b0dq+y4kN2wFa24GKciHVtodJD8PWklxu/0gLiZcEEL4yJEjKClxu82XlJTgyJEjbUojFovhRz/6EW6//Xbk5+d7hovH44hzg7q+vt4z7KWG5JIPgVhLeiuRdTgASR+Rx0CaG+w1s0wglCKy8Ca0vP4WjD37bOcrGAZIbg6ybr3WXLe9QMGkG60CYEiBoJt0naVx8tQZOza1Bq2iFFrfXtD37FdPAzKG0LSJri1fFsJXToWx76B5whYfn5pKUtbN17Z6lviZghYVIvve2xF7e4lpQVqIZCE8bSKCE8zlBH39RnON1QuEILnyC4Svn99xxDWKDl75RMdJ5majxtETghDW+vRC8mNHKRpOWzBcPsQmNwdoarJnL3KJgQXaaVBwB4vAVHbPBjQvF9rAftC37RTfc4eXkGg+aJ+O8zchGkVwcH8EB/dvPfAlhi4Vwk8++ST+5//8nxnDfP755wCgZBYsvZ2lNSSTSdx6660wDAO//e1vM4Z96qmnWqXpTMDq6mHs229q9+EQWEMFSJ73MX/nG1hzC4wt2wSGbO3ppZaVFI9D37IdgWFDVUkIINkRZC+6Bfrho9C37zb39VWUQevft10nMJ2XkLax3KidwjojB2OlqWDXdpcORtbN16Ll3990pkK5tgvNmo7AUO8ZJJIVRuSe25FctRbJL9aZjlrBIALDhiA0aWynK0laSTFy7rkN+vGTME6cAgmHoPUSDxLRd7TiGGYYMCRBcyZghgF2ug5IJsGk/cNzaR0+MXIxRrpij4RE1kqreoGUFIOdOOl5mE5o8ngYJ08h9cV6+12l4lKN4KizX5YKzb0SsYOHgXopfUoAqiH8jfkdslvAR+voUiH80EMP4dZbMzvfVFVVYcOGDTh61L2ecPz4cZSWZl6XSiaTuPnmm7Fnzx588MEHGa1gAHj88cfx6KOP2s/19fWorKzMECMzmMGgL10G/bOVYKky+2y1xLOroE2bDG365W1SJLoa7HSdwMQLiY5jTNrLRynYKfU0rBe08lJonbC22JXQ+vUR1lSLiY6rNGlGJTsC2qunInbHgUSyELn7Nuhf7zfXWONx0KJuCIysAY22fq8qCYcQmjoBoakTwAzWJUxZ614EzWu2QHIMyyUGGhlFGe/EZZyd85j+5UboSz+Acco631w3zdL0WCggOq7RJIcrSqH16yu8IoQg67ZvIPaHV8HquL6QdkLTRtQgMH40YBjQ9+43bxyTQQhorx7QhpzdTgHAPAc86/47Efj7cmDDEbMuKYE2ZCBCUyeBlnTMVLSP1tGlQri4uBjFxa039sSJE1FXV4fVq1dj3DjTIWHVqlWoq6vDpEmTPONZAnjHjh1YtmwZiopan/oLh8MIh89uuwgP/ePPoH9m7bnkjiVkDPqHnwJZWQhMHOcV/fyBtHfvctqAABgG8R6zjJnX3V3iIOEwglPGI/nhZ55hgtMng7Rhb+lZ00IIAn16nfVBJOejVUR7VsDgPMAXaiegg9j37YIQ0IryDClkhr52PfS33kk/pWetCLhzjtXQRo8wtzrJ9BZGEXnwbqQ2fIXUxi1gsRhocRGCY0aA9ullKuNUQ+TehUj8/QOk1m9yHLk0DYER1QjNntlh/Ybm5SI0dRKC+QeAlI7sqwZectuDzgdcEDU+ePBgzJkzB/fddx+ef/55AOYWpfnz5wtOWYMGDcJTTz2F66+/HqlUCjfeeCPWrl2Lv/3tb9B13V4/7tatG0LtOOXmTMHiCeifrsgYRv/wU2hjR3XJdqP2gHYrACktATt23Dx+kjDM0Nz7CLUhbXOSu9gRmDYZLJlEarm5nCJskZk+GYFxnb9N6mKHNnoEUsudk9fMM6G5qV7GEJhwZg5+LJmE/vclym+EGekJrfTJcJZ+YjBow4YgpDgAxY4bDiE4diSCY71PfyPpgzJCV06zT5zSepSf0TGhrYMBhAJB6gvgLsIFU+uvvPIKHnnkEcyaZV68vWDBAvz6178Wwmzbtg11debU0IEDB/DWW+Zl6yNGjBDCLVu2DNOnT+90mo3de1p384/FwPbuB7ns/D9qLThzKhKv/qfnd230CJBo5un+SwWEEoRmzUBgwhjoGzeDNTaB5OchUDNEaSX5aD9ot0IEr5mD5Fv/LXr7pn9r40aDDjwzRyBj2w4g7r4Oz0pegwHGDJCxY8GSKZDsbASGDwVtZWdAe0CyIwj079t6QB8XNC4YIdytWze8/PLLGcMwbs2yqqpKeO4SSIN4EGnBVhbBMCI6cTB5i8V5Cm1gPwSvn4/kO383HcwsZx/GoI0egeDcK7uaxPMOND8PdPL41gP6OCMERg0HKS5CasXnMHbsMrfW9ChHYMIY0MEDz9zfoqFBEOxZxECMUft4ViC9m27IANA+VR1Qkq7C+bfMcKnhghHCFyKIdFvRTFqPoWhBGZJSuAtnj1xgeDW0wQOgf7XVvMs1KwxtyCDQgvP/thIfFye0Xj2hdbSTW06O4Ih4i3YSO1gWaiQFmuReODscfJyf8IVwJ4L0qADpnt6WwBg0AlTwApgQkB7loCUdf25xZ4KEQgiMHNbVZPjw0WmgAwdADwbt5aQo0TGGSFvMykpBOuhAi64Aa24B1q0H23rSPI+7NAYMGXLe+6dcbLjAN2Se3yCEIHD9fCCguQ+SJ8Tcd7lgXtcQ58OHD0+QcAjaFTMyBCDQZrnPn75QwLZtA3v2F2CffQYcOwYcPQr2xl/AnvsV2PHjXU3eJQVfCHcyaI8KBO9bBDKwv7P8QgjokIEIfvtboKUdd4G2Dx8+Og7ahLHQ5s12bc9DNIrA7beA9j3/nSlVYEePgr32urmPXXabaWwE+8OfwDyc0nx0PPx5h3MAWlqC0G03grXEzJtXcrIvuTszL1oYBrBjB7B9h/nbOA4UjXYzbh8XJLRxY0BHjQDbtSd95nEBSO9e5+W+6baCLc98VzQaG4GNG4Exo88dUZcwfCF8DkEiWUCn7PXz0SU4fRp4+WXgxAkg1cN8d3wr8MWHwI03Am28WMTH+Q0SCJgzWRcLtm513eYkg23bBuIL4XMCfzrah48zQSoF/OlPwKn0ZQ3prVoATGeeP/8ZOHy46+jz4cMLKecikfL0lqugPC+dVFxV6qNT4AthHz7OBFu3mgI4k0WxfPm5o8eHj7airNR2FM0mBu7XjuA+jbuNjhCgvKyLiLv04AthHz7OBFu3uj3eeRgGsGXLuaPHh482gowfL+yBziaGc942YJ4B709FnzP4QtiHjzNBUrxwPpBmYpWEO/0slVLf5evDR1eiuhoYVuN+n1Yqyby5IG247MZHx8B3zPLh40xQUgJs324L2fu1I4iBIsrfN1tcnNla9uGjC0AoAa6/HqiqAluxErD2BffpAzJ5Eki/y7qWwEsMvhD24eNMMGoU8Omn9mOYMIQh3V077gK4otLHJQlCCTB6FMjoUWAp8y5hQv2J0a6AX+s+fJwJCguBuXPN3yprt18/YLS/rubj/AcJaL4A7kL4lrAPH2eKceNMYfzpp8Devea7aBQYP97866DL13348HHxwhfCPnycDfr3N/8SCUDXzZOy/HVgHz58tBG+EPbhoyMQCnU1BT58+LgA4S8E+PDhw4cPH10EXwj78OHDhw8fXQRfCPvw4cOHDx9dBH9NuBWw9GEM9fX1XUyJDx8+fPjoSlhygHXgSXi+EG4FDQ0NAIDKysoupsSHDx8+fJwPaGhoQDQa7ZC0COtIkX4RwjAMHDp0CHl5eSBnsfWkvr4elZWV2L9/P/Lz8zuQwgsfft1khl8/meHXjzf8usmM9tYPYwwNDQ2oqKgA7aADTnxLuBVQStGzZ88OSy8/P98fDB7w6yYz/PrJDL9+vOHXTWa0p346ygK24Dtm+fDhw4cPH10EXwj78OHDhw8fXQRfCJ8jhMNhPPHEEwiHw11NynkHv24yw6+fzPDrxxt+3WTG+VA/vmOWDx8+fPjw0UXwLWEfPnz48OGji+ALYR8+fPjw4aOL4AthHz58+PDho4vgC+FzgN/+9rfo06cPsrKyMHr0aHzyySddTVKH48knnwQhRPgrKyuzvzPG8OSTT6KiogKRSATTp0/HV199JaQRj8fx8MMPo7i4GDk5OViwYAEOHDgghKmtrcXChQsRjUYRjUaxcOFCnD59+lwUsc34+OOPcc0116CiogKEEPz1r38Vvp/Luti3bx+uueYa5OTkoLi4GI888ggSiURnFLvNaK1+Fi1a5OpLEyZMEMJcrPXz1FNPYezYscjLy0NJSQmuu+46bNu2TQhzKfefttTPBdd/mI9OxWuvvcaCwSB74YUX2ObNm9n3vvc9lpOTw/bu3dvVpHUonnjiCTZ06FB2+PBh++/YsWP296effprl5eWxN954g23cuJHdcsstrLy8nNXX19thHnjgAdajRw+2ZMkStnbtWjZjxgw2fPhwlkql7DBz5sxh1dXVbPny5Wz58uWsurqazZ8//5yWtTW8++677Mc//jF74403GAD2l7/8Rfh+ruoilUqx6upqNmPGDLZ27Vq2ZMkSVlFRwR566KFOr4NMaK1+7rrrLjZnzhyhL508eVIIc7HWz+zZs9mLL77INm3axNavX8+uvvpq1qtXL9bY2GiHuZT7T1vq50LrP74Q7mSMGzeOPfDAA8K7QYMGsR/96EddRFHn4IknnmDDhw9XfjMMg5WVlbGnn37afheLxVg0GmX/+q//yhhj7PTp0ywYDLLXXnvNDnPw4EFGKWWLFy9mjDG2efNmBoCtXLnSDrNixQoGgG3durUTSnX2kIXMuayLd999l1FK2cGDB+0wr776KguHw6yurq5TytteeAnha6+91jPOpVQ/x44dYwDYRx99xBjz+48MuX4Yu/D6jz8d3YlIJBJYs2YNZs2aJbyfNWsWli9f3kVUdR527NiBiooK9OnTB7feeit2794NANizZw+OHDki1EM4HMa0adPselizZg2SyaQQpqKiAtXV1XaYFStWIBqNYvz48XaYCRMmIBqNXjD1eS7rYsWKFaiurkZFRYUdZvbs2YjH41izZk2nlvNs8eGHH6KkpAQDBgzAfffdh2PHjtnfLqX6qaurAwB069YNgN9/ZMj1Y+FC6j++EO5EnDhxArquo7S0VHhfWlqKI0eOdBFVnYPx48fjT3/6E/7+97/jhRdewJEjRzBp0iScPHnSLmumejhy5AhCoRAKCwszhikpKXHlXVJScsHU57msiyNHjrjyKSwsRCgUOq/ra+7cuXjllVfwwQcf4Nlnn8Xnn3+OmTNnIh6PA7h06ocxhkcffRRTpkxBdXU1AL//8FDVD3Dh9R//AodzAPn2JcbYWd3IdD5i7ty59u+amhpMnDgRl112Gf74xz/aThFnUg9yGFX4C7E+z1VdXIj1dcstt9i/q6urMWbMGPTu3RvvvPMObrjhBs94F1v9PPTQQ9iwYQM+/fRT1ze//3jXz4XWf3xLuBNRXFwMTdNcWtGxY8dcGtTFhpycHNTU1GDHjh22l3SmeigrK0MikUBtbW3GMEePHnXldfz48QumPs9lXZSVlbnyqa2tRTKZvGDqCwDKy8vRu3dv7NixA8ClUT8PP/ww3nrrLSxbtky4xc3vPya86keF873/+EK4ExEKhTB69GgsWbJEeL9kyRJMmjSpi6g6N4jH49iyZQvKy8vRp08flJWVCfWQSCTw0Ucf2fUwevRoBINBIczhw4exadMmO8zEiRNRV1eH1atX22FWrVqFurq6C6Y+z2VdTJw4EZs2bcLhw4ftMO+99x7C4TBGjx7dqeXsSJw8eRL79+9HeXk5gIu7fhhjeOihh/Dmm2/igw8+QJ8+fYTvl3r/aa1+VDjv+0+bXbh8nBGsLUq///3v2ebNm9n3v/99lpOTw77++uuuJq1D8dhjj7EPP/yQ7d69m61cuZLNnz+f5eXl2eV8+umnWTQaZW+++SbbuHEju+2225TbKnr27MmWLl3K1q5dy2bOnKncNjBs2DC2YsUKtmLFClZTU3PebVFqaGhg69atY+vWrWMA2C9+8Qu2bt06e1vauaoLawvFFVdcwdauXcuWLl3Kevbs2eVblDLVT0NDA3vsscfY8uXL2Z49e9iyZcvYxIkTWY8ePS6J+vnOd77DotEo+/DDD4UtNs3NzXaYS7n/tFY/F2L/8YXwOcBvfvMb1rt3bxYKhdioUaMEd/qLBdZexWAwyCoqKtgNN9zAvvrqK/u7YRjsiSeeYGVlZSwcDrOpU6eyjRs3Cmm0tLSwhx56iHXr1o1FIhE2f/58tm/fPiHMyZMn2R133MHy8vJYXl4eu+OOO1htbe25KGKbsWzZMgbA9XfXXXcxxs5tXezdu5ddffXVLBKJsG7durGHHnqIxWKxzix+q8hUP83NzWzWrFmse/fuLBgMsl69erG77rrLVfaLtX5U9QKAvfjii3aYS7n/tFY/F2L/8W9R8uHDhw8fProI/pqwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF8IWwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF8IWwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fFyimT5+O73//+52S9meffYaamhoEg0Fcd911nZJHV+DJJ5/EiBEjzjqdqqoqPPfcc2edjg8fvhD2cVGBEJLxb9GiRV1N4gWBRx99FCNGjMCePXvwhz/8oUPS/Prrr0EIwfr16zskvTPBP/7jP+L999/vsvx9+JDh3yfs46ICf6PJn//8Z/zsZz/Dtm3b7HeRSEQIn0wmEQwGzxl95xN0XQchBJS6dfFdu3bhgQceaPWauK5CIpFAKBRqd7zc3Fzk5uZ2AkU+fJwZfEvYx0WFsrIy+y8ajYIQYj/HYjEUFBTg9ddfx/Tp05GVlYWXX34ZJ0+exG233YaePXsiOzsbNTU1ePXVV4V0p0+fjkceeQQ/+MEP0K1bN5SVleHJJ58Uwjz55JPo1asXwuEwKioq8Mgjj9jf4vE4fvCDH6CyshLhcBj9+/fH73//e/v7Rx99hHHjxiEcDqO8vBw/+tGPkEql7O9NTU248847kZubi/Lycjz77LOusicSCfzgBz9Ajx49kJOTg/Hjx+PDDz+0v//hD39AQUEB/va3v2HIkCEIh8PYu3evkIZlrZ48eRJ33303CCG2Jbx582bMmzcPubm5KC0txcKFC3HixAk77uLFizFlyhQUFBSgqKgI8+fPx65du+zv1rVzI0eOBCEE06dPt+tWnla/7rrrhFmLqqoq/O///b+xaNEiRKNR3HfffQCA5cuXY+rUqYhEIqisrMQjjzyCpqYmV93wbcRPRy9atAjXXXcd/vmf/xnl5eUoKirCd7/7XSSTSTvMsWPHcM011yASiaBPnz545ZVXXOnW1dXh/vvvR0lJCfLz8zFz5kx8+eWXAMw7aMvKyvB//s//scOvWrUKoVAI7733nietPi4RtPMSCx8+Lhi8+OKLLBqN2s979uxhAFhVVRV744032O7du9nBgwfZgQMH2DPPPMPWrVvHdu3axX71q18xTdPYypUr7bjTpk1j+fn57Mknn2Tbt29nf/zjHxkhhL333nuMMcb+4z/+g+Xn57N3332X7d27l61atYr97ne/s+PffPPNrLKykr355pts165dbOnSpey1115jjDF24MABlp2dzR588EG2ZcsW9pe//IUVFxezJ554wo7/ne98h/Xs2ZO99957bMOGDWz+/PksNzeXfe9737PD3H777WzSpEns448/Zjt37mTPPPMMC4fDbPv27XZ9BINBNmnSJPbZZ5+xrVu3ssbGRqHOUqkUO3z4MMvPz2fPPfecfU3coUOHWHFxMXv88cfZli1b2Nq1a9lVV13FZsyYYcf9z//8T/bGG2+w7du3s3Xr1rFrrrmG1dTUMF3XGWOMrV69mgFgS5cuZYcPH2YnT56065YvB2OMXXvttfatU4wx1rt3b5afn8+eeeYZfa0XPwAACGtJREFUtmPHDrZjxw62YcMGlpuby375y1+y7du3s88++4yNHDmSLVq0yLNPPPHEE2z48OH281133cXy8/PZAw88wLZs2cLefvttlp2dLbTd3LlzWXV1NVu+fDn74osv2KRJk1gkEmG//OUvGWPmrUaTJ09m11xzDfv888/Z9u3b2WOPPcaKiorsMr7zzjssGAyyzz//nDU0NLB+/fq5yuzj0oQvhH1ctPASws8991yrcefNm8cee+wx+3natGlsypQpQpixY8eyH/7wh4wxxp599lk2YMAAlkgkXGlt27aNAWBLlixR5vU//sf/YAMHDmSGYdjvfvOb37Dc3Fym6zpraGhgoVDIFtqMmdesRSIRm5Hv3LmTEULYwYMHhbSvuOIK9vjjj9v1AYCtX7++1fJHo1Hh+ryf/vSnbNasWUKY/fv3MwBs27ZtyjSOHTvGANjX7Fn1v27dOiFcW4XwddddJ4RZuHAhu//++4V3n3zyCaOUspaWFiVNKiHcu3dv4R7Zm266id1yyy2MMafteIVsy5YtDIAthN9//32Wn5/vusLusssuY88//7z9/OCDD7IBAwawO+64g1VXV3vS6OPSgr8m7OOSw5gxY4RnXdfx9NNP489//jMOHjyIeDyOeDyOnJwcIdywYcOE5/Lychw7dgwAcNNNN+G5555D3759MWfOHMybNw/XXHMNAoEA1q9fD03TMG3aNCU9W7ZswcSJE0EIsd9NnjwZjY2NOHDgAGpra5FIJDBx4kT7e7du3TBw4ED7ee3atWCMYcCAAULa8XgcRUVF9nMoFHKVoy1Ys2YNli1bplxP3bVrFwYMGIBdu3bhpz/9KVauXIkTJ07AMAwAwL59+1BdXd3uPGXI7bZmzRrs3LlTmB5mjMEwDOzZsweDBw9uU7pDhw6Fpmn2c3l5OTZu3AjAbJtAICDkPWjQIBQUFAh0NDY2CvUMAC0tLcJ0/D//8z+juroar7/+Or744gtkZWW1iT4fFzd8IezjkoMsXJ999ln88pe/xHPPPYeamhrk5OTg+9//PhKJhBBOduAihNiCprKyEtu2bcOSJUuwdOlSPPjgg3jmmWfw0UcfuZzBZDDGBAFsvbPyYG248tswDGiahjVr1ggCBYAgOCORiCuvtsAwDFxzzTX4+c9/7vpWXl4OALjmmmtQWVmJF154ARUVFTAMA9XV1a56lEEpdZWRX5O1ILebYRj49re/Lay9W+jVq1erZbKQqV35dvCCYRgoLy8X1t8t8MJ69+7dOHToEAzDwN69e89IGfJx8cEXwj4ueXzyySe49tpr8c1vfhOAyVR37NjRZkvKQiQSwYIFC7BgwQJ897vfxaBBg7Bx40bU1NTAMAx89NFHuPLKK13xhgwZgjfeeEMQxsuXL0deXh569OiBwsJCBINBrFy50hYutbW12L59u21djxw5Erqu49ixY7j88svPpjqUGDVqFN544w1UVVUhEHCzjZMnT2LLli14/vnn7fw//fRTIYzlzazruvC+e/fugle7ruvYtGkTZsyY0SpNX331Ffr163dGZWoLBg8ejFQqhS+++ALjxo0DAGzbtg2nT58W6Dhy5AgCgQCqqqqU6SQSCdxxxx245ZZbMGjQINxzzz3YuHEjSktLO412HxcGfO9oH5c8+vXrhyVLlmD58uXYsmULvv3tb+PIkSPtSuMPf/gDfv/732PTpk3YvXs3XnrpJUQiEfTu3RtVVVW46667cPfdd+Ovf/0r9uzZgw8//BCvv/46AODBBx/E/v378fDDD2Pr1q34r//6LzzxxBN49NFHQSlFbm4u7rnnHvzTP/0T3n//fWzatAmLFi0SthYNGDAAd9xxB+688068+eab2LNnDz7//HP8/Oc/x7vvvnvWdfTd734Xp06dwm233YbVq1dj9+7deO+993D33XdD13UUFhaiqKgIv/vd77Bz50588MEHePTRR4U0SkpKEIlEsHjxYhw9ehR1dXUAgJkzZ+Kdd97BO++8g61bt+LBBx8UhJwXfvjDH2LFihX47ne/i/Xr12PHjh1466238PDDD591eS0MHDgQc+bMwX333YdVq1ZhzZo1uPfee4XZjSuvvBITJ07Eddddh7///e/4+uuvsXz5cvzkJz/BF198AQD48Y9/jLq6OvzqV7/CD37wAwwePBj33HNPh9Hp48KFL4R9XPL46U9/ilGjRmH27NmYPn06ysrK2n1KVEFBAV544QVMnjwZw4YNw/vvv4+3337bXif8l3/5F9x444148MEHMWjQINx33332VpoePXrg3XffxerVqzF8+HA88MADuOeee/CTn/zETv+ZZ57B1KlTsWDBAlx55ZWYMmUKRo8eLdDw4osv4s4778Rjjz2GgQMHYsGCBVi1ahUqKyvProIAVFRU4LPPPoOu65g9ezaqq6vxve99D9FoFJRSUErx2muvYc2aNaiursY//MM/4JlnnhHSCAQC+NWvfoXnn38eFRUVuPbaawEAd999N+666y7ceeedmDZtGvr06dOqFQyYa/QfffQRduzYgcsvvxwjR47ET3/6U3t6vKPw4osvorKyEtOmTcMNN9xgb0WyQAjBu+++i6lTp+Luu+/GgAEDcOutt+Lrr79GaWkpPvzwQzz33HN46aWXkJ+fD0opXnrpJXz66af4l3/5lw6l1ceFB8LasuDkw4cPHz58+Ohw+JawDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF8IWwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF8IWwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF8IWwDx8+fPjw0UXwhbAPHz58+PDRRfCFsA8fPnz48NFF+P8BX/r+c4/L13cAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 500x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"<style>\\n\",\n       \"    span.token {\\n\",\n       \"        font-family: monospace;\\n\",\n       \"        \\n\",\n       \"        border-style: solid;\\n\",\n       \"        border-width: 1px;\\n\",\n       \"        border-color: #dddddd;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table>\\n\",\n       \"    <thead>\\n\",\n       \"        <tr>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-negative transcoder features</th>\\n\",\n       \"            <th colspan=2 style='text-align:center'>Most-positive transcoder features</th>\\n\",\n       \"        </tr>\\n\",\n       \"    </thead>\\n\",\n       \"    <tbody>\\n\",\n       \"<tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ff9f9f'>8407</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.249</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #7f7fff'>16632</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.417</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa0a0'>20597</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.240</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8787ff'>9188</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.370</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>16796</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.219</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8888ff'>17476</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.365</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa5a5'>128</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.218</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8989ff'>6866</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.364</td>\\n\",\n       \"</tr><tr>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #ffa7a7'>3698</span></td>\\n\",\n       \"    <td style='text-align:right'>-0.206</td>\\n\",\n       \"    <td style='text-align:left'><span class='token' style='background-color: #8d8dff'>9853</span></td>\\n\",\n       \"    <td style='text-align:right'>+0.339</td>\\n\",\n       \"</tr></tbody></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"display_transcoder_pullback_features(model, make_sae_feature_vector(transcoders[5], 12450), transcoders[0], k=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"69861ec2-2777-47c4-ace2-59166fff4b13\",\n   \"metadata\": {},\n   \"source\": [\n    \"In comparison with the input-independent pullback from earlier, we can see that this pullback is a bit more sparse.\\n\",\n    \"\\n\",\n    \"One potential piece of intuition for why this happens: some features might activate on a wider variety of inputs than others. For instance, a hypothetical \\\"noun\\\" feature might activate on a whole lot of earlier-layer features, while a \\\"punctuation in the context of math\\\" feature would fire on a smaller number of features. In this (hypothetical) example, the former feature might display a denser pullback than the latter.\\n\",\n    \"\\n\",\n    \"Now, let's repeat the experiment comparing this pullback to the mean input-times-gradient vector.\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"id\": \"5e84c0b9-1cc3-4e67-9fb5-194962114fcf\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"100%|██████████| 9902/9902 [01:19<00:00, 123.91it/s]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": 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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"mean_ixg = get_mean_ixg(model, owt_tokens_torch, transcoders[5], 12450, transcoders[0],\\n\",\n    \"    token_idxs=np.stack(np.unravel_index( # get all tokens where the feature's activation is more than the 20th percentile\\n\",\n    \"        np.arange(len(scores.reshape(-1)))[scores.reshape(-1) > np.percentile(scores[scores > 0], 20)], scores.shape\\n\",\n    \"    )).T,\\n\",\n    \")\\n\",\n    \"\\n\",\n    \"# compare to input-independent pullback\\n\",\n    \"pullback = transcoders[0].W_dec @ my_feature.vector\\n\",\n    \"\\n\",\n    \"xs = np.arange(1,101)\\n\",\n    \"ys = [_num_common_features(k) for k in xs]\\n\",\n    \"plt.plot(xs, ys)\\n\",\n    \"plt.xlabel(\\\"Top $k$ features\\\")\\n\",\n    \"plt.ylabel(\\\"Percentage of features in common\\\")\\n\",\n    \"plt.title(\\\"Percentage of features in common among top $k$ features\\\\nfor mean IxG and pullbacks\\\")\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"id\": \"38b36a8f-8b74-4563-959f-068a28e60ea4\",\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Percentage of common features in top 10: 60.00%\\n\",\n      \"Percentage of common features in top 20: 50.00%\\n\",\n      \"Percentage of common features in top 50: 44.00%\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(f\\\"Percentage of common features in top 10: {_num_common_features(10) * 100:.2f}%\\\")\\n\",\n    \"print(f\\\"Percentage of common features in top 20: {_num_common_features(20) * 100:.2f}%\\\")\\n\",\n    \"print(f\\\"Percentage of common features in top 50: {_num_common_features(50) * 100 :.2f}%\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"97be9328-0ad0-446f-b5e2-89d07c9bcfd2\",\n   \"metadata\": {},\n   \"source\": [\n    \"In this case, there's far more overlap between the top MLP0 features according to the input-independent pullback and the top MLP0 features according to the mean input-dependent input-times-gradient.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"id\": \"88dcb707-318e-43ca-bc5c-2d05fb0eee9d\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Where to go from here?\\n\",\n    \"\\n\",\n    \"At this point, we've introduced just about all of our tools for analyzing transcoder circuits. The next step is to start using them! We've provided a number of notebooks in this directory containing actual case studies that we carried out of various features using these transcoder circuit tools. By referencing these case studies in conjunction with this introductory notebook, you should hopefully get a feel for how to use the transcoder circuit tools to do your own analysis.\\n\",\n    \"\\n\",\n    \"Have fun interpreting!\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.9.16\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 5\n}\n"
  }
]