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    1. Home
    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE Local
    5. 6-RES_SCL-AJT
    6. 13538
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    Explanations

    information related to prize offerings and numerical values like amounts and quantities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Neuron Alignment
    Index
    Value
    % of L₁
    648
    +0.13
    0.5%
    610
    +0.12
    0.5%
    165
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    160
    +0.13
    0.23
    640
    +0.12
    0.28
    68
    +0.11
    0.04
    Negative Logits
    ħĭ
    -0.75
    alogue
    -0.70
    ESE
    -0.70
    ilda
    -0.70
     Nieto
    -0.69
     brut
    -0.68
     Dickinson
    -0.68
     kindly
    -0.67
    Exit
    -0.67
     commanding
    -0.67
    POSITIVE LOGITS
    pees
    0.99
    abytes
    0.96
    coins
    0.94
    Downloadha
    0.93
     pounds
    0.90
    votes
    0.86
    MSN
    0.83
     lbs
    0.81
    acht
    0.78
    embed
    0.75
    Activations Density 19.763%

    No Known Activations