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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-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
    452
    +0.13
    0.6%
    679
    +0.13
    0.6%
    104
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    455
    +0.13
    0.12
    292
    +0.13
    0.08
    679
    +0.11
    0.13
    Negative Logits
     unlaw
    -0.77
    ModLoader
    -0.72
     welf
    -0.69
    verting
    -0.68
     righteousness
    -0.64
    dropping
    -0.62
    ONT
    -0.62
    Tang
    -0.61
    continental
    -0.61
    Nev
    -0.61
    POSITIVE LOGITS
     consisted
    1.17
     consists
    1.01
     lasted
    0.99
     succeeded
    0.95
     reportedly
    0.92
     includes
    0.84
     however
    0.83
     also
    0.82
     belonged
    0.82
     comprises
    0.79
    Activations Density 2.597%

    No Known Activations