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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE Local
    9. 6-RES_SCL-AJT
    11. 13969
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    Explanations

    phrases related to sports, particularly football (preseason, players, games)

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.19
    1.0%
    288
    +0.16
    0.8%
    302
    +0.12
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.19
    0.17
    651
    +0.16
    0.10
    433
    +0.12
    0.08
    Negative Logits
    rage
    -0.78
    lass
    -0.76
    chn
    -0.72
    bar
    -0.72
    lessness
    -0.72
    gently
    -0.71
    ph
    -0.71
    oeuv
    -0.69
    pes
    -0.69
    pez
    -0.68
    POSITIVE LOGITS
     opener
    0.77
     season
    0.74
     finale
    0.74
     kickoff
    0.71
     preseason
    0.69
    ilogy
    0.68
    TPPStreamerBot
    0.67
     festivities
    0.65
     installments
    0.64
     AVG
    0.63
    Activations Density 5.033%

    No Known Activations