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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. 32085
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    Explanations

    mentions related to scouting, scouts, scouting reports, and draft evaluations in the context of sports

    oai_token-act-pair · gpt-3.5-turbo

    words related to scouting or evaluation activities

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
    0.8%
    302
    +0.12
    0.5%
    575
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    97
    +0.19
    0.04
    506
    +0.12
    0.06
    326
    +0.10
    0.18
    Negative Logits
    iac
    -0.76
    uctor
    -0.75
    iment
    -0.75
    idence
    -0.71
    Torrent
    -0.70
    pour
    -0.70
    vernment
    -0.69
     Pyr
    -0.68
    death
    -0.68
    icative
    -0.67
    POSITIVE LOGITS
     scout
    0.98
     Scouting
    0.98
     scouts
    0.96
     scouting
    0.90
     Scouts
    0.81
    pec
    0.79
     troop
    0.79
     Scout
    0.76
    onomy
    0.74
     Guides
    0.71
    Activations Density 6.231%

    No Known Activations