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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 4982
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    Explanations

    numerical quantities related to sports performances

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.93
    actionDate
    -0.81
    imester
    -0.77
    eah
    -0.77
    LER
    -0.76
    aminer
    -0.75
    agonist
    -0.75
    fecture
    -0.75
    rella
    -0.73
    MP
    -0.72
    POSITIVE LOGITS
     unanswered
    1.11
     turnovers
    1.06
    teenth
    1.05
     pointers
    1.03
     straight
    1.02
     consecutive
    0.97
     interceptions
    0.95
     successive
    0.95
     defenders
    0.92
    aciously
    0.92
    Activations Density 0.089%

    No Known Activations