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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. 21946
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    INDEX
    Explanations

    football-related statistics like tackles, sacks, and forced fumbles

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to player performance in football games

    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
    aeda
    -0.82
     Canaver
    -0.78
    urnal
    -0.73
    sylv
    -0.73
    alus
    -0.70
    Express
    -0.68
     holiest
    -0.67
    ère
    -0.65
    ozyg
    -0.65
    soType
    -0.63
    POSITIVE LOGITS
     fumble
    1.38
     interception
    1.21
     interceptions
    1.19
     turnovers
    1.08
     sacks
    1.08
     turnover
    1.03
     batted
    1.01
     tackles
    1.01
     blocked
    1.00
     sack
    0.99
    Activations Density 0.106%

    No Known Activations