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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. 8-RES-JB
    11. 16709
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    Explanations

    sports-related terms and activities, especially those related to penalties and cards in games like soccer or baseball

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports penalties and scoring events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.08
     Conserv
    -0.85
     Perspect
    -0.72
    aeda
    -0.72
    é¾įå¥ij士
    -0.71
    indust
    -0.70
     Moj
    -0.69
     MFT
    -0.69
     educ
    -0.67
     strains
    -0.67
    POSITIVE LOGITS
     scorer
    1.00
     hitter
    0.97
     Penalty
    0.96
     penalty
    0.94
     fullback
    0.92
     teammate
    0.91
     puck
    0.87
     fielder
    0.85
     ball
    0.84
     batted
    0.83
    Activations Density 0.272%

    No Known Activations