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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. 9-RES-JB
    11. 2374
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    Explanations

    mentions of sports leagues, specifically Major League Baseball and Major League Soccer

    oai_token-act-pair · gpt-3.5-turbo

    mentions of major sports leagues, particularly in relation to baseball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atche
    -0.88
    stant
    -0.88
    metic
    -0.85
    ledged
    -0.82
    fulness
    -0.79
    =-=-=-=-=-=-=-=-
    -0.78
    okia
    -0.75
    perm
    -0.72
    vt
    -0.72
    romeda
    -0.72
    POSITIVE LOGITS
     Baseball
    1.35
     Soccer
    1.29
     baseball
    0.91
     Stadium
    0.87
     Fantasy
    0.85
     Wrestling
    0.82
     Rugby
    0.79
     hitters
    0.78
     Scouting
    0.78
     pitcher
    0.78
    Activations Density 0.037%

    No Known Activations