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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. 7-RES-JB
    11. 6433
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    Explanations

    references to different sports leagues, specifically Major League Baseball and Major League Soccer

    oai_token-act-pair · gpt-3.5-turbo

    references to professional sports leagues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fulness
    -0.86
    atche
    -0.84
    ledged
    -0.83
    etsk
    -0.83
    glomer
    -0.81
    kies
    -0.80
    romeda
    -0.78
    Downloadha
    -0.78
    stant
    -0.76
    ãĥ¼ãĤ¯
    -0.75
    POSITIVE LOGITS
     Baseball
    1.22
     Soccer
    1.11
     baseball
    0.84
     pitcher
    0.75
     leagues
    0.73
     pitchers
    0.73
     Wrestling
    0.71
     hitters
    0.70
     Rugby
    0.70
     Stadium
    0.70
    Activations Density 0.038%

    No Known Activations