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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. 10-RES-JB
    11. 14085
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    Explanations

    sports teams or players, specifically focusing on the Detroit Red Wings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports teams, particularly those related to ice hockey and football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chwitz
    -0.89
    schild
    -0.86
     relativity
    -0.82
    é¾įå¥ij士
    -0.79
    milo
    -0.74
    inventoryQuantity
    -0.73
     VICE
    -0.73
     Galileo
    -0.72
     Vanity
    -0.72
     Duterte
    -0.72
    POSITIVE LOGITS
    birds
    1.29
    hawks
    1.26
     Eagles
    1.23
     Devils
    1.22
     Falcons
    1.21
     Bears
    1.20
     Tigers
    1.19
     Panthers
    1.19
    Stars
    1.18
     Cats
    1.18
    Activations Density 0.190%

    No Known Activations