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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
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    Explanations

    mentions of sports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports and sporting activities

    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
     Gates
    -0.75
    idges
    -0.68
    arine
    -0.67
    owicz
    -0.65
     Nas
    -0.64
    ignt
    -0.63
    BILITY
    -0.61
    iffe
    -0.61
    OSE
    -0.59
     Welch
    -0.59
    POSITIVE LOGITS
    manship
    1.35
     leagues
    0.97
     Illustrated
    0.96
    men
    0.93
     stadiums
    0.93
    nell
    0.89
     bras
    0.81
    mans
    0.81
    books
    0.79
     betting
    0.78
    Activations Density 0.028%

    No Known Activations