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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. 5122
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    Explanations

    mentions of sports teams and games

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific teams or locations in sports contexts

    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
    thood
    -0.87
    SPONSORED
    -0.81
    milo
    -0.81
    bnb
    -0.77
    cyclopedia
    -0.75
    ORPG
    -0.73
    isine
    -0.70
    ãĥİ
    -0.70
    女
    -0.69
     overboard
    -0.69
    POSITIVE LOGITS
     Panthers
    1.08
     Tigers
    1.06
     lowly
    1.06
     likes
    1.06
     Cardinals
    1.03
     Buccaneers
    1.03
     Rams
    1.02
     Chargers
    1.02
     Clippers
    1.02
     Blazers
    1.02
    Activations Density 0.091%

    No Known Activations