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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. 12133
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    Explanations

    references to international football matches, teams, and players

    oai_token-act-pair · gpt-3.5-turbo

    names of national football teams and mentions of their countries

    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
    ipation
    -0.83
    onym
    -0.80
    ebin
    -0.79
    Bloomberg
    -0.70
    adobe
    -0.69
    aminer
    -0.69
     Hoover
    -0.68
    imb
    -0.68
    essen
    -0.67
    soType
    -0.66
    POSITIVE LOGITS
     goalkeeper
    1.21
     midfielder
    1.08
     squad
    1.05
     striker
    1.01
     teammate
    1.01
     captain
    0.99
     Rugby
    0.98
     coach
    0.98
     winger
    0.97
     Football
    0.96
    Activations Density 0.071%

    No Known Activations