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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. 11-RES-JB
    11. 20644
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    Explanations

    information related to sports events, teams, matches, and scores

    oai_token-act-pair · gpt-3.5-turbo

    sports events and their schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tabl
    -0.77
    aminer
    -0.74
     instinctively
    -0.72
    metic
    -0.68
    illions
    -0.67
     Kardashian
    -0.65
    elligence
    -0.63
     genius
    -0.63
     conscientious
    -0.63
     whistlebl
    -0.63
    POSITIVE LOGITS
     undefeated
    0.96
     unbeaten
    0.95
     TOUR
    0.94
    efeated
    0.94
     UL
    0.90
     USL
    0.88
     RHP
    0.86
     Tucson
    0.84
     NCAA
    0.84
     Coastal
    0.82
    Activations Density 0.257%

    No Known Activations