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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. 8-RES-JB
    11. 6475
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    Explanations

    proper nouns, likely related to sports players or teams

    oai_token-act-pair · gpt-3.5-turbo

    names of athletes or players in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gloria
    -0.87
     Prohibition
    -0.80
     PBS
    -0.78
     censor
    -0.73
     cens
    -0.71
     Wendy
    -0.69
     Operation
    -0.69
     Dorothy
    -0.68
     Capitalism
    -0.67
     Alice
    -0.67
    POSITIVE LOGITS
     undrafted
    0.96
     Injury
    0.95
     scored
    0.95
     averaged
    0.93
     injury
    0.92
     offensively
    0.92
     underwent
    0.89
     exce
    0.88
     athleticism
    0.87
     excel
    0.86
    Activations Density 0.224%

    No Known Activations