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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. 1290
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    INDEX
    Explanations

    young players, prospects, veterans, and spots where they compete in sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various categories of athletes, specifically focusing on their status, roles, and competition

    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
    Operation
    -0.81
    izoph
    -0.78
    leanor
    -0.74
    DATA
    -0.73
    GoldMagikarp
    -0.69
    sth
    -0.67
    ancock
    -0.66
     Feminist
    -0.66
    cffffcc
    -0.65
    ombat
    -0.65
    POSITIVE LOGITS
     drafted
    1.19
     vying
    1.12
     who
    1.10
     whom
    1.03
     averaging
    1.00
     lined
    0.91
     sidelined
    0.91
     undrafted
    0.89
     entering
    0.88
     capable
    0.88
    Activations Density 0.112%

    No Known Activations