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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. 9-RES-JB
    11. 19611
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    INDEX
    Explanations

    the names of NFL teams, players, and related keywords

    oai_token-act-pair · gpt-3.5-turbo

    references to specific NFL teams and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ements
    -0.77
    piece
    -0.72
    oice
    -0.70
    cule
    -0.70
    uras
    -0.69
    isf
    -0.69
    ting
    -0.69
     Miranda
    -0.68
    stroke
    -0.68
    yip
    -0.67
    POSITIVE LOGITS
     linebacker
    1.03
     quarterback
    0.97
     QB
    0.94
     Broncos
    0.91
     Scouting
    0.90
     cornerback
    0.90
     linebackers
    0.90
     rusher
    0.88
     Raiders
    0.88
     lineback
    0.87
    Activations Density 0.133%

    No Known Activations