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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. 4291
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    Explanations

    mentions of professional sports teams and players

    oai_token-act-pair · gpt-3.5-turbo
    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
    EVA
    -0.73
    peak
    -0.72
    pour
    -0.71
    epad
    -0.71
    scape
    -0.70
    herer
    -0.70
    face
    -0.69
    Reviewed
    -0.68
    ãĥĺ
    -0.68
    ester
    -0.68
    POSITIVE LOGITS
     Wildcats
    1.05
     Bulldogs
    1.01
     Tigers
    0.99
     Eagles
    0.99
     Buccaneers
    0.97
     Bulls
    0.96
     organization
    0.96
     Falcons
    0.95
     Ducks
    0.95
     likes
    0.94
    Activations Density 0.197%

    No Known Activations