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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. 11607
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    Explanations

    statistics related to performance in sports, particularly focusing on earned run average (ERA) in baseball

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics related to baseball performance

    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
     Guardians
    -0.89
     Mali
    -0.87
     Mandela
    -0.86
    wana
    -0.86
     Senegal
    -0.85
     Niger
    -0.83
    ã
    -0.78
     rugby
    -0.75
    Paris
    -0.75
    nil
    -0.75
    POSITIVE LOGITS
     bullpen
    1.51
     ERA
    1.50
     reliever
    1.48
     innings
    1.45
     RHP
    1.38
     fastball
    1.35
     pitching
    1.32
     batters
    1.30
     pitcher
    1.30
     pitchers
    1.29
    Activations Density 0.257%

    No Known Activations