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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. 7-RES-JB
    11. 13497
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    Explanations

    terms related to sports, particularly actions and statistics in sports matches

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports statistics and gameplay events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.90
     MFT
    -0.86
    DragonMagazine
    -0.80
    é¾įå¥ij士
    -0.73
     ItemLevel
    -0.72
     Perspect
    -0.71
    minster
    -0.69
    TeX
    -0.68
    rities
    -0.68
    aeda
    -0.68
    POSITIVE LOGITS
     hitter
    0.95
     scorer
    0.94
     penalty
    0.90
     fullback
    0.85
     batted
    0.85
     goalt
    0.84
     keeper
    0.84
     teammate
    0.83
     stopp
    0.82
     Penalty
    0.82
    Activations Density 0.182%

    No Known Activations