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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. 8-RES-JB
    11. 6104
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    Explanations

    statistics in various sports

    oai_token-act-pair · gpt-3.5-turbo

    metrics and statistics related to individual player performance in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abus
    -0.73
     Administ
    -0.65
     Nare
    -0.65
    ymm
    -0.64
     htt
    -0.64
    bara
    -0.64
     Labs
    -0.62
     fearing
    -0.62
     segreg
    -0.61
     Lauder
    -0.61
    POSITIVE LOGITS
     impressive
    0.98
     victories
    0.93
     career
    0.92
     receptions
    0.90
     strikeouts
    0.90
     interceptions
    0.88
     rebound
    0.86
     assists
    0.85
     score
    0.84
     touchdowns
    0.83
    Activations Density 0.254%

    No Known Activations