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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. 4774
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    Explanations

    sports-related statistics and performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics related to sports performance

    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
    cult
    -0.82
    IFA
    -0.75
     univers
    -0.71
    enegger
    -0.71
    aeda
    -0.68
    cephal
    -0.67
    forums
    -0.67
    ragon
    -0.66
    rities
    -0.65
    vet
    -0.65
    POSITIVE LOGITS
     apiece
    1.13
     batted
    0.98
     surrendered
    0.96
     foul
    0.94
     Penalty
    0.90
     turnovers
    0.90
     penalties
    0.90
     downed
    0.90
     penalty
    0.87
     missed
    0.84
    Activations Density 0.294%

    No Known Activations