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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. 10-RES-JB
    11. 19027
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    Explanations

    text related to assessing and analyzing performance, specifically in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to player performance metrics and evaluations in sports analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     evac
    -0.73
     urgently
    -0.73
    security
    -0.73
    mun
    -0.73
    lene
    -0.71
     festive
    -0.70
     Brussels
    -0.69
     Telegram
    -0.69
     reopened
    -0.69
     mobil
    -0.68
    POSITIVE LOGITS
     averages
    1.41
     stats
    1.34
     Adjusted
    1.30
    stats
    1.29
     metrics
    1.24
     averaged
    1.20
     regress
    1.18
     statistically
    1.16
    Stats
    1.15
     averaging
    1.15
    Activations Density 0.465%

    No Known Activations