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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. 9478
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    INDEX
    Explanations

    basketball statistics, including points scored and rebounds

    oai_token-act-pair · gpt-3.5-turbo

    statistics and performance metrics related to sports

    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
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    No Comments

    Negative Logits
     overest
    -0.66
     comprom
    -0.66
     underestimated
    -0.62
     tabl
    -0.60
     (%)
    -0.59
     underest
    -0.58
    RH
    -0.57
     Tuc
    -0.57
     relegation
    -0.57
     corrid
    -0.57
    POSITIVE LOGITS
    reau
    0.81
    three
    0.73
     rebounds
    0.71
    six
    0.69
    adin
    0.69
    drawn
    0.67
    eight
    0.67
    pointer
    0.67
    nine
    0.67
     baskets
    0.66
    Activations Density 0.096%

    No Known Activations