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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. 24052
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    INDEX
    Explanations

    mentions of performance or statistics related to sports

    oai_token-act-pair · gpt-3.5-turbo

    the word "this" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    oller
    -0.75
    papers
    -0.70
    mund
    -0.68
    apes
    -0.64
     trillions
    -0.63
    AppData
    -0.63
     ®
    -0.63
    renheit
    -0.63
    cius
    -0.62
    jew
    -0.62
    POSITIVE LOGITS
     season
    1.32
     matchup
    1.13
     offseason
    1.12
     week
    1.12
     year
    1.07
     weekend
    1.07
     preseason
    0.95
     postseason
    0.94
     month
    0.91
     league
    0.91
    Activations Density 0.131%

    No Known Activations