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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. 4645
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    Explanations

    terms related to various societal and academic subjects, such as mathematics, workplace issues, charitable donations, broadband performance, tax avoidance, religion, sustainability, and conflict

    oai_token-act-pair · gpt-3.5-turbo

    themes related to social issues and civic engagement

    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

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    Negative Logits
    vik
    -0.74
    Cry
    -0.72
     Laugh
    -0.67
    MAL
    -0.67
    rament
    -0.66
    habi
    -0.65
    rier
    -0.63
    atel
    -0.63
    gue
    -0.62
    umo
    -0.62
    POSITIVE LOGITS
     published
    0.93
     titled
    0.88
     topics
    0.78
     compiled
    0.75
     chaired
    0.75
     coined
    0.74
    /,
    0.73
     concluded
    0.71
     concludes
    0.70
     discusses
    0.70
    Activations Density 0.459%

    No Known Activations