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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. 1508
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    Explanations

    mentions or discussions of long-term concepts or plans

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term considerations or impacts

    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
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    Negative Logits
     Cosponsors
    -0.91
    ©¶æ¥µ
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    asty
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    chy
    -0.77
    rote
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    HOU
    -0.75
    _-
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     Godd
    -0.74
    chu
    -0.73
    yp
    -0.73
    POSITIVE LOGITS
     viability
    1.02
     unemployed
    0.97
     sustainability
    0.96
     stability
    0.90
     memory
    0.90
     goals
    0.88
     commitment
    0.87
     planning
    0.86
     prospects
    0.84
     trends
    0.84
    Activations Density 0.037%

    No Known Activations