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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. 5556
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    Explanations

    technical terms related to engineering, calculations, and processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to calculations, scores, and metrics in analytical contexts

    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
    taboola
    -0.63
    Newsletter
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    xtap
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    letters
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     retweet
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     excerpts
    -0.56
     clauses
    -0.56
    Å¡
    -0.54
     Sisters
    -0.52
     à¨
    -0.50
    POSITIVE LOGITS
    Conclusion
    0.82
     Conclusion
    0.72
    .''.
    0.72
     worthwhile
    0.71
     =================================================================
    0.71
    Hopefully
    0.68
     overall
    0.67
     concludes
    0.64
     hopefully
    0.63
    .�
    0.63
    Activations Density 1.736%

    No Known Activations