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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. 8-RES-JB
    11. 17010
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    dates, time references, and related numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     Conclusion
    0.94
     =================================================================
    0.93
    ================================================================
    0.87
    ibliography
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     Miscellaneous
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    ãĤ´ãĥ³
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    cellaneous
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    RAW
    0.76
    endix
    0.73
    ----------------------------------------------------------------
    0.73
    Activations Density 0.368%

    No Known Activations