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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. 10-RES-JB
    11. 18623
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    Explanations

    text separators and formatting elements, like equal signs and dashes

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lling
    -0.78
    assic
    -0.75
    ornia
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    rican
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    rael
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    matically
    -0.69
    iller
    -0.69
    icion
    -0.67
    inav
    -0.67
     dared
    -0.66
    POSITIVE LOGITS
    */
    1.10
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    END
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    ==
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     SECTION
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    =>
    0.85
    Chapter
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     ********************************
    0.84
    Activations Density 0.059%

    No Known Activations