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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. 6115
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    INDEX
    Explanations

    indications for a call to action or immediate attention

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and general structural elements of written text

    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
    imity
    -0.72
     proximity
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     occupational
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     frequent
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     analyst
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     Lauder
    -0.64
     Mechdragon
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     casualty
    -0.62
     analysts
    -0.62
     differential
    -0.60
    POSITIVE LOGITS
     Enjoy
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    scroll
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     Contains
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    sorry
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    includes
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    download
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    PLE
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    WARNING
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     PLEASE
    0.89
    please
    0.88
    Activations Density 0.524%

    No Known Activations