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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. 3-RES-JB
    11. 12511
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    oai_token-act-pair · gpt-3.5-turbo

    quotations or speech markers within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     rul
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     derby
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     destro
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     adjud
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     phon
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     challeng
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     referen
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     quartz
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     prelim
    -0.57
     equivalents
    -0.56
    POSITIVE LOGITS
    Justice
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    We
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    Britain
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    I
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    WHERE
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    Sorry
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    Reb
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    we
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    Star
    0.73
    Our
    0.73
    Activations Density 0.130%

    No Known Activations