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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. 4-RES-JB
    11. 12077
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    Explanations

    locations or directions within a narrative storyline

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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     Founders
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    partisan
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     Founding
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    ibrary
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     billionaires
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     nutshell
    -0.54
     Fiscal
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     Gillespie
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     privatization
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    POSITIVE LOGITS
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    ãĤ©
    0.56
     mosqu
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    VERTISEMENT
    0.55
    livion
    0.55
    Activations Density 1.928%

    No Known Activations