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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. 13904
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    Explanations

    paragraphs discussing writing, journalism, and articles

    oai_token-act-pair · gpt-3.5-turbo

    references to articles and online sources

    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
    Not in Any Lists

    No Comments

    Negative Logits
    )",
    -0.70
    onse
    -0.68
    emet
    -0.65
    FTWARE
    -0.58
    enough
    -0.57
    example
    -0.56
    gow
    -0.56
    Plex
    -0.55
    é¾į
    -0.55
    umbers
    -0.55
    POSITIVE LOGITS
    <|endoftext|>
    1.26
    Copyright
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    Reviewed
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    Featured
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    Edited
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     Written
    1.01
    Activations Density 1.113%

    No Known Activations