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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. 7120
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    INDEX
    Explanations

    mentions of specific books, movies, games, and other types of media

    oai_token-act-pair · gpt-3.5-turbo

    references to creators or founders of various media and projects

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -0.64
     vantage
    -0.64
    ":"/
    -0.64
    detail
    -0.64
     unfocusedRange
    -0.62
    istrate
    -0.62
     jurisd
    -0.62
    details
    -0.62
    orthy
    -0.61
    iculty
    -0.61
    POSITIVE LOGITS
     fame
    1.02
     Furious
    0.79
    ®,
    0.76
    !,
    0.70
     trilogy
    0.68
     Trilogy
    0.66
     memes
    0.65
     Believe
    0.65
    netflix
    0.64
    thood
    0.64
    Activations Density 0.350%

    No Known Activations