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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. 6912
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    INDEX
    Explanations

    mentions of news articles and publications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of articles from various publications

    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
     reintrodu
    -0.73
     teamwork
    -0.70
     refunds
    -0.67
    roo
    -0.65
     leveling
    -0.62
     cleanup
    -0.61
    acca
    -0.60
     balancing
    -0.60
    kind
    -0.59
     conver
    -0.58
    POSITIVE LOGITS
     newspapers
    1.31
     Daily
    1.28
     Gazette
    1.28
     Telegraph
    1.23
     Tribune
    1.20
     Huffington
    1.20
     Herald
    1.19
     newspaper
    1.19
     Journal
    1.18
     tabl
    1.17
    Activations Density 0.432%

    No Known Activations