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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. 1-RES-JB
    11. 3616
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rated
    -0.67
    angan
    -0.66
     foul
    -0.66
    bey
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     Exit
    -0.63
     Highly
    -0.62
    INTON
    -0.62
     purity
    -0.62
     KE
    -0.62
    CHAT
    -0.62
    POSITIVE LOGITS
    fig
    1.42
    figure
    1.39
    uration
    1.10
    figured
    1.03
    table
    0.90
    lisher
    0.89
    urations
    0.88
    lio
    0.87
    uring
    0.87
     rall
    0.85
    Activations Density 0.006%

    No Known Activations