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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. 10815
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    Explanations

    numerical figures or data points in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    references to figures and numerical data

    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
    ecided
    -0.75
     nurs
    -0.70
     affairs
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    aint
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     philosophies
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    ener
    -0.65
     religions
    -0.65
     grief
    -0.65
     outweigh
    -0.65
     tresp
    -0.64
    POSITIVE LOGITS
     largeDownload
    0.81
    Figure
    0.80
     ®
    0.79
     Pie
    0.77
     SAL
    0.71
    ï¸
    0.71
     illustrates
    0.70
    GUI
    0.69
    figure
    0.69
    fig
    0.68
    Activations Density 0.078%

    No Known Activations