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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. 8-RES-JB
    11. 24053
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    INDEX
    Explanations

    statistics and numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dos
    -0.94
     Hoff
    -0.73
    assetsadobe
    -0.72
     telev
    -0.69
     recorder
    -0.68
     disp
    -0.67
     Ware
    -0.65
     heav
    -0.65
     recl
    -0.64
     voy
    -0.64
    POSITIVE LOGITS
    %
    2.04
    %"
    1.83
    %-
    1.77
    %,
    1.77
    %;
    1.76
    %)
    1.69
    %.
    1.68
    %]
    1.64
    %:
    1.61
    %).
    1.57
    Activations Density 0.061%

    No Known Activations