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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. 22
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    INDEX
    Explanations

    mentions of significant changes or advancements

    oai_token-act-pair · gpt-3.5-turbo

    references to revolutions and transformative changes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    HUD
    -0.69
    paragraph
    -0.68
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.68
    contact
    -0.66
    ç«
    -0.65
    Lago
    -0.64
    âĢ¢âĢ¢
    -0.63
    epad
    -0.62
    Border
    -0.62
    hunter
    -0.61
    POSITIVE LOGITS
     revolution
    0.98
     revolutions
    0.92
    ĸļ
    0.86
    ocrat
    0.85
    ising
    0.84
     uphe
    0.84
    arily
    0.83
     leaps
    0.83
    xual
    0.80
    naire
    0.79
    Activations Density 0.017%

    No Known Activations