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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. 3-RES-JB
    11. 9446
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    INDEX
    Explanations

    mentions of revolutionary or groundbreaking ideas, innovations, or movements

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of revolutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HUD
    -0.69
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.67
    WAYS
    -0.65
    Lago
    -0.65
     Spending
    -0.64
    contact
    -0.64
    epad
    -0.63
    paragraph
    -0.61
    lists
    -0.60
    ramer
    -0.60
    POSITIVE LOGITS
     revolution
    0.97
     revolutions
    0.96
    arily
    0.94
    ĸļ
    0.93
    aries
    0.90
    naire
    0.86
    ocrat
    0.85
    aires
    0.84
    aire
    0.84
     uphe
    0.84
    Activations Density 0.016%

    No Known Activations