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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19828
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    Explanations

    questions or statements involving someone being asked about a specific topic

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "asked" indicating inquiries or requests for information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    marine
    -0.68
     Confeder
    -0.63
    Right
    -0.62
    Sham
    -0.62
    Est
    -0.62
    rats
    -0.61
     Cock
    -0.61
    bows
    -0.61
    Liber
    -0.60
    ARM
    -0.60
    POSITIVE LOGITS
     rhet
    1.03
     asked
    0.91
    govtrack
    0.89
    naires
    0.84
     questions
    0.83
    ioned
    0.82
     permission
    0.79
     probing
    0.77
     questioned
    0.77
     repeatedly
    0.74
    Activations Density 0.018%

    No Known Activations