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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. 6-RES-JB
    6. 23635
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    Explanations

    sensitive issues or controversy in a text

    oai_token-act-pair · gpt-3.5-turbo

    indicators of significant issues or warnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.87
    hement
    -0.83
     unprotected
    -0.81
     scrap
    -0.71
     endeav
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     indu
    -0.70
     succumb
    -0.69
     streng
    -0.68
     afloat
    -0.67
     conscious
    -0.67
    POSITIVE LOGITS
    Newsletter
    0.97
    Loading
    0.97
    Wilson
    0.96
    Said
    0.95
    Official
    0.94
    Posted
    0.93
    SPONSORED
    0.90
    Comment
    0.90
    Anonymous
    0.88
    Trivia
    0.87
    Activations Density 0.197%

    No Known Activations