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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. 10-RES-JB
    6. 23668
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    INDEX
    Explanations

    mentions of spending time or making calculations

    oai_token-act-pair · gpt-3.5-turbo

    quantitative or numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mankind
    -0.51
     raping
    -0.49
     bathing
    -0.48
     virginity
    -0.47
     Temper
    -0.47
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.46
     homosexuality
    -0.45
     highs
    -0.45
     foreigners
    -0.45
     husbands
    -0.44
    POSITIVE LOGITS
    ascript
    0.66
    endum
    0.54
    endix
    0.48
    arching
    0.48
    EEK
    0.46
    disciplinary
    0.46
     methodological
    0.45
    emonium
    0.44
    rences
    0.43
    ciplinary
    0.43
    Activations Density 2.720%

    No Known Activations