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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. 205
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    INDEX
    Explanations

    capitalized words that appear to be names or titles

    oai_token-act-pair · gpt-3.5-turbo

    names of organizations and notable individuals in various contexts

    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
    anova
    -0.81
    icipated
    -0.69
    idays
    -0.66
    incial
    -0.66
    accompan
    -0.65
    twitter
    -0.64
    comings
    -0.63
    oola
    -0.62
    udeau
    -0.62
    Reviewed
    -0.61
    POSITIVE LOGITS
    ploy
    0.75
     Wonderland
    0.72
     Fortune
    0.72
     coli
    0.71
     Lauder
    0.69
    iencies
    0.68
     Gutierrez
    0.65
     Faust
    0.64
    Sah
    0.62
    hower
    0.62
    Activations Density 0.386%

    No Known Activations