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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. 9-RES-JB
    11. 24317
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    INDEX
    Explanations

    sentences or phrases that are part of a written dialogue

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating timelines or expectations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    .#
    -0.77
    votes
    -0.72
     Oath
    -0.71
    aired
    -0.71
    Synopsis
    -0.70
    ãĤ´ãĥ³
    -0.69
     Whedon
    -0.68
     "#
    -0.67
     Dear
    -0.67
    .).
    -0.67
    POSITIVE LOGITS
     [
    1.27
     anecd
    1.12
     ['
    0.99
    ecd
    0.96
    ,"
    0.87
     really
    0.87
     mathemat
    0.86
     basically
    0.85
    assic
    0.83
    ,''
    0.82
    Activations Density 0.859%

    No Known Activations