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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. 11-RES-JB
    6. 12749
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    INDEX
    Explanations

    names of universities and countries

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and educational institutions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Db
    -0.74
    anz
    -0.71
    erity
    -0.70
    bol
    -0.70
    uper
    -0.65
    anto
    -0.65
    awed
    -0.63
    ede
    -0.63
    BF
    -0.63
    FG
    -0.62
    POSITIVE LOGITS
     Latvia
    0.80
     Luxembourg
    0.77
     Libertarian
    0.75
     ko
    0.74
     Marlins
    0.74
     Kuwait
    0.73
     Kik
    0.73
     Lithuan
    0.72
     Laos
    0.72
     Kiw
    0.70
    Activations Density 0.153%

    No Known Activations