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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. 7016
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    Explanations

    mentions of specific universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ppings
    -0.77
    ãĥĸ
    -0.71
    ãĥİ
    -0.69
    wcsstore
    -0.69
    ::::::::
    -0.65
    idate
    -0.64
    digit
    -0.63
    ï¸ı
    -0.63
    ghazi
    -0.61
    ãĤº
    -0.61
    POSITIVE LOGITS
     Libraries
    1.09
     Hospital
    1.02
     School
    1.01
     Extension
    0.99
     College
    0.95
     campuses
    0.92
     Medical
    0.91
     Press
    0.91
     campus
    0.88
    uates
    0.86
    Activations Density 0.043%

    No Known Activations