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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. 8681
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    Explanations

    mentions of the name "Harris" in varying contexts

    oai_token-act-pair · gpt-3.5-turbo
    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
    nces
    -0.73
    rious
    -0.71
    zzi
    -0.69
    eers
    -0.64
    erous
    -0.63
     privilege
    -0.60
    rous
    -0.60
    lihood
    -0.59
    unal
    -0.59
    uers
    -0.58
    POSITIVE LOGITS
    burg
    1.39
    burgh
    1.01
    mann
    0.97
    abis
    0.92
    bury
    0.89
    acre
    0.89
    alez
    0.88
    bach
    0.88
    laughter
    0.86
    kins
    0.85
    Activations Density 0.020%

    No Known Activations