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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. 8-RES-JB
    6. 18078
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -1.10
     Borders
    -0.73
     cider
    -0.72
    ederal
    -0.69
    IFE
    -0.66
     Dayton
    -0.64
     Judges
    -0.63
     Differences
    -0.63
     Difference
    -0.63
     Governors
    -0.62
    POSITIVE LOGITS
    ming
    1.42
    mer
    1.23
    mers
    1.02
    ulent
    1.00
    pering
    1.00
    crow
    0.99
    my
    0.95
    pling
    0.91
    vertising
    0.89
    bara
    0.89
    Activations Density 0.074%

    No Known Activations