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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. 1521
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    Explanations

    code snippets related to handling data and functions in a programming context

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and structural elements in code or text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ghan
    -0.72
    Tube
    -0.71
    amiya
    -0.66
    .–
    -0.64
    ometimes
    -0.64
    zbek
    -0.64
    icultural
    -0.64
    ogie
    -0.62
    ymph
    -0.62
    ochond
    -0.62
    POSITIVE LOGITS
     sizeof
    1.04
     NULL
    1.03
    ...)
    0.99
     false
    0.98
     args
    0.96
     nil
    0.94
     lambda
    0.93
     {
    0.92
     "\
    0.91
     None
    0.91
    Activations Density 0.031%

    No Known Activations