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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. 3-RES-JB
    11. 23424
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    INDEX
    Explanations

    words related to the action of printing or being printed

    oai_token-act-pair · gpt-3.5-turbo

    references to printed materials or publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hart
    -0.89
    hov
    -0.83
    ibur
    -0.77
     Ashton
    -0.74
    htar
    -0.73
    rolet
    -0.73
    emouth
    -0.71
    cept
    -0.71
    alid
    -0.69
    asio
    -0.69
    POSITIVE LOGITS
     printing
    1.05
     printed
    0.97
     Printed
    0.94
     prints
    0.89
     Printing
    0.89
     print
    0.88
     Seym
    0.86
     printers
    0.85
     printer
    0.84
    Print
    0.83
    Activations Density 0.013%

    No Known Activations