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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. 7-RES-JB
    6. 1370
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    Explanations

    specific references to product releases or launch dates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to product release information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.71
    igsaw
    -0.67
    isma
    -0.66
    MpServer
    -0.64
    icist
    -0.63
    iott
    -0.62
    eric
    -0.62
    ophe
    -0.61
     Fi
    -0.61
     deduct
    -0.61
    POSITIVE LOGITS
     date
    1.01
    date
    0.99
    dates
    0.96
    release
    0.78
    pad
    0.76
     Date
    0.75
    Date
    0.75
    ãĥĭ
    0.73
     dates
    0.73
     Release
    0.72
    Activations Density 0.038%

    No Known Activations