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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. 6-RES-JB
    6. 19514
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    Explanations

    capital letter combinations occurring frequently

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to specific technical or industry terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wagen
    -0.84
    flies
    -0.72
     \'
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    à¼
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     âĢº
    -0.65
    Redditor
    -0.65
    ãĥ£
    -0.64
    utterstock
    -0.63
    uyomi
    -0.60
     {"
    -0.60
    POSITIVE LOGITS
    FS
    0.90
    TF
    0.89
    IS
    0.89
    PS
    0.86
    CA
    0.83
    OP
    0.82
    CC
    0.79
    MN
    0.79
    VO
    0.78
    OS
    0.78
    Activations Density 0.106%

    No Known Activations