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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. 11-RES-JB
    6. 17912
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    INDEX
    Explanations

    names of sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and formatting in lists or player statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rational
    -0.66
    cooked
    -0.66
    lé
    -0.62
     planners
    -0.62
     feminists
    -0.62
    olog
    -0.61
    sth
    -0.60
    odes
    -0.60
    ilogy
    -0.59
     therap
    -0.58
    POSITIVE LOGITS
     Jake
    1.32
     Nate
    1.30
     Willie
    1.29
     Trey
    1.28
     Kyle
    1.28
     Zach
    1.27
     Cody
    1.27
     Conor
    1.23
     Gabe
    1.23
     Shane
    1.23
    Activations Density 0.117%

    No Known Activations