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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. 9-RES-JB
    6. 12721
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    INDEX
    Explanations

    programming code snippets and function calls

    oai_token-act-pair · gpt-3.5-turbo

    elements related to programming and code structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chest
    -0.67
     coinc
    -0.63
     Thurs
    -0.61
     inaccur
    -0.61
     dated
    -0.60
     allegiance
    -0.59
     Metall
    -0.57
    asia
    -0.57
     virginity
    -0.57
    aucas
    -0.56
    POSITIVE LOGITS
    Output
    1.05
    endif
    1.04
     =================================================================
    0.92
    Conclusion
    0.90
     Conclusion
    0.89
    ////////////////////////////////
    0.89
     /**
    0.88
    RAW
    0.88
    fn
    0.86
    ////////////////
    0.86
    Activations Density 0.097%

    No Known Activations