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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. 17948
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    Explanations

    technical terms related to different areas such as design, technology, and logistics

    oai_token-act-pair · gpt-3.5-turbo

    references to visual media or packaging details

    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
     oun
    -0.99
     eleph
    -0.99
     spir
    -0.92
     gestation
    -0.91
     ranged
    -0.87
     metic
    -0.87
     crumble
    -0.85
     oppressed
    -0.85
     scrambling
    -0.85
     range
    -0.85
    POSITIVE LOGITS
    License
    1.88
    Conclusion
    1.84
    Advertisements
    1.77
    Trivia
    1.76
    Other
    1.75
    Mis
    1.75
    Optional
    1.72
    References
    1.72
    Additional
    1.70
    Various
    1.69
    Activations Density 0.234%

    No Known Activations