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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 7170
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    INDEX
    Explanations

    programming instructions related to software development and documentation structures

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and references to documents or articles

    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
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    Negative Logits
     champ
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    -0.72
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    POSITIVE LOGITS
     Introduction
    1.52
    Introduction
    1.51
     Conclusion
    1.43
     Definitions
    1.40
     References
    1.32
     Overview
    1.30
    Overview
    1.29
     Discussion
    1.26
     Basics
    1.26
     Principles
    1.22
    Activations Density 0.377%

    No Known Activations