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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. 0-RES-JB
    11. 5041
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    INDEX
    Explanations

    section headers and summaries

    oai_token-act-pair · gpt-3.5-turbo

    summaries and conclusions within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bins
    -0.67
     wheelchair
    -0.65
     alien
    -0.65
     torch
    -0.64
     filmmaker
    -0.64
     brist
    -0.64
     humanities
    -0.62
    lash
    -0.62
     franc
    -0.61
     tagging
    -0.61
    POSITIVE LOGITS
    Summary
    2.97
    Conclusion
    2.28
     Conclusion
    1.91
    Background
    1.84
     Summary
    1.78
    CONCLUS
    1.33
    endez
    1.28
    Overview
    1.25
    Bottom
    1.13
    Effects
    1.09
    Activations Density 0.063%

    No Known Activations