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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. 7-RES-JB
    11. 8493
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    Explanations

    words or phrases related to formatting or section breaks in a document

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    abouts
    -0.88
    racuse
    -0.75
     photographed
    -0.73
    abwe
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    hement
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     recorded
    -0.68
     amph
    -0.67
    artney
    -0.67
     commemor
    -0.67
     earthqu
    -0.67
    POSITIVE LOGITS
    Conclusion
    1.27
    CONCLUS
    1.18
    Recommend
    1.13
    Pros
    0.98
    Consider
    0.98
    pmwiki
    0.97
    Example
    0.96
    Examples
    0.94
    Tact
    0.94
    Ultimately
    0.94
    Activations Density 0.498%

    No Known Activations