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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. 3-RES-JB
    11. 17250
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    INDEX
    Explanations

    opening paragraphs in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to numbered paragraphs and sections in a document

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    eer
    -0.81
    ocker
    -0.74
    ropolitan
    -0.72
    eus
    -0.68
    ebus
    -0.65
    CV
    -0.64
    waukee
    -0.64
    essor
    -0.63
    xon
    -0.63
    Guard
    -0.63
    POSITIVE LOGITS
    witz
    0.97
     paragraph
    0.94
    paragraph
    0.94
     paragraphs
    0.90
    matical
    0.86
    agraph
    0.84
    acters
    0.83
     subparagraph
    0.79
    CHAPTER
    0.75
     subsections
    0.74
    Activations Density 0.010%

    No Known Activations