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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. 1-RES-JB
    11. 5340
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    Explanations

    keywords related to paragraphs in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to paragraphs and sections in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.74
    ipal
    -0.71
    ocker
    -0.71
    rosse
    -0.67
    ella
    -0.64
    ges
    -0.64
    eus
    -0.62
    irt
    -0.62
    roe
    -0.61
     Pra
    -0.61
    POSITIVE LOGITS
    paragraph
    1.22
     paragraph
    1.17
     paragraphs
    1.11
    agraph
    1.10
    witz
    0.97
     subparagraph
    0.87
    matical
    0.82
    chapter
    0.80
     Coffin
    0.78
    CHAPTER
    0.75
    Activations Density 0.007%

    No Known Activations