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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. 2-RES-JB
    11. 15770
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    Explanations

    specific mentions of paragraph numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific paragraphs and footnotes in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.88
    ocker
    -0.79
    lar
    -0.78
    ether
    -0.71
    ges
    -0.70
    roxy
    -0.69
    ebus
    -0.68
    rum
    -0.67
    irt
    -0.67
    eus
    -0.67
    POSITIVE LOGITS
     paragraph
    1.08
    paragraph
    1.03
     paragraphs
    1.02
    witz
    1.01
    agraph
    0.91
    CHAPTER
    0.86
    matical
    0.85
     subparagraph
    0.83
    acters
    0.81
    chapter
    0.76
    Activations Density 0.012%

    No Known Activations