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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. 6-RES-JB
    11. 14772
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    Explanations

    text related to regulations or structured documents such as paragraphs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific paragraphs or sections within a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.79
    awaru
    -0.71
    ocker
    -0.69
    ereo
    -0.68
    CV
    -0.68
    xon
    -0.67
    ayne
    -0.66
    ENSE
    -0.66
    eus
    -0.65
    asio
    -0.65
    POSITIVE LOGITS
    witz
    1.06
    acters
    0.87
    agraph
    0.86
    paragraph
    0.85
     paragraph
    0.83
    views
    0.77
     paragraphs
    0.74
     commenting
    0.74
     "$:/
    0.71
     subparagraph
    0.69
    Activations Density 0.018%

    No Known Activations