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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. 8-RES-JB
    11. 8992
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    Explanations

    dates formatted in different ways

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and specific identifiers related to dates and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Few-Token Promoting Features
    Bracket Closing
    •Bracket Closing Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
     guiName
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    etheless
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    ":[{"
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    ãĢIJ
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     (?,
    -0.50
     showc
    -0.50
    ãĢİ
    -0.48
     ."
    -0.48
    Published
    -0.47
    âĶĢâĶĢâĶĢâĶĢ
    -0.45
    POSITIVE LOGITS
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    1.85
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    1.81
    !)
    1.78
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    1.77
    ),
    1.76
    )",
    1.76
    )]
    1.76
    Activations Density 1.560%

    No Known Activations