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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. 9-RES-JB
    11. 3483
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    keywords related to online media content, news, and government information

    oai_token-act-pair · gpt-3.5-turbo

    references to news stories, media content, and social media interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     spons
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     viz
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     Advertisement
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     learners
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     virtues
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     mathematic
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    otin
    -0.57
     designers
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     Premiere
    -0.56
    leigh
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    POSITIVE LOGITS
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    manager
    0.60
     ILCS
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    ICES
    0.59
     Airbnb
    0.59
    Activations Density 0.094%

    No Known Activations