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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20307
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    Explanations

    keywords related to caching and technical terms like "cached", "caching", "cache provider", and "loader"

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical injuries or ailments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ativity
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     stocking
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    yss
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    icky
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    otype
    -0.63
     withd
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     agon
    -0.63
    ickers
    -0.63
    iosyncr
    -0.63
    atively
    -0.63
    POSITIVE LOGITS
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    0.81
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    0.79
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    0.74
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    0.72
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    0.72
    itect
    0.71
    stal
    0.69
    baugh
    0.68
    meyer
    0.67
    fork
    0.67
    Activations Density 0.030%

    No Known Activations