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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. 6077
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    INDEX
    Explanations

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numbers used in various contexts

    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
     incent
    -0.87
    undai
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     neighb
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    ouble
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     livest
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     outsourcing
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     waive
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     ende
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    terday
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     bargain
    -0.62
    POSITIVE LOGITS
    Contents
    1.34
    rawdownloadcloneembedreportprint
    1.15
    âĵĺ
    1.10
    Trivia
    1.05
    pmwiki
    1.03
    Synopsis
    1.03
    Overview
    0.95
    References
    0.94
    Usage
    0.94
    Appearance
    0.93
    Activations Density 0.233%

    No Known Activations