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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. 11-RES-JB
    6. 4329
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    INDEX
    Explanations

    informative statements or explanations

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases indicating the provision of information or summaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Initialized
    -0.77
    azo
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    doms
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    mare
    -0.68
    assault
    -0.68
    psc
    -0.66
    LINE
    -0.64
    amphetamine
    -0.64
    AME
    -0.64
    ahu
    -0.63
    POSITIVE LOGITS
     examples
    1.24
     insights
    1.16
     insight
    1.12
     explanations
    1.11
     detailed
    1.09
     links
    1.07
     insightful
    1.03
     concise
    1.03
     pointers
    1.03
     descriptions
    1.02
    Activations Density 0.246%

    No Known Activations