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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. 16868
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    Explanations

    statements or quotations with a strong or definitive tone

    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate the conclusion of statements or thoughts

    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
     challeng
    -0.85
     glim
    -0.83
     volunte
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     gobl
    -0.80
     mosqu
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     economical
    -0.77
     affili
    -0.77
    duct
    -0.77
     extinct
    -0.76
     spons
    -0.75
    POSITIVE LOGITS
     Asked
    1.40
     Hannity
    1.32
     Speaking
    1.25
     Priebus
    1.24
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     Huckabee
    1.24
     Limbaugh
    1.22
    Trump
    1.20
     Gingrich
    1.17
     Spicer
    1.17
    Activations Density 0.337%

    No Known Activations