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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. 7490
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to various categories and 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
    ĸļ
    -0.96
     Shutterstock
    -0.73
     Archdemon
    -0.67
     Townsend
    -0.64
     Rasmussen
    -0.64
    terday
    -0.64
    hement
    -0.63
     Carnegie
    -0.63
     TNT
    -0.62
     Debor
    -0.62
    POSITIVE LOGITS
     endorsements
    0.79
     categories
    0.79
    related
    0.76
     types
    0.74
     acron
    0.73
     outings
    0.72
     variants
    0.72
     titles
    0.72
     denominations
    0.70
    isations
    0.70
    Activations Density 0.633%

    No Known Activations