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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. 279
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    Explanations

    names and surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    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
     miscarriage
    -0.61
     Velvet
    -0.59
     dawn
    -0.59
     Serial
    -0.58
    bound
    -0.58
    wcs
    -0.56
     Polaris
    -0.55
    Bound
    -0.54
     Werewolf
    -0.54
     Costco
    -0.54
    POSITIVE LOGITS
    enegger
    1.21
    zyk
    0.86
    baum
    0.85
    sson
    0.80
    orst
    0.80
    jen
    0.80
    udeau
    0.79
    ouf
    0.79
    reau
    0.78
    kson
    0.75
    Activations Density 0.255%

    No Known Activations