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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    sentences containing the words "to" and "body" in the context of health.

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     Wikimédia
    -0.50
     دیکھیے
    -0.50
    poto
    -0.50
     समीक्षक
    -0.48
     közé
    -0.47
    reszcie
    -0.47
    stdc
    -0.47
    berdayakan
    -0.46
     امريكا
    -0.46
     الحره
    -0.44
    POSITIVE LOGITS
     <<<<<<<<<<<<<<
    0.67
     kasarigan
    0.66
    esModule
    0.62
    WithIOException
    0.61
     synthesize
    0.59
    EndProject
    0.59
    jsxFileName
    0.59
     Référence
    0.58
    ьаж
    0.58
    archiviato
    0.57
    Activations Density 4.927%

    No Known Activations