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    5. 2-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "powder" and, less strongly, words related to health professionals

    oai_token-act-pair · gemini-2.0-flash

    powder

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_2/width_16k/average_l0_49
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    <bos>
    -0.77
    ${
    -0.55
    expandindo
    -0.54
     الإنترنت
    -0.54
     насељу
    -0.52
     gawas
    -0.52
     powder
    -0.48
     Paglinawan
    -0.48
     للاسماء
    -0.47
    发表于
    -0.46
    POSITIVE LOGITS
     Referential
    0.66
     Baskets
    0.64
     JUDGMENT
    0.63
    AttributeSet
    0.62
    andExpect
    0.60
    hank
    0.60
     GOVERN
    0.60
     Governing
    0.59
     AttributeSet
    0.59
     NgModule
    0.58
    Activations Density 0.969%

    No Known Activations