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    sentences containing a high number of medical terms in scientific writing or abstracts

    oai_token-act-pair · gemini-2.0-flash

    the

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_20/width_16k/average_l0_11
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.52
    Schedulers
    -0.51
    *>(
    -0.51
    sop
    -0.50
    вЂ
    -0.47
    HOC
    -0.44
     Siamo
    -0.43
     rouleau
    -0.43
    DataSetChanged
    -0.42
     Cracker
    -0.42
    POSITIVE LOGITS
    :✨
    0.77
     виправивши
    0.76
    StoryboardSegue
    0.69
    invokeLater
    0.65
    RUnlock
    0.64
     الحره
    0.63
    Einzelnachweise
    0.63
    interopRequire
    0.61
    fromnode
    0.60
    Tembelea
    0.60
    Activations Density 2.430%

    No Known Activations