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    language used in formal documents

    oai_token-act-pair · gemini-2.0-flash

    accurate Method number 1, but I could not find any true pattern

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
     MessageBoxIcon
    -0.46
     Theore
    -0.46
     sat
    -0.44
    inquirer
    -0.44
     vừa
    -0.43
     кӀ
    -0.42
    parametrize
    -0.42
     integrados
    -0.42
    setState
    -0.42
    новить
    -0.42
    POSITIVE LOGITS
    AutoScale
    0.85
    GEBURTSDATUM
    0.81
     disambiguazione
    0.79
    Autoritní
    0.79
     beginnetje
    0.73
     Roskov
    0.73
    LookAnd
    0.70
    $_['
    0.69
    Geplaatst
    0.69
     JpaRepository
    0.69
    Activations Density 4.816%

    No Known Activations