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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    instances of hedging, politeness and indirect speech

    oai_token-act-pair · gemini-2.0-flash

    to

    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
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flies
    -0.50
    RuleContext
    -0.47
     CURIAM
    -0.47
     defeats
    -0.46
     ơn
    -0.44
     بگیرید
    -0.44
    as
    -0.43
     balanceOf
    -0.43
     Flying
    -0.43
     fools
    -0.43
    POSITIVE LOGITS
    Personendaten
    0.84
     nahilalakip
    0.74
     تضيفلها
    0.67
    ValueStyle
    0.66
    adpleegd
    0.65
     وتسجيلات
    0.62
     propOrder
    0.60
     autorytatywna
    0.60
    تقاوى
    0.59
     MainAxisSize
    0.58
    Activations Density 2.841%

    No Known Activations