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    2. Gemma-2-27B
    3. 22-GEMMASCOPE-RES-131K
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    intensifiers followed by descriptors

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron detects degree-intensifying adverbs (e.g. “very,” Chinese 很, Russian много) that modify adjectives or verbs.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_22/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
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    Negative Logits
    tront
    -2.22
    fillment
    -1.91
    aneity
    -1.87
     唯美
    -1.86
    yship
    -1.83
    März
    -1.83
    tifiable
    -1.82
     排骨
    -1.82
     tutur
    -1.81
     特写
    -1.81
    POSITIVE LOGITS
    '
    1.63
    <strong>
    1.61
    ,'
    1.47
     
    1.45
     .
    1.44
    J
    1.43
     rare
    1.41
    有一些
    1.41
    •
    1.39
    H
    1.38
    Activations Density 0.004%

    No Known Activations