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    3. Gemma-2-27B
    5. 22-GEMMASCOPE-RES-131K
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    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron fires most strongly on domain-specific content words—i.e. technical or topic-specific nouns rather than common function words.

    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
     Warwickshire
    -0.90
     vê
    -0.81
     tutkim
    -0.79
     zwykle
    -0.77
    ganet
    -0.77
     pasaje
    -0.76
    遇到
    -0.75
    只需要
    -0.74
    assé
    -0.72
    ぉ
    -0.71
    POSITIVE LOGITS
    nji
    0.81
    \,.
    0.79
     Bibel
    0.78
    ╽
    0.78
    咐
    0.76
    erval
    0.75
    禎
    0.74
    尼亚
    0.74
     campfire
    0.73
     litoral
    0.72
    Activations Density 0.124%

    No Known Activations