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    3. Gemma-2-27B
    5. 22-GEMMASCOPE-RES-131K
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    before following proper nouns

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

    The neuron detects structural tokens typical of bibliographic citations (e.g. “In,” colons, editor/publication markers).

    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
    Embeds
    IFrame
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    Negative Logits
    Peut
    -1.06
     pronto
    -1.06
    Avez
    -1.01
    chilas
    -0.97
     anún
    -0.96
    Quoi
    -0.96
     sekarang
    -0.96
    They
    -0.95
     Bolsonaro
    -0.95
    Quais
    -0.94
    POSITIVE LOGITS
     (
    1.45
     nô
    1.13
     Besten
    1.03
     např
    1.02
    avaş
    0.98
     място
    0.97
     различни
    0.96
     sembler
    0.96
     seulement
    0.95
    Straße
    0.93
    Activations Density 0.005%

    No Known Activations