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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron fires on concrete nouns naming places, attractions, amenities, and other key items in travel-and-leisure or promotional descriptions.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
     posteriormente
    0.70
     prophylactic
    0.67
     WHICH
    0.64
     generell
    0.61
     ilegal
    0.60
     상당히
    0.60
     airports
    0.59
     unauthorised
    0.59
     incipient
    0.59
     inmediatamente
    0.59
    POSITIVE LOGITS
     amid
    0.95
    amid
    0.91
     amidst
    0.87
    Amid
    0.84
    Among
    0.81
     Amid
    0.81
     among
    0.79
     while
    0.78
    while
    0.77
     tandis
    0.73
    Activations Density 0.323%

    No Known Activations