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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron strongly activates on concrete content nouns—especially object and entity names (e.g. “photographs,” “people,” “houses,” “computers,” etc.).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408

    plural nouns

    np_max-act-logits · claude-4-5-sonnetTriggered by @jrosseruk
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
     unbeaten
    0.71
    ຫຼື
    0.69
     లేదా
    0.69
     หรือ
    0.67
     Odisha
    0.66
     υψη
    0.66
     또는
    0.64
     Bengaluru
    0.64
     Callum
    0.64
     Biden
    0.63
    POSITIVE LOGITS
    どんどん
    0.79
     zacz
    0.77
    animals
    0.70
     appendages
    0.70
     animals
    0.68
    separate
    0.67
     zwier
    0.67
     organelles
    0.66
     শিশুরা
    0.66
     excretion
    0.65
    Activations Density 0.185%

    No Known Activations