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

    The neuron fires strongly on single-word common nouns (e.g. measurement, income, system, feature, key, response, service).

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

    similar/comparable

    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
     presentes
    0.52
     phenomena
    0.43
    quel
    0.43
     restantes
    0.41
     tivemos
    0.41
    の原因
    0.40
     rivers
    0.39
     tiveram
    0.39
     portions
    0.39
     vengono
    0.39
    POSITIVE LOGITS
     ähnlich
    0.67
     która
    0.57
    媲
    0.57
     similaire
    0.57
     که
    0.56
     ähn
    0.56
     비슷
    0.56
     которая
    0.53
     THAT
    0.53
    类似于
    0.53
    Activations Density 0.000%

    No Known Activations