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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
    7. 7844
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    Explanations

    This neuron detects prominent named-entity tokens—particularly proper nouns for places, hotels, organizations, and other title‐like words.

    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_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
    Embeds
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    Negative Logits
    ivin
    0.96
     tutor
    0.81
     producer
    0.80
     beeswax
    0.78
     teacher
    0.75
     renewable
    0.75
     directa
    0.75
    ഹ്ലാദ
    0.75
     seller
    0.75
    ងារ
    0.74
    POSITIVE LOGITS
    goers
    1.41
     имени
    1.03
     імені
    1.02
    Hotel
    0.95
    🏨
    0.90
    مدينة
    0.85
    skyscraper
    0.85
     skyscrapers
    0.84
    位於
    0.84
    ties
    0.83
    Activations Density 2.093%

    No Known Activations