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

    The neuron detects named entities—proper names of countries, organizations, companies, and similar real‐world proper nouns.

    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
    No Configuration Found
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    Negative Logits
     statewide
    0.84
     downtown
    0.67
     Downtown
    0.65
     campus
    0.65
     Statewide
    0.65
    ical
    0.59
     layoffs
    0.58
    inski
    0.55
     driveway
    0.55
     townhouse
    0.55
    POSITIVE LOGITS
     Germany
    2.45
     Japan
    2.42
     France
    2.39
     Alemanha
    2.39
    Germany
    2.38
    France
    2.36
     Australia
    2.31
    Japan
    2.30
    Australia
    2.30
     Russia
    2.28
    Activations Density 0.995%

    No Known Activations