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    Explanations

    towns, markets, and places

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron selectively fires on tokens that are parts of proper names, place names, and numeric identifiers (e.g. dates, street numbers, postcodes).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_34/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
    Embeds
    IFrame
    Link
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    Negative Logits
     Brighton
    -0.89
     Zha
    -0.77
    牍
    -0.75
    ownik
    -0.74
     термина
    -0.73
    の説明
    -0.73
     Metropolitan
    -0.73
     Toxic
    -0.73
    Huge
    -0.72
     Sheffield
    -0.72
    POSITIVE LOGITS
     town
    1.93
     Town
    1.35
     market
    1.30
    Town
    1.25
     Market
    1.14
     TOWN
    1.08
     Station
    1.00
     towns
    0.98
    Market
    0.92
     station
    0.87
    Activations Density 0.070%

    No Known Activations