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

    The neuron fires on technical or domain‐specific resource and material nouns (e.g. data, equipment, concrete, fluid, steel, water, food, audio).

    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
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    Negative Logits
     ঘটে
    0.62
    Team
    0.59
    docx
    0.57
    のもの
    0.56
    YT
    0.55
     Graduates
    0.55
    Graduate
    0.55
    เสื้อ
    0.55
    させた
    0.54
     तहत
    0.54
    POSITIVE LOGITS
     consumption
    1.04
     flows
    1.04
     shortages
    0.98
     flowing
    0.95
    flows
    0.91
     collected
    0.89
     provenant
    0.88
     producers
    0.87
     flow
    0.86
     sources
    0.85
    Activations Density 1.859%

    No Known Activations