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    3. 31-GEMMASCOPE-2-RES-16K
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    defining relationships between concepts

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

    The neuron fires on uncommon, technical or domain‐specific words (e.g. “inhalation,” “forecasts,” “transport,” “relieve,” “Germany”), effectively detecting specialized terminology.

    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
    sentiment
    0.74
    }\
    0.73
    agriculture
    0.70
    aan
    0.70
    about
    0.69
    بانی
    0.68
    atisme
    0.67
    President
    0.66
    sad
    0.66
    سال
    0.65
    POSITIVE LOGITS
     ponytail
    0.97
     пары
    0.91
     ομά
    0.88
     eukaryotic
    0.86
     rhenium
    0.84
     CpG
    0.84
     камеры
    0.81
     xaxis
    0.80
     polyurethane
    0.80
     câmera
    0.80
    Activations Density 0.000%

    No Known Activations