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    3. 24-GEMMASCOPE-2-RES-16K
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    np_acts-logits-general · gemini-2.5-flash-lite

    This neuron responds to content-bearing words (not common function words), especially longer or less frequent vocabulary tokens like “cancel,” “manufacturer,” “standing,” “steps,” etc.

    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
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    Negative Logits
     Have
    0.82
     Diagnose
    0.79
     KeyError
    0.78
     Nomination
    0.78
     Distress
    0.77
     Monitoring
    0.77
     Listed
    0.75
     Forecasting
    0.75
    دى
    0.74
     Gen
    0.73
    POSITIVE LOGITS
    ін
    0.88
    ре
    0.87
    ଲା
    0.83
    вая
    0.81
    しい
    0.76
     pura
    0.75
    рай
    0.75
    нів
    0.75
    рі
    0.73
    存于互联网档案馆
    0.73
    Activations Density 0.000%

    No Known Activations