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    sentence corrections

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

    The neuron detects verb phrases in the future perfect continuous tense (e.g. “will have been teaching,” Hindi equivalents like “करती रहेगी”).

    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
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    Negative Logits
     within
    0.74
    而在
    0.73
     regionally
    0.73
    各
    0.72
     base
    0.71
    通过
    0.70
     data
    0.70
     해당
    0.70
    并在
    0.70
     non
    0.69
    POSITIVE LOGITS
     фрук
    1.21
     えっと
    1.14
     おい
    1.13
     ぐらい
    1.13
     すご
    1.09
    akespeare
    1.06
     тури
    1.05
    💴
    1.04
    🍡
    1.04
     あなた
    1.03
    Activations Density 0.110%

    No Known Activations