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    2. Gemma-3-12B
    3. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron lights up on mid‐sequence content words—especially less frequent, information‐rich tokens like nouns, verbs, numerals, or list markers (e.g. “half,” “lawsuit,” “1:,” “students”).

    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
    ayutt
    0.94
    arrerol
    0.93
     fabriqu
    0.92
     asalamualaikum
    0.91
     nadzie
    0.85
    ⺈
    0.84
    thione
    0.82
    函数
    0.81
    ್ಣ
    0.81
     deseo
    0.81
    POSITIVE LOGITS
    ُ
    0.67
     Illuminated
    0.67
     expecting
    0.66
     expected
    0.66
     student
    0.65
    Tube
    0.65
     accl
    0.64
    Blue
    0.64
     legacy
    0.64
     Convex
    0.62
    Activations Density 0.000%

    No Known Activations