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

    The neuron is looking for low‐frequency, content‐bearing nouns or proper names—that is, distinctive, topic‐specific terms (e.g. “penalty,” “negotiations,” “Pidgey,” “pre‐takeoff checklist,” etc.) that signal a shift into a particular subject.

    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
     millennials
    0.93
     Millennials
    0.85
     foodie
    0.82
     hoodies
    0.80
    比如
    0.79
     impactful
    0.79
     कैरी
    0.77
     boho
    0.75
     alakalı
    0.75
     cropland
    0.75
    POSITIVE LOGITS
    誣
    0.82
    准备
    0.79
     ("
    0.77
    Однако
    0.76
     azonban
    0.75
     preparatory
    0.75
     began
    0.74
     instruct
    0.74
     തയ്യാ
    0.74
    CONDUCT
    0.73
    Activations Density 0.133%

    No Known Activations