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    language model

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

    The neuron fires strongly on low‐frequency, domain-specific tokens—e.g. proper names, brand names, technical terms, and other rare words.

    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
    No Configuration Found
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    Negative Logits
     '\''
    0.56
    \".
    0.55
     തല
    0.53
    ട്ടില്ല
    0.51
     minat
    0.51
    ೀವ
    0.51
     pellets
    0.50
    pov
    0.50
     pukul
    0.49
     রশ্ম
    0.49
    POSITIVE LOGITS
    happ
    0.53
     realización
    0.52
    哋
    0.51
    erade
    0.51
    और
    0.50
     کیلوم
    0.50
    ườ
    0.50
    を使った
    0.50
    ToMany
    0.49
    改造
    0.49
    Activations Density 0.394%

    No Known Activations