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    training code examples

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

    The neuron preferentially activates on mid-frequency content words—common but not ultra-common function words (e.g. tokens like “there,” “Israel,” “day,” “my,” “their,” “education,” etc.).

    oai_token-act-pair · o4-mini
    Triggered 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
    Embeds
    IFrame
    Link
    Negative Logits
     asas
    0.86
     Organisations
    0.84
     Organizations
    0.82
    ioen
    0.81
     নেতা
    0.81
     রয়েছে
    0.80
     conosco
    0.80
     Seesaw
    0.79
     direto
    0.78
     lequel
    0.76
    POSITIVE LOGITS
    or
    0.80
    r
    0.76
    a
    0.75
    Chand
    0.73
    Radius
    0.72
    Hend
    0.71
    Со
    0.71
    New
    0.71
    Чу
    0.70
    Ро
    0.69
    Activations Density 0.000%

    No Known Activations