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    model.eval() vs .train()

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-27b-it/transcoder_all/layer_38_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
    ಾನು
    0.42
    斕
    0.41
    gefunden
    0.39
     vibrancy
    0.39
    ړ
    0.38
    abhäng
    0.38
     публика
    0.38
    emplacement
    0.38
    ূনতম
    0.37
     হুমকি
    0.37
    POSITIVE LOGITS
    Du
    0.41
    File
    0.40
    Cu
    0.40
    Dress
    0.40
     cu
    0.39
    Tra
    0.39
    Be
    0.38
    files
    0.38
     Bron
    0.37
    Bron
    0.37
    Activations Density 0.001%

    No Known Activations