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    5. 31-GEMMASCOPE-2-TRANSCODER-262K
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    The neuron is trying to capture transitions or changes in mode of transport or location, particularly when switching between them or before a destination. The presence of transport words (`taxi`, `bikes`) in `MAX_ACTIVATING_TOKENS` and location-related words (`to`, `within`, `near`, `after`, `in`) in `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`, combined with `TOP_POSITIVE_LOGITS` (city names), suggests it's related to travel or movement between places. "change from" in `MAX_ACTIVATING_TOKENS

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-27b-it/transcoder_all/layer_31_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
    Accelerator
    0.42
     Accelerator
    0.40
     Accelerated
    0.38
     accelerated
    0.38
     Tras
    0.37
     Formula
    0.35
     Snack
    0.35
     Comisión
    0.35
     Cru
    0.34
     Savings
    0.34
    POSITIVE LOGITS
     london
    0.49
    London
    0.49
     Jakarta
    0.48
     কলকাতায়
    0.47
    Istanbul
    0.46
     কলকাত
    0.46
    İstanbul
    0.46
     London
    0.45
     Москвы
    0.45
     சென்னைய
    0.45
    Activations Density 0.046%

    No Known Activations