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    financial transactions and investments

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

    The neuron strongly activates on ordinary English words (especially function words like “which,” “allow,” “an,” “to,” etc.) when they occur in explanatory financial‐instrument text—i.e. it flags sentences defining or describing financial futures/trading.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_34/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    MING
    -0.90
     люб
    -0.85
     radius
    -0.84
     kwiaty
    -0.84
    伸手
    -0.79
    ciech
    -0.79
    zzlement
    -0.78
     συγκ
    -0.78
    endwhile
    -0.77
     fue
    -0.77
    POSITIVE LOGITS
     underlying
    1.29
     obligation
    1.21
     ownership
    1.01
     obligations
    0.97
     seller
    0.97
     settlement
    0.97
     Delivery
    0.94
    笑了笑
    0.94
     buyer
    0.91
     enrique
    0.90
    Activations Density 0.031%

    No Known Activations