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

    The neuron fires strongly on words from formal documentation or guideline excerpts—especially content‐heavy technical or policy phrases (e.g. “enterprise,” “class,” “database,” “point,” “time,” “recovery,” “avoid,” “asking,” “subjective,” etc.). It’s essentially spotting jargon‐laden, documentation-style noun phrases.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_22/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    èlement
    -1.00
     solch
    -0.99
     vícti
    -0.98
    Seni
    -0.92
     perdagangan
    -0.88
    ۟
    -0.88
     گا
    -0.88
    斯的
    -0.87
     fometimes
    -0.87
     haupts
    -0.86
    POSITIVE LOGITS
     colgantes
    0.99
     universitaire
    0.96
    Although
    0.93
     ...
    0.92
     religieux
    0.92
     …
    0.91
     Procu
    0.88
    During
    0.88
    Others
    0.88
    ө
    0.87
    Activations Density 0.054%

    No Known Activations