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    2. Gemma-3-12B
    3. 31-GEMMASCOPE-2-RES-16K
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    The neuron lights up on uncommon, content-bearing tokens—especially proper names, acronyms, step/figure/section numbers, and technical terms—i.e. the “important” or domain-specific words in a passage.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    ccoli
    0.61
    ంలోని
    0.59
    ↵↵↵↵↵↵↵↵↵↵↵↵↵
    0.58
    adrenergic
    0.58
    」、「
    0.57
    ┊
    0.57
    geschossiges
    0.56
    ysets
    0.55
    లలో
    0.55
    (!
    0.55
    POSITIVE LOGITS
     Interestingly
    0.66
     NOTE
    0.66
     ibid
    0.65
     Ibid
    0.64
     interestingly
    0.62
    こちらも
    0.62
     Nota
    0.60
     şeklinde
    0.60
     šte
    0.59
     ප්‍ර
    0.58
    Activations Density 0.707%

    No Known Activations