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    2. Gemma-3-12B
    3. 31-GEMMASCOPE-2-RES-16K
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    Explanations

    This neuron lights up on the “keystone” tokens that carry the backbone of a sentence—common content words (nouns, verbs, punctuation and other high–information tokens) that you’d pick out as the main units when building a summary.

    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
    No Configuration Found
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    Negative Logits
     decommission
    0.83
     refurb
    0.79
     refurbishment
    0.79
     overclock
    0.79
     refurbished
    0.77
     showrooms
    0.77
     업체
    0.77
     decommissioning
    0.73
     betrieb
    0.73
     calculateur
    0.73
    POSITIVE LOGITS
     sentences
    2.30
    句子
    2.30
     sentence
    2.20
     grammatical
    2.03
     Sentence
    2.03
    sentences
    1.98
    Sentence
    1.97
     grammat
    1.95
    sentence
    1.93
     adverb
    1.93
    Activations Density 0.996%

    No Known Activations