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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
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    languages and technical terms

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

    The neuron responds to content‐bearing tokens—proper names, specialized nouns, numbers, and technical jargon—highlighting rare or salient terms in the text.

    oai_token-act-pair · o4-mini
    Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
    Embeds
    IFrame
    Link
    Negative Logits
    的三
    0.72
     viviendas
    0.70
     ofert
    0.69
     Świę
    0.69
     akhir
    0.68
     noticias
    0.67
     Ελλάδα
    0.67
     ottenuto
    0.66
     indicó
    0.66
     instituciones
    0.66
    POSITIVE LOGITS
     Language
    0.72
     reptile
    0.66
     Grammar
    0.66
    Language
    0.64
     Lex
    0.63
     lexical
    0.62
     Linen
    0.62
     syntax
    0.60
     lex
    0.60
     fontFamily
    0.59
    Activations Density 2.847%

    No Known Activations