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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron selectively fires on semantically rich “content” words—key technical terms, metrics, and strong verbs—rather than on common function words.

    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_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    businessman
    0.81
     również
    0.73
     trening
    0.72
     COLLEGE
    0.72
     unsuccessfully
    0.71
     Counselor
    0.71
     BUDGET
    0.70
     laborer
    0.68
     행복
    0.68
     fomentar
    0.68
    POSITIVE LOGITS
     behaves
    0.82
     behaviours
    0.82
     behaviour
    0.77
     behave
    0.76
     reproducibility
    0.75
    otipi
    0.75
     syndromes
    0.73
     diverges
    0.73
     invariably
    0.72
     invariants
    0.72
    Activations Density 0.578%

    No Known Activations