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

    The neuron fires strongly on semantically rich content words (nouns, verbs, adjectives, and other key topic‐bearing tokens) rather than on 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
     differences
    0.91
    Elems
    0.89
     nouns
    0.89
     elements
    0.88
     legislatures
    0.86
     COMPONENTS
    0.86
     groups
    0.84
     molecules
    0.84
     difficulties
    0.84
     treatises
    0.84
    POSITIVE LOGITS
    sequently
    1.00
    因此
    0.93
    จึง
    0.92
    resulting
    0.89
    therefore
    0.88
    de
    0.86
     Somit
    0.86
    thus
    0.85
    所以
    0.85
    nên
    0.84
    Activations Density 6.327%

    No Known Activations