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

    The neuron detects abstract, bureaucratic nouns—especially policy, funding, or intervention terms (e.g. “spending,” “power,” “intervention,” “prevention”).

    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
     archivo
    0.75
     belieb
    0.71
    おります
    0.70
    Violation
    0.70
     violate
    0.69
     violates
    0.69
     Violation
    0.68
     statunitense
    0.68
    ().
    0.68
     semblable
    0.67
    POSITIVE LOGITS
     новых
    1.05
     underpinned
    1.04
     dodgy
    1.03
     carers
    1.00
     modernisation
    1.00
     programmes
    1.00
     underpin
    0.99
     failings
    0.98
     pembangunan
    0.95
     reforms
    0.95
    Activations Density 0.007%

    No Known Activations