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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    Explanations

    The neuron activates strongly on high-level infrastructure and urban planning keywords (e.g. “urban,” “airport,” “environmental,” “digital”), effectively spotting references to city development and related systems.

    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
     Region
    0.32
     Pion
    0.31
     From
    0.30
     Er
    0.30
     Male
    0.30
     Чер
    0.29
     Не
    0.29
     Ба
    0.29
     Amount
    0.29
     Tari
    0.29
    POSITIVE LOGITS
     shortages
    0.44
     giveaways
    0.43
     disruptions
    0.42
     valuations
    0.41
     inequities
    0.41
     mishaps
    0.41
     closures
    0.41
     shutdowns
    0.41
     confrontations
    0.41
     expansions
    0.40
    Activations Density 4.697%

    No Known Activations