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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
    7. 2010
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    Explanations

    The neuron strongly responds to mentions of financial institutions and legal‐regulatory terms (e.g. banks, legal entities, margin requirements, collateral, phases of rule rollouts).

    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
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    Negative Logits
     شاعر
    0.85
    avacanam
    0.85
     اعز
    0.84
     Elektrokh
    0.84
     Militar
    0.84
     체험
    0.82
    经费
    0.81
    hattisgarh
    0.80
    agamanam
    0.80
     儿童
    0.80
    POSITIVE LOGITS
     liquidity
    1.98
     securities
    1.71
     hedging
    1.70
     Securities
    1.58
     금융
    1.57
     hedge
    1.56
     bankers
    1.53
     issuers
    1.49
     banking
    1.48
     fintech
    1.48
    Activations Density 1.362%

    No Known Activations