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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    The neuron responds strongly to punctuation tokens—especially commas, semicolons, and question marks—marking sentence boundaries.

    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
    Embeds
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    Negative Logits
     باشید
    0.42
    рёх
    0.40
     रहो
    0.38
     रखो
    0.35
     खींचो
    0.33
    центри
    0.32
     அவனே
    0.32
     गर्नुहोस्
    0.32
    ="#!"
    0.31
    быз
    0.31
    POSITIVE LOGITS
     Does
    1.60
    Does
    1.52
     does
    1.36
    does
    1.20
     Is
    1.19
     Are
    1.14
     Would
    1.13
     Did
    1.13
     What
    1.10
     Could
    1.10
    Activations Density 1.337%

    No Known Activations