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    3. Gemma-3-12B
    5. 24-GEMMASCOPE-2-RES-16K
    7. 9987
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    Explanations

    The neuron strongly fires on longer, content‐rich tokens (e.g. multi-syllabic technical terms or proper nouns), effectively detecting lengthy, topic‐specific vocabulary.

    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
    No Configuration Found
    Embeds
    IFrame
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    Negative Logits
     heartwarming
    1.05
     crowdfunding
    1.00
     injustices
    0.99
     inclusivity
    0.98
     Vitória
    0.96
     tranquilidad
    0.96
     YouTuber
    0.96
     captivating
    0.95
     Odisha
    0.95
     Rohingya
    0.94
    POSITIVE LOGITS
    Westinghouse
    0.87
    IBM
    0.86
    l
    0.82
     Westinghouse
    0.82
    p
    0.80
    esign
    0.79
    t
    0.77
    py
    0.73
    IO
    0.73
    API
    0.73
    Activations Density 17.515%

    No Known Activations