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    Freecash, Linux, Renault

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron fires strongly on multi‐character fragments of proper names and technical jargon—that is, it identifies domain‐specific named entities and specialized terms.

    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
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    (?)
    0.77
    j
    0.72
    ！
    0.63
    Moscow
    0.63
    ub
    0.61
    Synced
    0.61
    chand
    0.60
     Russia
    0.59
    Names
    0.59
    rival
    0.59
    POSITIVE LOGITS
    本身的
    0.87
     basics
    0.73
     vulgaris
    0.73
    全体の
    0.72
    本身
    0.70
     proprement
    0.69
     seluruh
    0.69
    ஸின்
    0.69
    ંમે
    0.69
     자체가
    0.68
    Activations Density 1.074%

    No Known Activations