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    listing and enumeration

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

    The neuron selectively fires on subword tokens that form specialized technical or domain-specific jargon (e.g. biomedical terms like “angiogenesis,” gaming names like “Inklings,” telecom terms like “ringtones,” betting terms like “exacta,” programming identifiers like “kubectx,” etc.).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408

    technical or specialized terms, particularly compound words or terms from scientific, medical, and technical domains.

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    rare, specialized domain-specific terms and jargon (including technical subwords and proper-noun fragments)

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_22/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
    Embeds
    IFrame
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    Not in Any Lists

    No Comments

    Negative Logits
     in
    -1.58
     especially
    -1.31
     особенно
    -1.08
     b
    -1.07
     Wort
    -1.04
     like
    -1.02
     particularly
    -1.01
    わけで
    -0.98
     with
    -0.96
     Polen
    -0.94
    POSITIVE LOGITS
     maupun
    1.52
    および
    1.45
     மற்றும்
    1.43
     및
    1.42
    และ
    1.42
    や
    1.38
     and
    1.35
     یا
    1.23
     или
    1.22
     zowel
    1.20
    Activations Density 0.301%

    No Known Activations