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    2. Gemma-2-27B
    3. 10-GEMMASCOPE-RES-131K
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    very or a lot followed by word

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

    The neuron detects degree-intensifying words (e.g. “very,” “long,” “great”) that amplify descriptions.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_10/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
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    Negative Logits
    !
    -1.48
     such
    -1.45
    ;
    -1.45
    :
    -1.34
    mani
    -1.30
    Instead
    -1.29
     plötzlich
    -1.28
    ^=
    -1.27
     that
    -1.27
    ?
    -1.26
    POSITIVE LOGITS
     also
    1.59
     arī
    1.58
    }$,
    1.52
     pokud
    1.45
     pelindung
    1.39
     myös
    1.38
     cepillo
    1.36
    ových
    1.34
    šanas
    1.34
     ugyan
    1.32
    Activations Density 0.084%

    No Known Activations