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    2. Gemma-2-27B
    3. 22-GEMMASCOPE-RES-131K
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    The neuron fires most strongly on key topic words—especially abstract or evaluative nouns like “qualities,” “skills,” “background,” “strategy,” “implications,” etc.—that label the main subject of a question or discussion.

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

    asking questions about purpose

    np_acts-logits-general · gemini-2.5-flash-lite
    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
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    Negative Logits
     reje
    -1.44
     maquiagem
    -1.35
     remun
    -1.33
     alug
    -1.30
     borboleta
    -1.25
     comemor
    -1.23
     suspe
    -1.23
     bronz
    -1.20
     pake
    -1.17
     alça
    -1.17
    POSITIVE LOGITS
     or
    1.81
     to
    1.39
     in
    1.33
     during
    1.29
     of
    1.24
     from
    1.18
     españoles
    1.16
     and
    1.13
     out
    1.12
     you
    1.09
    Activations Density 0.015%

    No Known Activations