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    5. 10-GEMMASCOPE-RES-131K
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    Explanations

    government departments and offices

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

    The neuron fires on long, multi‐syllable content words—especially formal names or institutional terms split across several subword tokens.

    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
    Embeds
    IFrame
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    Negative Logits
    我們
    -1.50
     μας
    -1.40
    éroport
    -1.34
    Groet
    -1.30
    我们将
    -1.28
    Suomen
    -1.27
     blessures
    -1.27
    我们
    -1.26
     cerrado
    -1.26
    въ
    -1.23
    POSITIVE LOGITS
     about
    1.84
     department
    1.72
     Department
    1.40
     if
    1.39
     while
    1.30
     recently
    1.22
     always
    1.20
     decades
    1.16
    Accessed
    1.13
     einzigen
    1.12
    Activations Density 0.129%

    No Known Activations