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    3. Gemma-2-27B
    5. 22-GEMMASCOPE-RES-131K
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    Explanations

    The neuron is primarily detecting occurrences of the preposition "for."

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

    for what/how

    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
    No Configuration Found
    Embeds
    IFrame
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    No Comments

    Negative Logits
    のですね
    -1.21
    ydd
    -1.10
     могат
    -1.09
     siguiendo
    -1.09
    GetAsync
    -1.05
     Cualquier
    -1.03
    lja
    -1.03
     cuestiones
    -1.03
    Cormack
    -1.02
     geliefert
    -1.00
    POSITIVE LOGITS
     how
    1.84
     what
    1.34
     cristiano
    1.20
    ceptable
    1.14
    how
    1.12
     which
    1.09
     celta
    1.09
    如何
    1.08
    How
    1.07
     protesta
    1.07
    Activations Density 0.058%

    No Known Activations