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

    The neuron detects morphologically complex words built with common prefixes or suffixes (e.g. past‐tense “‐ed,” agent “‐er,” gerund “‐ing,” nominal “‐ation,” etc.).

    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
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    Negative Logits
    menü
    -1.54
     whoſe
    -1.50
    '
    -1.47
    meteries
    -1.42
     Qaeda
    -1.41
    orist
    -1.41
    ⁵
    -1.40
    
    -1.39
     amigas
    -1.38
    ׳
    -1.38
    POSITIVE LOGITS
     –
    2.02
    1
    1.75
     into
    1.66
    including
    1.64
     including
    1.62
    g
    1.54
     termurah
    1.51
     being
    1.49
     About
    1.49
    to
    1.46
    Activations Density 0.202%

    No Known Activations