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    classification metrics recall AUC kappa accuracy gain

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

    The neuron strongly activates on tokens naming quantitative measures, metrics, or similarity indices (e.g. accuracy, recall, precision, AUC, mutual information, Tanimoto, Jaccard, YOLO) used to evaluate or describe models and data.

    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
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    </h3>
    -1.62
    înes
    -1.57
    ⁛
    -1.52
    ☶
    -1.49
    ๛
    -1.45
    ⮑
    -1.43
    踭
    -1.42
    ógicos
    -1.42
    usitis
    -1.41
    umsy
    -1.40
    POSITIVE LOGITS
    </b>
    1.95
    0
    1.85
     quelques
    1.36
     consider
    1.31
    3
    1.27
     بعض
    1.26
     harán
    1.25
     ciertas
    1.21
     podremos
    1.20
    9
    1.20
    Activations Density 0.009%

    No Known Activations