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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 1343
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    INDEX
    Explanations

    terms associated with temperament and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    ligament, ament, temperament

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     évêque
    -0.63
     golfe
    -0.52
     opty
    -0.50
     Chí
    -0.49
     pitié
    -0.49
     optique
    -0.48
     Atty
    -0.48
     curé
    -0.46
     bénéficiaire
    -0.45
      (
    -0.45
    POSITIVE LOGITS
    ament
    1.51
    aments
    1.25
    amental
    1.08
     temperament
    1.02
    AMENT
    1.02
    rament
    0.96
    tament
    0.90
    nament
    0.79
    iment
    0.77
    lament
    0.71
    Activations Density 0.006%

    No Known Activations