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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. 4687
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    Explanations

    the name "Qui" and variations of it in different contexts

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

    unequivocally

    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
    存于互联网档案馆
    -0.62
     Always
    -0.50
    mesis
    -0.49
     FS
    -0.49
    FS
    -0.48
     srs
    -0.48
    ്ട
    -0.47
     HTS
    -0.47
    asts
    -0.47
    struzioni
    -0.46
    POSITIVE LOGITS
    qui
    2.52
    Qui
    2.05
     Qui
    1.93
    QUI
    1.88
     qui
    1.84
     QUI
    1.42
    quie
    1.16
     quiver
    1.05
    quí
    1.02
    quy
    0.98
    Activations Density 0.002%

    No Known Activations