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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 67913
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    Explanations

    variations of the word "Que" in different contexts

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

    queer, quebec, quepos

    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
     Formación
    -0.43
     Fondo
    -0.40
     Père
    -0.40
     Ursprung
    -0.39
     posteriores
    -0.39
    piración
    -0.38
     fondateur
    -0.38
     Filho
    -0.38
     lengan
    -0.38
     Educación
    -0.37
    POSITIVE LOGITS
    Que
    2.02
     Que
    1.98
     QUE
    1.66
    que
    1.58
    QUE
    1.47
     que
    1.13
     Queer
    0.91
     Qué
    0.88
    Qué
    0.88
    QUEUE
    0.87
    Activations Density 0.003%

    No Known Activations