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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. 10704
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    INDEX
    Explanations

    references to utensils and proper dining etiquette

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

    eating utensils and implements

    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
     ujednoznacz
    -0.57
     propOrder
    -0.57
     utafitiHapana
    -0.56
     autorytatywna
    -0.55
    shock
    -0.52
    IntoConstraints
    -0.49
    astify
    -0.49
    bcryptjs
    -0.49
     мәкал
    -0.48
     Chy
    -0.48
    POSITIVE LOGITS
     chopsticks
    0.79
     spoon
    0.69
     sendok
    0.63
     cuchara
    0.61
     cuillère
    0.58
     spoons
    0.58
    箸
    0.57
    Spoon
    0.56
     Spoon
    0.56
     fork
    0.56
    Activations Density 0.037%

    No Known Activations