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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 69592
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    Explanations

    aspects of meal preparation and dining experiences

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

    meals and courses served

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kapnya
    -0.45
     peindre
    -0.41
     fémin
    -0.40
     mulus
    -0.40
     cuenca
    -0.40
    astanza
    -0.40
     emploi
    -0.40
     Leser
    -0.40
    asteroide
    -0.40
     mètre
    -0.40
    POSITIVE LOGITS
     meals
    1.25
     food
    1.16
     meal
    1.14
     snacks
    1.04
     delicious
    1.02
     foods
    1.00
     menus
    0.99
     breakfast
    0.98
     cuisine
    0.97
     delicacies
    0.96
    Activations Density 0.065%

    No Known Activations