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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. 126609
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    Explanations

    specific types of Indian and Malaysian food dishes

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

    breakfast foods and fried items

    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
     épaules
    -0.51
    脚注の使い方
    -0.50
     arbejde
    -0.49
     arbejds
    -0.48
     løs
    -0.45
    存于互联网档案馆
    -0.45
     mercancías
    -0.44
     jambes
    -0.43
     égard
    -0.42
    kształ
    -0.41
    POSITIVE LOGITS
     crepes
    0.74
     omelette
    0.71
     pancakes
    0.69
     Pancakes
    0.64
     crê
    0.63
     pancake
    0.62
    adillas
    0.61
     Pancake
    0.58
     crepe
    0.57
     ddelweddau
    0.49
    Activations Density 0.014%

    No Known Activations