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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. 128044
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    Explanations

    ingredients and components related to Italian cuisine, particularly focusing on tomatoes and their various uses in dishes

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

    tomato

    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
     Benedikt
    -0.39
    matig
    -0.39
    strument
    -0.39
     Christiane
    -0.39
    RegistryLite
    -0.38
     Wars
    -0.37
    stanze
    -0.36
    sizeCache
    -0.36
     Tab
    -0.36
     vuotta
    -0.36
    POSITIVE LOGITS
    tomato
    0.58
    🍅
    0.54
     tomato
    0.54
     Италијани
    0.54
     tomatoes
    0.54
     tomate
    0.52
    Tomato
    0.52
     Tomatoes
    0.50
     tomates
    0.50
     Tomato
    0.49
    Activations Density 0.168%

    No Known Activations