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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12590
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    Explanations

    words and phrases related to food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     food
    -0.55
     FOOD
    -0.50
     foods
    -0.49
    食べ物
    -0.47
     Food
    -0.47
     comida
    -0.47
    FOOD
    -0.46
    PyTuple
    -0.46
    食物
    -0.44
    的食物
    -0.44
    POSITIVE LOGITS
     dessert
    1.10
    dessert
    1.03
    Dessert
    1.02
     Dessert
    1.01
     desserts
    0.97
    デザート
    0.93
     Desserts
    0.90
     sobremesa
    0.86
     deserts
    0.84
     beverages
    0.81
    Activations Density 0.168%

    No Known Activations