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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9073
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    Explanations

    phrases related to food and meal preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.52
    intios
    -0.44
    ween
    -0.41
    ніципа
    -0.40
     ligiloj
    -0.40
    Derbyniad
    -0.39
    Географија
    -0.37
     bezit
    -0.36
    PropertyType
    -0.36
    artz
    -0.36
    POSITIVE LOGITS
     food
    1.16
     meals
    0.98
    Food
    0.97
    food
    0.96
     eating
    0.95
     Food
    0.91
     makanan
    0.90
     alimentaire
    0.89
     comida
    0.89
     foods
    0.89
    Activations Density 0.473%

    No Known Activations