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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. 8446
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    Explanations

    types of food and their nutritional values

    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
    Бахар
    -0.44
    phorbia
    -0.42
    SharedCtor
    -0.41
     življen
    -0.36
     sintering
    -0.35
     financiera
    -0.35
     pharmacie
    -0.34
     pestañas
    -0.34
     vlasy
    -0.34
     mengangg
    -0.34
    POSITIVE LOGITS
     fruit
    2.09
     fruits
    1.85
     Fruit
    1.77
    fruit
    1.70
    Fruit
    1.66
     FRUIT
    1.57
     Fruits
    1.57
    fruits
    1.47
     fruta
    1.44
    Fruits
    1.43
    Activations Density 0.274%

    No Known Activations