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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10396
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    Explanations

    references to food-related challenges and hardships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlAttribute
    -0.47
    chitis
    -0.44
    LabelTagHelper
    -0.43
    calaure
    -0.43
    ampunk
    -0.43
     hObject
    -0.43
    日閲覧
    -0.42
    ksessa
    -0.41
    ollection
    -0.41
     boîtier
    -0.40
    POSITIVE LOGITS
     food
    2.88
    food
    2.36
     FOOD
    2.30
     Food
    2.28
    Food
    2.27
     foods
    2.22
    FOOD
    2.08
     meals
    1.98
     eating
    1.95
     comida
    1.93
    Activations Density 0.660%

    No Known Activations