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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. 13059
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    Explanations

    ingredients and seasoning terms used in cooking

    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
    Демографія
    -0.54
    OrNil
    -0.50
     wang
    -0.49
     ویکی‌پدی
    -0.48
    internalType
    -0.48
     Fibre
    -0.47
     Platform
    -0.47
    Referanser
    -0.46
     NEET
    -0.45
    ClientSize
    -0.45
    POSITIVE LOGITS
     seasonings
    0.67
     seasoning
    0.64
     spices
    0.57
     sauces
    0.56
     bumbu
    0.55
     spice
    0.53
     sauce
    0.50
     condiments
    0.48
     spicy
    0.48
     especias
    0.47
    Activations Density 0.167%

    No Known Activations