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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. 3886
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    ingredients and quantities related to cooking and recipes

    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
    
    -0.73
    édrale
    -0.61
    CppMethod
    -0.59
    inSlope
    -0.57
     MessageBoxIcon
    -0.56
    transQ
    -0.55
     resourceCulture
    -0.52
    enderror
    -0.52
     مرئيه
    -0.50
     viciss
    -0.50
    POSITIVE LOGITS
     onion
    1.24
     onions
    1.11
     Onion
    1.06
     Zwiebel
    1.02
     bulb
    1.02
     garlic
    1.02
    Onion
    1.02
     bulbs
    0.98
     cebolla
    0.98
     bawang
    0.97
    Activations Density 0.196%

    No Known Activations