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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9156
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    Explanations

    culinary processes and ingredients used in cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Ingredients in a recipe or dish

    np_acts-logits-general · gemini-2.0-flash

    meat, cheese, or vegetables

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     صوتيه
    -0.59
    principalTable
    -0.51
    ONOMY
    -0.50
    RPD
    -0.49
    atorias
    -0.49
    WriteTagHelper
    -0.48
     Sted
    -0.48
    aume
    -0.48
    ább
    -0.48
     متعلقه
    -0.48
    POSITIVE LOGITS
     mushrooms
    0.77
     spinach
    0.65
    
    0.63
     onions
    0.62
     Mushrooms
    0.60
     bell
    0.60
     sausage
    0.59
     bacon
    0.58
     veggies
    0.57
     ham
    0.55
    Activations Density 0.115%

    No Known Activations