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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 14442
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    Explanations

    phrases related to the effects and characteristics of beverages, particularly hot chocolate and tea

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

    tea and other drinks

    np_acts-logits-general · gemini-2.0-flash

    tea makes everything better

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sizeCache
    -0.56
    balleur
    -0.55
     wrestling
    -0.54
     carnes
    -0.54
     Wrestling
    -0.53
     Fische
    -0.51
     teatral
    -0.51
    WWE
    -0.50
    ValueGeneration
    -0.50
    {#
    -0.49
    POSITIVE LOGITS
     drink
    0.91
     beverage
    0.89
     caffeine
    0.85
    Drink
    0.81
     drinking
    0.81
     barista
    0.79
     beverages
    0.77
     caffe
    0.76
    Drinking
    0.76
     Drink
    0.75
    Activations Density 0.153%

    No Known Activations