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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 13-GEMMASCOPE-RES-16K
    6. 2180
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    Explanations

    references to hot and warm temperatures, particularly in relation to food and beverages

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     كومونز
    -0.87
    ellschaft
    -0.81
     تانيه
    -0.78
    kegaard
    -0.77
     مرئيه
    -0.76
    granate
    -0.76
     Caballero
    -0.73
     للاسماء
    -0.72
    PreferredItem
    -0.72
    CloseOperation
    -0.72
    POSITIVE LOGITS
     Hot
    1.34
     hot
    1.23
     HOT
    1.23
    Hot
    1.23
    hot
    1.16
    HOT
    1.12
     hotter
    1.06
     chaud
    1.05
     temperatures
    1.01
     temperature
    0.99
    Activations Density 0.106%

    No Known Activations