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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2737
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    INDEX
    Explanations

    references to tea consumption and its effects

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

    drinks and beverages

    np_acts-logits-general · gemini-2.0-flash

    types of drinks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ">//
    -0.51
    BagLayout
    -0.45
    Meat
    -0.44
     مرئيه
    -0.42
     SafeMath
    -0.41
    forName
    -0.41
     MEAT
    -0.41
     Mehl
    -0.40
    icordia
    -0.40
     Meat
    -0.40
    POSITIVE LOGITS
     drink
    1.18
     beverage
    1.07
     drinks
    1.06
    drink
    1.04
     beverages
    0.98
     drank
    0.97
     drinking
    0.96
     Drink
    0.96
     DRINK
    0.92
    Drink
    0.92
    Activations Density 0.359%

    No Known Activations