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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3640
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    INDEX
    Explanations

    references to various types of vehicles, particularly cars

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

    cars or car-related topics

    np_acts-logits-general · gemini-2.0-flash

    cars and vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.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
     Cleary
    -0.44
    springen
    -0.41
    denes
    -0.40
    NESDAY
    -0.40
     Richmond
    -0.39
    queryInterface
    -0.39
     Ultima
    -0.39
     IDL
    -0.38
     geopolitical
    -0.38
     Fairfax
    -0.37
    POSITIVE LOGITS
    Vehicle
    0.79
     Cars
    0.78
    VEHICLE
    0.78
     Vehicles
    0.78
     Vehicle
    0.73
    Vehicles
    0.73
    Cars
    0.72
    Automobile
    0.72
    Car
    0.71
     cars
    0.71
    Activations Density 0.184%

    No Known Activations