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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. 5871
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    Explanations

    references to vehicles and their actions related to driving or being involved in incidents

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

    cars and vehicles

    np_acts-logits-general · gemini-2.0-flash

    his vehicle, your car

    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
     continúas
    -0.82
     تضيفلها
    -0.71
     Boats
    -0.68
    Tembelea
    -0.68
    Boats
    -0.66
     Trains
    -0.66
    trains
    -0.64
    ähren
    -0.63
    存于互联网档案馆
    -0.62
    Buses
    -0.62
    POSITIVE LOGITS
     car
    1.51
     vehicle
    1.34
    vehicle
    1.06
    car
    0.96
     voiture
    0.94
     véhicule
    0.85
     vehículo
    0.82
     macchina
    0.82
     automobile
    0.79
     veículo
    0.78
    Activations Density 0.141%

    No Known Activations