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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1049
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    Explanations

    references to vehicles and related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Buses
    -0.60
     Trucks
    -0.59
     Buses
    -0.57
     Driving
    -0.55
     Trains
    -0.55
     motos
    -0.53
     Trucking
    -0.52
     Motorcycles
    -0.51
    Cycling
    -0.50
    Trains
    -0.50
    POSITIVE LOGITS
     vehicle
    1.54
    vehicle
    1.21
     car
    1.16
     vehículo
    1.01
     vehicles
    0.99
     véhicule
    0.98
     VEHICLE
    0.84
    Vehicle
    0.82
     veículo
    0.82
     veh
    0.82
    Activations Density 0.305%

    No Known Activations