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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9114
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    Explanations

    details related to vehicles and their movement or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Motorrad
    -0.43
     автомо
    -0.40
     Bike
    -0.40
     bike
    -0.39
     motocic
    -0.39
     motorrad
    -0.39
     airline
    -0.38
    aviation
    -0.38
    neté
    -0.38
    Install
    -0.38
    POSITIVE LOGITS
     parked
    1.31
     parkir
    0.93
     parking
    0.91
     estacion
    0.87
     towed
    0.78
     docked
    0.77
     Parking
    0.75
    parking
    0.74
    Parking
    0.71
     PARKING
    0.71
    Activations Density 0.338%

    No Known Activations