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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10511
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    Explanations

    references to trucks and various types of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     train
    -0.34
     Train
    -0.34
    kurse
    -0.32
    train
    -0.32
     Mühle
    -0.30
    tieg
    -0.30
    XIM
    -0.28
    apunov
    -0.28
    ConstraintLayout
    -0.28
    клопе
    -0.28
    POSITIVE LOGITS
     truck
    0.94
     TRUCK
    0.93
     trucks
    0.93
    Truck
    0.93
    trucks
    0.90
     Truck
    0.89
     Trucks
    0.87
    truck
    0.87
     camion
    0.82
     camiones
    0.78
    Activations Density 0.235%

    No Known Activations