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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2244
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    Explanations

    mentions of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Caractéristiques
    -0.36
     reven
    -0.36
     existent
    -0.34
     gouvern
    -0.33
    Personendaten
    -0.33
    geschlossen
    -0.33
     Kennt
    -0.32
    toHaveBeenCalled
    -0.32
     kissing
    -0.32
     emiti
    -0.32
    POSITIVE LOGITS
     vehicle
    1.50
     Vehicle
    1.33
    vehicle
    1.30
    Vehicle
    1.22
     VEHICLE
    1.20
     vehicles
    1.05
     vehículo
    1.02
     vessel
    1.02
     véhicule
    0.98
     Vehicles
    0.97
    Activations Density 0.064%

    No Known Activations