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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8024
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    Explanations

    mentions of vehicles and cars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     drift
    -0.34
     ext
    -0.33
     Küste
    -0.32
    warte
    -0.31
    แค่
    -0.31
     dreht
    -0.31
     impacts
    -0.30
    endo
    -0.29
     Drift
    -0.29
     prevention
    -0.29
    POSITIVE LOGITS
     vehicles
    1.15
     Vehicles
    1.06
     cars
    1.06
    Vehicles
    1.04
     vehicle
    1.02
    車
    1.02
     Vehicle
    0.99
     vehic
    0.96
    vehicles
    0.96
     VEHICLE
    0.96
    Activations Density 0.227%

    No Known Activations