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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 11910
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    Explanations

    references to vehicles involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     areas
    -0.42
    这项
    -0.41
     Eno
    -0.41
     Alton
    -0.40
    amor
    -0.40
     area
    -0.40
    amata
    -0.40
     Lambeth
    -0.39
     artificial
    -0.39
    RegistryLite
    -0.39
    POSITIVE LOGITS
     vehicles
    0.69
     vehicle
    0.66
     Vehicles
    0.61
     cars
    0.59
     chariot
    0.57
    vehicles
    0.55
    vehicle
    0.55
     trucks
    0.54
    一台
    0.52
     wagon
    0.52
    Activations Density 0.183%

    No Known Activations