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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 15597
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    Explanations

    references to various types of vehicles and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yal
    -0.50
    нология
    -0.47
    PathParam
    -0.44
    lace
    -0.42
    area
    -0.41
     area
    -0.41
    koj
    -0.40
    blatt
    -0.40
     Falls
    -0.40
     سكان
    -0.39
    POSITIVE LOGITS
     vehicles
    1.49
     cars
    1.42
    vehicles
    1.34
     vehicle
    1.32
     Vehicles
    1.28
    cars
    1.27
    Vehicles
    1.25
    vehicle
    1.22
     trucks
    1.22
    Cars
    1.21
    Activations Density 0.374%

    No Known Activations