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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 9-GEMMASCOPE-RES-16K
    6. 12842
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    INDEX
    Explanations

    references to vehicles and their identification details, such as license plates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    cars, license plates, and car insurance

    np_acts-logits-general · gemini-2.0-flash

    car license plates

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    #+#
    -0.50
    adaptiveStyles
    -0.46
    PerformLayout
    -0.44
    GEBURTS
    -0.36
    
    -0.35
    nos
    -0.34
     ***!
    -0.34
     conter
    -0.34
    Sinopse
    -0.33
     怎样
    -0.33
    POSITIVE LOGITS
     automobiles
    0.66
     cars
    0.64
     garages
    0.64
     car
    0.64
     automobile
    0.63
     automó
    0.62
     garage
    0.61
    garage
    0.59
     vehicles
    0.59
    vehicles
    0.58
    Activations Density 0.172%

    No Known Activations