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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15543
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    INDEX
    Explanations

    information about fuel efficiency and consumption in vehicles

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Fuel efficiency and consumption

    np_acts-logits-general · gemini-2.0-flash

    fuel economy, efficiency, consumption

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BindView
    -0.49
     ModelExpression
    -0.45
    AccessorTable
    -0.37
    ViewFeatures
    -0.35
    createTextNode
    -0.35
    initializeApp
    -0.34
    BlockPos
    -0.34
    findpost
    -0.34
     Pad
    -0.33
     Bir
    -0.33
    POSITIVE LOGITS
     fuel
    1.36
    燃費
    1.16
     Fuel
    1.16
    Fuel
    1.13
    fuel
    1.08
     mpg
    1.07
     MPG
    1.03
     FUEL
    0.98
    FUEL
    0.96
     consommation
    0.92
    Activations Density 0.183%

    No Known Activations