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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. 8283
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    INDEX
    Explanations

    references to vehicles, particularly trucks

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

    trucks or trucking

    np_acts-logits-general · gemini-2.0-flash

    trucks and trailers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inSlope
    -0.40
    AnchorStyles
    -0.38
     paragraphe
    -0.37
    IVEREF
    -0.37
     joyería
    -0.37
    izieren
    -0.36
    GeoNames
    -0.36
    ņu
    -0.36
    ikä
    -0.35
    genheit
    -0.35
    POSITIVE LOGITS
     truck
    1.28
     trucker
    1.20
     Truck
    1.18
     trucks
    1.16
    Truck
    1.13
     Trucks
    1.09
     trucking
    1.09
    truck
    1.06
     TRUCK
    1.05
    trucks
    1.03
    Activations Density 0.152%

    No Known Activations