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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 126839
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    Explanations

    references to various types of trucks and vehicles

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

    trucks and vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     vectorielle
    -0.52
     magnétique
    -0.49
     vectorielles
    -0.45
     становника
    -0.45
     esportivo
    -0.44
     burbuja
    -0.44
     magnético
    -0.42
     magnética
    -0.42
     alfombra
    -0.41
    camente
    -0.41
    POSITIVE LOGITS
     truck
    0.78
     Truck
    0.68
     trucks
    0.65
    Truck
    0.59
    truck
    0.58
     Trucks
    0.57
     vehicle
    0.57
     vehicles
    0.56
     Commercial
    0.56
     commercial
    0.55
    Activations Density 0.007%

    No Known Activations