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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 41729
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    INDEX
    Explanations

    references to cars and automotive-related terminology

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

    automobile enthusiasts and services

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
     escaleras
    -0.46
    PYX
    -0.42
     tamaños
    -0.42
    SSID
    -0.42
     gjø
    -0.41
     portátiles
    -0.41
    GEBURTSDATUM
    -0.40
     rellen
    -0.40
     alambre
    -0.39
     cilvē
    -0.39
    POSITIVE LOGITS
     car
    1.01
     cars
    1.01
     automobile
    0.93
     automotive
    0.87
     vehicles
    0.86
     vehicle
    0.86
    cars
    0.84
     Cars
    0.84
     driving
    0.84
     automobiles
    0.82
    Activations Density 0.284%

    No Known Activations