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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 81529
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    Explanations

    references to scooters and motorcycles, particularly in a marketing or brand context

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

    scooter motorbike riding

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elemField
    -0.54
    CloseOperation
    -0.53
    DeleteBehavior
    -0.40
    Bounding
    -0.39
    MLLoader
    -0.38
    XmlAttribute
    -0.37
    BuilderFactory
    -0.37
    Попис
    -0.37
    findpost
    -0.36
    Estr
    -0.35
    POSITIVE LOGITS
     scooter
    1.34
     scooters
    1.21
     Scooter
    1.12
    scooter
    1.08
    Scooter
    1.05
     Vespa
    0.90
     Sco
    0.80
     sco
    0.76
     motorbike
    0.75
     riding
    0.74
    Activations Density 0.036%

    No Known Activations