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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. 34498
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    INDEX
    Explanations

    references to vehicles and their characteristics

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

    vehicles, driving, and their use

    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
    Negative Logits
    rawDesc
    -0.41
     Öffnungszeiten
    -0.39
     Webseiten
    -0.37
     рабочих
    -0.35
    ási
    -0.35
     Züge
    -0.35
    .*")]
    -0.34
    längerung
    -0.34
    ships
    -0.34
    Created
    -0.34
    POSITIVE LOGITS
    ImageContext
    0.68
     للاسماء
    0.60
     parked
    0.56
     Roskov
    0.56
     stolen
    0.54
    medriver
    0.52
    SBATCH
    0.50
     containing
    0.50
     waarin
    0.50
     driven
    0.49
    Activations Density 0.022%

    No Known Activations