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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. 4208
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    Explanations

    references to high-performance vehicles and their specifications

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

    performance and racing cars

    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
    GEBURTSDATUM
    -0.50
    DoubleQuotes
    -0.46
    DotNetBar
    -0.43
     المعيارى
    -0.43
     SUDOC
    -0.41
    WebControls
    -0.40
    
    -0.39
     colpa
    -0.39
     sanitarios
    -0.39
     ISNI
    -0.38
    POSITIVE LOGITS
     racing
    1.17
     motorsport
    1.06
     Racing
    1.00
    Racing
    0.98
    racing
    0.98
     performance
    0.98
    performance
    0.97
     race
    0.95
     sporty
    0.94
     racers
    0.90
    Activations Density 0.122%

    No Known Activations