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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. 55809
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    Explanations

    references to Wikipedia and arXiv and track their usage in contexts such as citations or resources

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

    arXiv and Wikipedia

    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
    Not in Any Lists

    No Comments

    Negative Logits
    runApp
    -0.31
     grounds
    -0.31
     promoted
    -0.30
    {/
    -0.29
     Promoting
    -0.29
    Yay
    -0.29
     theme
    -0.28
    MarshalTo
    -0.28
     yay
    -0.28
     heard
    -0.27
    POSITIVE LOGITS
     Wikipedia
    2.33
     Wikipédia
    2.05
     wikipedia
    1.91
    Wikipedia
    1.85
     Wikiped
    1.76
     Wiki
    1.69
     Vikipedi
    1.61
    wikipedia
    1.55
     wiki
    1.52
     Вікіпе
    1.50
    Activations Density 0.003%

    No Known Activations