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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. 6835
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    Explanations

    mentions of the "Monte Carlo" method or simulations

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

    Monte Carlo

    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
    sejarah
    -0.50
     Exteriores
    -0.48
     izquier
    -0.44
     tambin
    -0.43
     Irán
    -0.43
     Affaires
    -0.43
     zaměst
    -0.43
     quelcon
    -0.42
     crecer
    -0.41
     Vernunft
    -0.41
    POSITIVE LOGITS
     Monte
    2.39
    Monte
    2.20
     MONTE
    1.91
     monte
    1.86
    monte
    1.57
     Monty
    1.12
    Monty
    1.00
     Mont
    0.98
     montes
    0.98
     Monta
    0.98
    Activations Density 0.003%

    No Known Activations