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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4155
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    Explanations

    concepts related to rewards and training through games and gamification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PMailer
    -0.76
    expandindo
    -0.71
    曖昧さ回避
    -0.64
    setVerticalGroup
    -0.60
    Попис
    -0.57
    Демографія
    -0.56
     kasarigan
    -0.56
    ArrowToggle
    -0.56
     Borrow
    -0.55
     متعلقه
    -0.55
    POSITIVE LOGITS
     reward
    0.76
     incentives
    0.75
     rewards
    0.74
     incentiv
    0.68
    Incenti
    0.64
     Incentives
    0.63
     récompenses
    0.63
     incenti
    0.62
     incentive
    0.62
     récompense
    0.61
    Activations Density 0.410%

    No Known Activations