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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9122
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    Explanations

    references to water and its consumption in various contexts

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

    water or drinking

    np_acts-logits-general · gemini-2.0-flash

    water intake

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    adaptiveStyles
    -0.53
     PopupWindow
    -0.49
    出版年
    -0.49
     betweenstory
    -0.48
    meteries
    -0.47
     ddelweddau
    -0.47
    openConnection
    -0.45
    NUMX
    -0.45
     onCreateView
    -0.45
    
    -0.45
    POSITIVE LOGITS
     water
    0.82
     Water
    0.71
     drinking
    0.70
     Hydration
    0.69
     WATER
    0.68
     Drinking
    0.66
    water
    0.66
    Water
    0.66
     drink
    0.65
     hydration
    0.65
    Activations Density 0.160%

    No Known Activations