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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. 10722
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    Explanations

    references to wind and related meteorological concepts

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

    "wind" and its properties

    np_acts-logits-general · gemini-2.0-flash

    wind, winds, wind power

    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
    Hauptartikel
    -0.50
     disambiguazione
    -0.47
    AsUp
    -0.45
    Junction
    -0.45
    ValueStyle
    -0.43
    ftagPool
    -0.42
    BEY
    -0.42
    InputBorder
    -0.41
    TabPage
    -0.40
    TabIndex
    -0.40
    POSITIVE LOGITS
     wind
    2.44
     Wind
    2.14
    Wind
    2.09
    wind
    2.02
     winds
    1.94
     WIND
    1.94
    WIND
    1.68
     Winds
    1.65
     viento
    1.62
    winds
    1.59
    Activations Density 0.138%

    No Known Activations