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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. 8836
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    INDEX
    Explanations

    various aspects and topics related to weather

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

    weather

    np_acts-logits-general · gemini-2.0-flash

    weather research and conditions

    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
    Parcelize
    -0.71
    withIdentifier
    -0.60
     فريبيس
    -0.52
    niosek
    -0.49
     HasFactory
    -0.48
    ต้น
    -0.48
    estacks
    -0.48
     насељу
    -0.47
     Anteil
    -0.47
    parsedMessage
    -0.45
    POSITIVE LOGITS
     weather
    2.36
    Weather
    2.19
     Weather
    2.19
    weather
    2.16
     WEATHER
    2.03
    WEATHER
    1.86
     météo
    1.48
     cuaca
    1.42
    天气
    1.32
     meteorological
    1.27
    Activations Density 0.093%

    No Known Activations