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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14254
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    Explanations

    occurrences of negative weather-related experiences and conditions

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

    words and phrases related to weather conditions and their impacts on activities.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    省市镇
    -0.30
    有所
    -0.27
     szeret
    -0.27
     brink
    -0.25
    йтесь
    -0.25
     Allgeme
    -0.25
     Silber
    -0.24
     bersi
    -0.23
     مرح
    -0.23
     dů
    -0.23
    POSITIVE LOGITS
     weather
    2.91
    weather
    2.44
    Weather
    2.39
     Weather
    2.36
     WEATHER
    2.31
    WEATHER
    2.14
     cuaca
    2.00
    天气
    1.95
     météo
    1.92
    天氣
    1.91
    Activations Density 0.688%

    No Known Activations