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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 127884
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    Explanations

    elements and properties related to weather data structures

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

    weather forecasts

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     jScrollPane
    -0.59
    Personendaten
    -0.54
     ब्रेकडाउन
    -0.52
    مصادر
    -0.49
    awtextra
    -0.48
    RTDA
    -0.48
     <<<<<<<<<<<<<<
    -0.47
    GEBURTSDATUM
    -0.47
    XMLSchema
    -0.47
    лтамалар
    -0.46
    POSITIVE LOGITS
     weather
    0.70
    weather
    0.64
     Weather
    0.64
    Weather
    0.63
     WEATHER
    0.56
    WEATHER
    0.50
     Wetter
    0.48
     пого
    0.42
     meteoro
    0.41
    天気
    0.40
    Activations Density 0.155%

    No Known Activations