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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. 53916
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    Explanations

    terms related to weather data and characteristics

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

    weather and water 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-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
     storms
    -0.61
     weather
    -0.61
     storm
    -0.60
     chuva
    -0.57
     rainfall
    -0.57
     cuaca
    -0.54
     rain
    -0.54
     hujan
    -0.50
     tormenta
    -0.50
     rains
    -0.49
    POSITIVE LOGITS
    AddTagHelper
    0.85
     '\\;'
    0.83
    Personendaten
    0.71
     betweenstory
    0.69
     AssemblyVersion
    0.69
    GraphicsUnit
    0.67
     AssemblyProduct
    0.66
     AssemblyCulture
    0.64
    domada
    0.63
    Hochspringen
    0.63
    Activations Density 0.021%

    No Known Activations