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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 9207
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    INDEX
    Explanations

    references to thunder, lightning, and weather-related phenomena

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

    Lightning and thunderstorms

    np_acts-logits-general · gemini-2.0-flash

    lightning bolts, clouds

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.94
     Signalez
    -0.67
    ArgsConstructor
    -0.63
     Infórmanos
    -0.62
     AssemblyVersion
    -0.58
    rungsseite
    -0.57
    muñeca
    -0.57
    RenderAtEndOf
    -0.57
    Personendaten
    -0.56
    IntoConstraints
    -0.56
    POSITIVE LOGITS
     lightning
    1.63
     Lightning
    1.42
    Lightning
    1.34
    lightning
    1.31
     thunder
    1.30
     thunderstorm
    1.14
    thunder
    1.13
     Thunder
    1.10
    Thunder
    1.03
     lightening
    1.02
    Activations Density 0.096%

    No Known Activations