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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 90049
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    INDEX
    Explanations

    references to cleaning products and their usage instructions

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

    cleaning chemicals and products

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     terciopelo
    -0.35
     chocolat
    -0.35
     cioccolato
    -0.33
     Sushi
    -0.32
     écoulé
    -0.32
    thmus
    -0.31
    Calories
    -0.31
     alignItems
    -0.31
     Brot
    -0.30
     silêncio
    -0.30
    POSITIVE LOGITS
     chemicals
    0.96
     chemical
    0.93
     spray
    0.88
     sprays
    0.85
    chemicals
    0.84
     sprayed
    0.84
     sprayer
    0.82
     cleaning
    0.82
     liquid
    0.81
     spraying
    0.81
    Activations Density 0.034%

    No Known Activations