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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. 37810
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    INDEX
    Explanations

    certain adjectives describing unusual or intriguing qualities

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

    adjectives describing food

    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
     toekomst
    -0.35
     Steine
    -0.32
     politie
    -0.32
    setArguments
    -0.32
    setVerticalGroup
    -0.30
    aksikan
    -0.30
    metingen
    -0.30
     prijzen
    -0.29
     voldoende
    -0.28
    Cubit
    -0.28
    POSITIVE LOGITS
     culinary
    0.63
     delicious
    0.63
     gourmet
    0.63
     cooking
    0.62
     food
    0.62
     flavours
    0.61
    Personensuche
    0.60
     savoury
    0.59
     FOOD
    0.58
     cuisines
    0.58
    Activations Density 0.198%

    No Known Activations