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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7671
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    INDEX
    Explanations

    content related to food and barbecue, particularly specific dishes and cooking methods

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    smoke, roasting, or images

    np_acts-logits-general · gemini-2.0-flash

    smoke, smoked, roast duck, Getty Images

    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
    Negative Logits
     morango
    -0.44
     Seitz
    -0.43
     Cramer
    -0.40
    納豆
    -0.39
     Steine
    -0.38
    TableField
    -0.38
     
    -0.38
     Burgess
    -0.37
     Freitas
    -0.36
     frappé
    -0.36
    POSITIVE LOGITS
     smoked
    0.94
     smoke
    0.90
    smoked
    0.84
     smoker
    0.84
     Smoke
    0.83
    Smo
    0.83
     Smo
    0.79
     Smoked
    0.78
    Smoke
    0.76
     smoking
    0.75
    Activations Density 0.085%

    No Known Activations