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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. 11179
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    INDEX
    Explanations

    references to chefs and culinary professionals

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

    before and after "chef" or related terms

    np_acts-logits-general · gemini-2.0-flash

    chefs and gastronomy

    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
    🥤
    -0.46
     chrétienne
    -0.43
    manufactured
    -0.42
     pistolet
    -0.42
     autorytatywna
    -0.42
     manguera
    -0.41
     fibres
    -0.40
     acondicion
    -0.40
     manufactured
    -0.40
     âges
    -0.39
    POSITIVE LOGITS
     chef
    1.59
     chefs
    1.47
     Chef
    1.46
    Chef
    1.35
    chef
    1.34
     Chefs
    1.29
     culinary
    1.17
     cooking
    1.16
     cooks
    1.14
     cook
    1.13
    Activations Density 0.196%

    No Known Activations