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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5161
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    Explanations

    references to chefs and culinary expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.63
     nahilalakip
    -0.52
    🥤
    -0.50
     chrétienne
    -0.49
     médicale
    -0.48
     vectorielle
    -0.48
    fieras
    -0.48
    manufactured
    -0.47
     manufactured
    -0.47
    Manufacturing
    -0.47
    POSITIVE LOGITS
     chef
    1.27
     Chef
    1.17
     chefs
    1.16
     Chefs
    1.05
    Chef
    1.05
    chef
    1.04
     culinary
    0.91
    chefs
    0.90
     Michelin
    0.86
     Culinary
    0.85
    Activations Density 0.214%

    No Known Activations