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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3126
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    Explanations

    references to chefs and the culinary industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    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
    -0.55
     Fibre
    -0.53
    Fibre
    -0.49
     fibre
    -0.48
    pingente
    -0.48
    issante
    -0.48
     nahilalakip
    -0.46
     manufactured
    -0.45
    Fiber
    -0.45
    fieras
    -0.45
    POSITIVE LOGITS
     chef
    1.40
     chefs
    1.34
     Chef
    1.28
    Chef
    1.17
     culinary
    1.16
     Chefs
    1.16
     kitchens
    1.15
     kitchen
    1.12
    chef
    1.09
     Culinary
    1.01
    Activations Density 0.243%

    No Known Activations