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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 11122
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    Explanations

    mentions of chefs and their culinary careers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    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
    -0.59
     manufactured
    -0.55
     vectorielle
    -0.55
     noDo
    -0.55
    Manufacturing
    -0.54
     nahilalakip
    -0.54
     Taktlose
    -0.54
    ModelBuilder
    -0.54
    manufactured
    -0.53
     chrétienne
    -0.52
    POSITIVE LOGITS
     chef
    1.13
     Chef
    1.06
     chefs
    1.05
    Chef
    0.94
     Chefs
    0.94
    chef
    0.93
     culinary
    0.82
     Culinary
    0.80
    chefs
    0.79
     Michelin
    0.78
    Activations Density 0.254%

    No Known Activations