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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14067
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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 @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    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
    -0.57
     resourceCulture
    -0.54
    CloseOperation
    -0.48
    
    -0.47
    PostInfinity
    -0.46
     AssemblyVersion
    -0.45
    مصادر
    -0.44
    Билгалдахарш
    -0.41
    RTHOOK
    -0.40
    awtextra
    -0.39
    POSITIVE LOGITS
     chefs
    1.16
     chef
    1.16
     Chef
    1.14
     culinary
    1.09
    Chef
    1.07
     Chefs
    1.02
     cooking
    0.98
     Culinary
    0.98
    chef
    0.97
     cooks
    0.95
    Activations Density 0.393%

    No Known Activations