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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8489
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    Explanations

    references to chefs and cooking-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyVersion
    -0.49
    MessageOf
    -0.46
    iew
    -0.45
     Esmeralda
    -0.45
     domin
    -0.45
    webElementXpaths
    -0.44
     inferior
    -0.43
     ROY
    -0.43
    őre
    -0.43
     lowly
    -0.42
    POSITIVE LOGITS
     restauración
    0.75
     chefs
    0.68
     cocinar
    0.66
     cocinas
    0.65
     cooks
    0.65
    Restoration
    0.65
     cocin
    0.64
    Program
    0.63
     ristoranti
    0.61
     cook
    0.60
    Activations Density 0.257%

    No Known Activations