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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9289
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    favorite foods and culinary preferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Obispo
    -0.40
     scoper
    -0.39
    Necesito
    -0.38
    ênes
    -0.38
    Viitteet
    -0.37
     espoir
    -0.37
     geschlossen
    -0.36
     Patricio
    -0.36
     prop
    -0.36
     Responsible
    -0.35
    POSITIVE LOGITS
     cooked
    0.66
     cooking
    0.65
    tagHelperRunner
    0.64
     delicacies
    0.64
     grilled
    0.62
     roasted
    0.61
     dishes
    0.60
     soups
    0.60
     Italijanski
    0.60
    dishes
    0.59
    Activations Density 0.231%

    No Known Activations