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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9812
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    Explanations

    references to various types of cheese and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AsUp
    -0.70
     congi
    -0.49
     betrokken
    -0.49
     belangrij
    -0.47
     betrekking
    -0.47
     betekenis
    -0.46
     mijne
    -0.46
    iería
    -0.46
     فريبيس
    -0.46
     goederen
    -0.46
    POSITIVE LOGITS
     cheese
    1.47
     Cheese
    1.42
    Cheese
    1.27
    cheese
    1.26
     cheeses
    1.18
    🧀
    0.95
     cheddar
    0.91
     mozzarella
    0.88
     cheesy
    0.88
     Käse
    0.87
    Activations Density 0.203%

    No Known Activations