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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 6138
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    Explanations

    references to cheese and its various types and uses in food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fukuoka
    -0.59
    windowFixed
    -0.59
    rrggbb
    -0.55
     Peabody
    -0.54
     McCulloch
    -0.53
     appContext
    -0.53
    ebrow
    -0.53
     botanique
    -0.53
     Cranes
    -0.52
    kilde
    -0.52
    POSITIVE LOGITS
     cheese
    1.68
     Cheese
    1.50
    Cheese
    1.44
     cheeses
    1.39
    cheese
    1.37
    🧀
    1.19
     Käse
    1.18
     queijo
    0.99
     mozzarella
    0.99
    チーズ
    0.99
    Activations Density 0.110%

    No Known Activations