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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4901
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    Explanations

    cuisine-related terms and dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.58
    oneofs
    -0.53
    InjectAttribute
    -0.53
     lác
    -0.52
    verwijspagina
    -0.51
    fromnode
    -0.51
    Parcelize
    -0.50
     nonUne
    -0.50
     mármol
    -0.49
    oflavin
    -0.49
    POSITIVE LOGITS
     lasagna
    0.73
     burgers
    0.73
     paella
    0.69
     pizza
    0.67
     tacos
    0.67
     ques
    0.66
     nachos
    0.65
     risotto
    0.65
     spaghetti
    0.64
     pizzas
    0.61
    Activations Density 0.253%

    No Known Activations