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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9386
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    Explanations

    mentions of meals or food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fieltro
    -0.54
     podjet
    -0.54
    Bronnen
    -0.51
     lentejuelas
    -0.51
     cuivre
    -0.50
     plomo
    -0.50
     relógio
    -0.50
     alluminio
    -0.48
     beweging
    -0.48
     gambe
    -0.48
    POSITIVE LOGITS
     pizza
    1.55
     pizzas
    1.41
     pancakes
    1.36
     hamburgers
    1.33
     spaghetti
    1.32
     pasta
    1.30
     burgers
    1.30
     sandwiches
    1.27
     sushi
    1.26
     lasagna
    1.25
    Activations Density 0.496%

    No Known Activations