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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9716
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    Explanations

    references to various types of food, particularly hamburgers and their ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gnore
    -0.44
     trace
    -0.40
     Trace
    -0.38
    MOQ
    -0.36
    WBC
    -0.34
     symbol
    -0.34
     segno
    -0.33
     člověk
    -0.32
     legal
    -0.32
    afio
    -0.32
    POSITIVE LOGITS
     pizza
    1.19
     Pizza
    1.12
    Pizza
    1.05
     hamburgers
    1.03
    pizza
    1.00
     pizzas
    0.99
     burger
    0.95
     hamburger
    0.93
    Burger
    0.92
     burgers
    0.91
    Activations Density 0.341%

    No Known Activations