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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11585
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    Explanations

    specific instructions or etiquette related to dining and utensil use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    eating and consuming food

    np_acts-logits-general · gemini-2.0-flash

    eating food

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    ⓧ
    -0.55
    SceneManagement
    -0.43
    readystatechange
    -0.43
    rmtree
    -0.42
    SELL
    -0.42
    Bathrooms
    -0.42
    insics
    -0.41
    developer
    -0.41
    ServletException
    -0.41
     Blum
    -0.41
    POSITIVE LOGITS
     eating
    0.58
     appetite
    0.50
    aarrggbb
    0.49
    ItemBackground
    0.48
     eater
    0.48
     Eating
    0.47
     consumption
    0.46
     eat
    0.45
     intake
    0.44
    Eating
    0.44
    Activations Density 0.221%

    No Known Activations