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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. 2495
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    INDEX
    Explanations

    references to steak and beef dishes

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

    Types or preparations of meat

    np_acts-logits-general · gemini-2.0-flash

    beef and steak dishes

    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
     Diverse
    -0.41
    Diverse
    -0.40
    ListItemIcon
    -0.39
     zoeken
    -0.36
    diğinde
    -0.35
    Transparent
    -0.34
     goederen
    -0.34
     bouwen
    -0.34
    wezen
    -0.34
     asamblea
    -0.34
    POSITIVE LOGITS
     steak
    1.09
     Steak
    1.00
     steaks
    0.95
    steak
    0.94
    Steak
    0.94
     beef
    0.89
     Beef
    0.82
    Beef
    0.79
    beef
    0.77
    loin
    0.67
    Activations Density 0.182%

    No Known Activations