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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 116957
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    Explanations

    culinary terms and descriptions of dishes

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

    meat dishes and preparation

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     Nebel
    -0.34
    ↵↵
    -0.33
     adjusting
    -0.32
     Spitze
    -0.32
    faatkan
    -0.31
     Schulze
    -0.31
     Maske
    -0.31
     shift
    -0.31
     Sieben
    -0.31
     Neustadt
    -0.31
    POSITIVE LOGITS
     meat
    1.07
    Meat
    1.02
    meat
    0.96
     Meat
    0.94
     meats
    0.93
     beef
    0.90
    beef
    0.90
     MEAT
    0.90
    Beef
    0.86
     vlees
    0.85
    Activations Density 0.023%

    No Known Activations