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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. 44362
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    Explanations

    references to specific types of food ingredients, especially potatoes and tomatoes

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

    vegetables and fruits

    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
     createState
    -0.49
    SharedCtor
    -0.44
    ptian
    -0.44
     enkelte
    -0.42
     PERRY
    -0.42
     Perry
    -0.42
    .(*
    -0.41
    깥
    -0.40
    Kanpo
    -0.39
     União
    -0.38
    POSITIVE LOGITS
     potatoes
    1.13
     Potatoes
    1.10
     tomatoes
    1.03
     strawberries
    1.01
     Tomatoes
    1.00
    Potatoes
    0.99
     carrots
    0.95
     peaches
    0.94
     Carrots
    0.91
     bananas
    0.91
    Activations Density 0.025%

    No Known Activations