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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 103697
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    Explanations

    references to kitchens and chefs in the context of food preparation

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

    culinary professionals in kitchens

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTIS
    -0.49
    CppMethod
    -0.48
    uttavia
    -0.47
    SequentialGroup
    -0.47
     entanto
    -0.46
    扶
    -0.45
     tuttavia
    -0.45
     soñar
    -0.43
    ähne
    -0.43
    dbach
    -0.43
    POSITIVE LOGITS
     chef
    0.51
     Chef
    0.46
     cook
    0.44
    最快更新
    0.43
     cooks
    0.42
     doInBackground
    0.40
     culinary
    0.40
    Chef
    0.40
     kitchens
    0.40
     Chefs
    0.39
    Activations Density 0.005%

    No Known Activations