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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 18-GEMMASCOPE-RES-16K
    6. 3371
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    INDEX
    Explanations

    details about food service and equipment

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

    kitchens, snacks, and machines

    np_acts-logits-general · gemini-2.0-flash

    kitchen, fridge, snacks, vending machines

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     baterai
    -0.46
    No
    -0.46
    ex
    -0.45
    Tx
    -0.43
    j
    -0.42
    NO
    -0.41
    um
    -0.41
    Укра
    -0.40
    uba
    -0.39
    öm
    -0.39
    POSITIVE LOGITS
     kitchenette
    1.09
    aarrggbb
    1.03
     виправивши
    0.97
     Theſe
    0.95
     Efq
    0.94
     myſelf
    0.92
     fridge
    0.87
    ſelf
    0.86
     snacks
    0.86
     Monfieur
    0.85
    Activations Density 0.071%

    No Known Activations