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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 63
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    INDEX
    Explanations

    references to food and dining experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    eating and drinking

    np_acts-logits-general · gemini-2.0-flash

    consuming food and drink

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     AssemblyCulture
    -0.85
     ***!
    -0.63
    :✨
    -0.63
    AccessorTable
    -0.60
     otomatig
    -0.58
    SBATCH
    -0.58
     ArrayAdapter
    -0.57
    ंदीखरीदारी
    -0.57
    prefixer
    -0.57
    calaureate
    -0.56
    POSITIVE LOGITS
     consume
    1.81
     consuming
    1.81
     consumption
    1.78
     eat
    1.73
     eating
    1.68
     consumed
    1.64
     Consumption
    1.55
     drinking
    1.53
     eaten
    1.53
     consumes
    1.52
    Activations Density 0.447%

    No Known Activations