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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. 7692
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    INDEX
    Explanations

    ingredients and quantities in cooking recipes

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

    Food preparation or recipes

    np_acts-logits-general · gemini-2.0-flash

    chopped, diced, sliced ingredients

    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
    Not in Any Lists

    No Comments

    Negative Logits
    InvalidProtocol
    -0.55
     potato
    -0.55
    tadiene
    -0.54
    ambilan
    -0.53
     Potato
    -0.53
    potato
    -0.51
    gebob
    -0.51
    Tomato
    -0.51
     tetrachloride
    -0.51
     Nauk
    -0.49
    POSITIVE LOGITS
    SBATCH
    0.74
     chopped
    0.65
     finely
    0.62
     BrowserModule
    0.62
    chopped
    0.59
    RTSN
    0.59
     diced
    0.58
     fresh
    0.57
     whole
    0.56
     sliced
    0.56
    Activations Density 0.111%

    No Known Activations