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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7100
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    Explanations

    instructions related to cooking or food preparation

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

    Instructions for serving food

    np_acts-logits-general · gemini-2.0-flash

    serve food

    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
     AssemblyCulture
    -0.79
    
    -0.66
    encodeWith
    -0.53
     Mercurio
    -0.51
    äfte
    -0.49
    DoubleQuotes
    -0.48
    Formik
    -0.48
     >=",
    -0.48
    Скачать
    -0.47
    Tarih
    -0.46
    POSITIVE LOGITS
     Serve
    1.53
     serve
    1.46
     serving
    1.45
    Serve
    1.43
     served
    1.40
    serve
    1.33
    Serving
    1.32
     Serving
    1.32
     Served
    1.28
     serves
    1.22
    Activations Density 0.131%

    No Known Activations