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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 13182
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    INDEX
    Explanations

    phrases related to dining etiquette and client interactions

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

    around "table" or "diners"

    np_acts-logits-general · gemini-2.0-flash

    dining and restaurants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    poni
    -0.49
    konferenz
    -0.44
    acro
    -0.44
    führen
    -0.43
    adora
    -0.43
     fabrique
    -0.42
     wakil
    -0.42
    )}</
    -0.42
     fronte
    -0.42
     produt
    -0.42
    POSITIVE LOGITS
     tables
    1.48
     table
    1.46
     diners
    1.36
     Tables
    1.34
     waiter
    1.30
     dining
    1.29
     seating
    1.23
     Table
    1.23
     seated
    1.19
     waitress
    1.19
    Activations Density 0.188%

    No Known Activations