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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 2794
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    Explanations

    important terms related to business operations and customer service in a restaurant context

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

    Restaurant or dining related vocabulary

    np_acts-logits-general · gemini-2.0-flash

    restaurant service staff

    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
     Paglinawan
    -0.62
     oprot
    -0.58
     hemor
    -0.55
    帖最后由
    -0.51
    pulumi
    -0.50
    кипедия
    -0.49
     فريبيس
    -0.49
    حياته
    -0.49
    脚注の使い方
    -0.48
    saraba
    -0.48
    POSITIVE LOGITS
     waiter
    1.37
     restaurant
    1.37
     waitress
    1.31
     waiters
    1.28
     diners
    1.24
     dining
    1.22
     Restaurant
    1.22
     menu
    1.22
    Restaurant
    1.20
     menus
    1.18
    Activations Density 0.257%

    No Known Activations