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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. 15361
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    Explanations

    elements related to food and dining experiences in a context that highlights their quality and cultural significance

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

    preceding restaurant or eatery names

    np_acts-logits-general · gemini-2.0-flash

    adjectives for dining places

    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
    afficheront
    -0.74
     Paglinawan
    -0.74
    tvguidetime
    -0.70
    enumi
    -0.69
    URLException
    -0.69
    verwijspagina
    -0.68
    KEYCODE
    -0.66
    onViewCreated
    -0.65
    ViewFeatures
    -0.65
    发表于
    -0.65
    POSITIVE LOGITS
     restaurant
    1.19
     cafe
    1.10
     café
    1.06
     restaurants
    0.96
     eatery
    0.93
     tavern
    0.92
     bar
    0.92
     bistro
    0.87
     cafes
    0.87
     Cafe
    0.86
    Activations Density 0.204%

    No Known Activations