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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. 1109
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    INDEX
    Explanations

    references to table setting and proper utensil use

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

    Tableware and dining etiquette

    np_acts-logits-general · gemini-2.0-flash

    tableware and its correct use

    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
     huden
    -0.54
    roides
    -0.53
    $_['
    -0.50
     shingles
    -0.49
     Ceinture
    -0.48
     Schrader
    -0.47
     patch
    -0.44
    кзак
    -0.44
    Patch
    -0.44
     Bullock
    -0.44
    POSITIVE LOGITS
     tableware
    1.21
     plates
    1.18
     plate
    1.11
     cutlery
    1.11
     utensils
    1.08
     cups
    1.08
     dishes
    1.08
     bowls
    1.06
     cup
    1.05
     dish
    1.03
    Activations Density 0.184%

    No Known Activations