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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. 7179
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    Explanations

    references to specific retail locations and shopping experiences

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

    Common retailers

    np_acts-logits-general · gemini-2.0-flash

    retail stores and fast food

    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
    rungsseite
    -1.10
    oredCriteria
    -0.99
    XmlAccessType
    -0.96
    MLLoader
    -0.92
     nahilalakip
    -0.89
    IntoConstraints
    -0.85
    ItemBackground
    -0.85
    Diweddarwch
    -0.85
     disambiguazione
    -0.84
    ymce
    -0.84
    POSITIVE LOGITS
     Walmart
    1.02
     McDonald
    0.92
     Costco
    0.87
     Target
    0.84
    Walmart
    0.82
     walmart
    0.81
     Tesco
    0.81
     Aldi
    0.80
     IKEA
    0.79
     McDonalds
    0.78
    Activations Density 0.118%

    No Known Activations