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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 5262
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    Explanations

    specific references to brands, models, and organizations related to automobiles and their features

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

    brand names and corporate entities (particularly Volkswagen Group and related companies).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FactoryBean
    -0.35
    methy
    -0.34
     nang
    -0.34
     a
    -0.34
    dis
    -0.34
    ohy
    -0.33
     Bals
    -0.33
    g
    -0.33
    тай
    -0.33
    Sik
    -0.33
    POSITIVE LOGITS
     countries
    0.93
     companies
    0.88
     institutions
    0.87
     entities
    0.87
     organisations
    0.79
     campuses
    0.78
     counties
    0.78
     products
    0.78
     produkter
    0.77
     families
    0.76
    Activations Density 1.045%

    No Known Activations