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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 8339
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    Explanations

    instances of professional etiquette and manners in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PreferredItem
    -0.57
    migrationBuilder
    -0.56
    XmlAccessType
    -0.56
    apimachinery
    -0.56
     ujednoznacz
    -0.55
    тию
    -0.52
    cluse
    -0.52
     configureStore
    -0.52
     doInBackground
    -0.51
     Wad
    -0.46
    POSITIVE LOGITS
     etiquette
    1.61
     manners
    1.52
     Etiquette
    1.39
     Manners
    1.34
     politeness
    1.33
     Respect
    1.31
     respect
    1.30
    Respect
    1.27
     respectful
    1.27
    respect
    1.25
    Activations Density 0.570%

    No Known Activations