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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 13190
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    Explanations

    references to efficiency and empowerment in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     considérons
    -0.56
     poveznice
    -0.49
    #
    -0.47
    Biographie
    -0.45
    skb
    -0.44
    //
    -0.43
     />";
    -0.43
     vu
    -0.43
     prayed
    -0.43
    deva
    -0.42
    POSITIVE LOGITS
    AndEndTag
    0.92
     mirror
    0.78
     eficiencia
    0.78
     Efficiency
    0.75
     esthétique
    0.75
     efficiency
    0.74
     Handling
    0.73
     cuivre
    0.72
     QName
    0.72
     EFFICIENCY
    0.72
    Activations Density 0.085%

    No Known Activations