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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3494
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    Explanations

    references to health, nutrition, and physical activity

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     للمعارف
    -0.64
     wikipagina
    -0.60
     AssemblyCulture
    -0.59
    expandindo
    -0.58
    __":
    -0.56
    }$​
    -0.56
    Hauptartikel
    -0.54
    بالإنجليزية
    -0.52
    </tfoot>
    -0.51
     怎样
    -0.50
    POSITIVE LOGITS
     |
    1.16
     /
    0.94
     ||
    0.84
                                   
    0.81
     //
    0.78
     •
    0.77
                         
    0.75
                             
    0.75
                       
    0.74
                           
    0.73
    Activations Density 1.783%

    No Known Activations