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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. 14716
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    Explanations

    specific conditions or treatments in medical contexts

    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
    Ārējās
    -0.42
    ness
    -0.41
    Singular
    -0.41
    joda
    -0.40
    lal
    -0.40
    oredCriteria
    -0.40
    localctx
    -0.40
    TestingModule
    -0.40
    Scénario
    -0.40
    FontOfSize
    -0.39
    POSITIVE LOGITS
                                   
    0.95
                                 
    0.62
                             
    0.60
                                  
    0.59
                               
    0.57
                                
    0.56
    Tembelea
    0.55
                              
    0.54
                     
    0.52
                           
    0.52
    Activations Density 0.607%

    No Known Activations