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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5838
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    Explanations

    references to health conditions and comorbidities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ksessa
    -0.53
     valmis
    -0.51
     BrowserModule
    -0.50
     betweenstory
    -0.50
    
    -0.49
    tangentMode
    -0.49
     initComponents
    -0.48
     jScrollPane
    -0.47
    Спољашње
    -0.47
     оригіналу
    -0.46
    POSITIVE LOGITS
     diabetes
    1.30
     asthma
    1.24
     arthritis
    1.21
     Diabetes
    1.20
     Alzheimer
    1.17
     osteoporosis
    1.16
     cancer
    1.15
     glaucoma
    1.12
     Parkinson
    1.09
    diabetes
    1.09
    Activations Density 2.281%

    No Known Activations