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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5449
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    terms related to health conditions and risk factors associated with obesity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     backpacks
    -0.45
     Ives
    -0.43
    WebElementEntity
    -0.43
     betweenstory
    -0.41
     quie
    -0.41
    veta
    -0.39
     tanks
    -0.39
     kı
    -0.39
    persion
    -0.39
     nltk
    -0.38
    POSITIVE LOGITS
     prevención
    0.55
     prévention
    0.55
    preven
    0.54
     preventive
    0.54
     prevention
    0.53
     Prevention
    0.53
     Preventive
    0.53
    Preven
    0.52
     preventative
    0.51
     Preven
    0.50
    Activations Density 0.970%

    No Known Activations