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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 2-GEMMASCOPE-RES-16K
    6. 9833
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    terms related to various diseases and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionMode
    -0.48
     appreciating
    -0.43
     đình
    -0.43
     appreciated
    -0.40
     zade
    -0.38
    coque
    -0.38
    voorbeeld
    -0.37
    iciaries
    -0.37
    ließlich
    -0.36
    endregion
    -0.36
    POSITIVE LOGITS
     disease
    1.83
     diseases
    1.77
     Disease
    1.71
     DISEASE
    1.63
    Disease
    1.63
    disease
    1.62
     Diseases
    1.58
     illness
    1.58
     sickness
    1.56
     maladie
    1.55
    Activations Density 0.312%

    No Known Activations