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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11959
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    Explanations

    terms related to liver and kidney health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kade
    -0.52
    extré
    -0.44
     Boko
    -0.44
     Kalam
    -0.43
     kaarangay
    -0.42
     toe
    -0.42
    autoFocus
    -0.42
     Pless
    -0.42
     Footh
    -0.41
     Ons
    -0.41
    POSITIVE LOGITS
     liver
    1.21
     Liver
    1.13
    Liver
    1.07
     hígado
    1.02
     hepatic
    0.96
     livers
    0.95
     LIVER
    0.94
     hepat
    0.84
     печени
    0.78
    肝
    0.78
    Activations Density 0.255%

    No Known Activations