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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14801
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    references to healthcare satisfaction and quality metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.51
     nourrir
    -0.44
     fotográfica
    -0.44
     battre
    -0.44
    WireFormatLite
    -0.42
     uyar
    -0.40
     uppdater
    -0.40
     pédagogique
    -0.40
     ziyaretçi
    -0.40
    Personendaten
    -0.40
    POSITIVE LOGITS
     healthcare
    1.11
     care
    0.99
     primary
    0.98
     Primary
    0.90
     health
    0.90
     Healthcare
    0.86
    healthcare
    0.83
    Primary
    0.82
    primary
    0.80
    Healthcare
    0.79
    Activations Density 0.679%

    No Known Activations