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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. 3042
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    Explanations

    references to high standards and quality in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    XmlAccessorType
    -0.51
    RenderAtEndOf
    -0.49
     timelines
    -0.48
     Johnstone
    -0.46
     Espinosa
    -0.45
     Donahue
    -0.45
     timeline
    -0.45
    sterious
    -0.44
    issory
    -0.44
     Timeline
    -0.44
    POSITIVE LOGITS
     quality
    1.14
    quality
    1.03
     qualidade
    0.97
     Quality
    0.94
    Quality
    0.94
     calidad
    0.94
     QUALITY
    0.93
     kwaliteit
    0.91
     Qualität
    0.87
     qualité
    0.86
    Activations Density 0.358%

    No Known Activations