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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 924
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    Explanations

    references to quality assessment and improvement

    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
     noiva
    -0.33
     orphanage
    -0.32
    Einsatz
    -0.30
     tatuajes
    -0.29
     sneaker
    -0.29
     esportivo
    -0.28
     recent
    -0.28
     unve
    -0.28
     next
    -0.28
    orElse
    -0.28
    POSITIVE LOGITS
     quality
    4.41
    Quality
    3.98
    quality
    3.98
     Quality
    3.92
     QUALITY
    3.73
    QUALITY
    3.42
     qualidade
    3.27
     calidad
    3.27
     Qualität
    3.17
     qualité
    3.09
    Activations Density 0.113%

    No Known Activations