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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8287
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    Explanations

    issues related to quality and adequacy in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dumne
    -0.36
     feroit
    -0.32
     presidencial
    -0.31
    下载附件
    -0.31
     ARRANG
    -0.31
     BorderRadius
    -0.30
    ibatis
    -0.29
    ANZE
    -0.29
    ungkin
    -0.28
    Билгалдахарш
    -0.28
    POSITIVE LOGITS
     quality
    3.66
    quality
    3.23
    Quality
    3.09
     Quality
    3.05
     QUALITY
    2.94
     calidad
    2.75
     qualidade
    2.72
     Qualität
    2.70
    QUALITY
    2.69
     qualité
    2.66
    Activations Density 0.521%

    No Known Activations