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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 427
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    Explanations

    food quality and dining experience descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.68
     informée
    -0.65
    PreInfinity
    -0.61
    homonymie
    -0.61
     lenker
    -0.60
    ⓧ
    -0.59
     ivelany
    -0.57
    Билгалдахарш
    -0.56
    下载附件
    -0.56
    蚪
    -0.56
    POSITIVE LOGITS
     quality
    0.54
     qualité
    0.47
     calidad
    0.46
    quality
    0.43
     qualidade
    0.41
     QUALITY
    0.38
     качество
    0.36
    Quality
    0.36
     tasted
    0.36
     cocin
    0.34
    Activations Density 0.077%

    No Known Activations