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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4239
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    Explanations

    references to the quality and sources of chemical materials used in scientific preparations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ligiloj
    -0.65
     kasarigan
    -0.64
     MainAxisSize
    -0.63
    ArgumentParser
    -0.63
    Билгалдахарш
    -0.62
    Scénario
    -0.59
    cifix
    -0.59
     trellis
    -0.59
     EconPapers
    -0.58
     للمعارف
    -0.58
    POSITIVE LOGITS
     quality
    0.95
    quality
    0.77
     Quality
    0.76
     qualité
    0.72
    Quality
    0.72
     QUALITY
    0.71
     kwaliteit
    0.69
    QUALITY
    0.66
     qualità
    0.66
    品質
    0.64
    Activations Density 0.485%

    No Known Activations