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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 6367
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    Explanations

    references to quality and effectiveness in various contexts, particularly in relation to accuracy and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    technical language about performance, efficiency, and evaluation metrics.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.68
     Normdatei
    -0.68
     typelib
    -0.60
     betweenstory
    -0.58
    ंदीखरीदारी
    -0.56
     disambiguazione
    -0.54
     désolés
    -0.54
     estekak
    -0.54
    <unused26>
    -0.54
    inheritDoc
    -0.54
    POSITIVE LOGITS
     performance
    0.41
     efficacy
    0.34
     contenuto
    0.34
     authentique
    0.33
     conteúdo
    0.33
     contenido
    0.33
     arbejde
    0.32
     inhoud
    0.32
     Performance
    0.32
     vérit
    0.32
    Activations Density 0.347%

    No Known Activations