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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 20-GEMMASCOPE-RES-16K
    6. 2368
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    Explanations

    specific names and titles of people or entities, particularly in sports and media contexts

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

    references to academic citations, scientific papers, and research publications.

    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
    
    -0.42
     duda
    -0.38
     corriger
    -0.38
     gempa
    -0.35
     reprendre
    -0.35
     convaincre
    -0.35
    ximately
    -0.34
     razonable
    -0.34
     béné
    -0.34
     autorización
    -0.34
    POSITIVE LOGITS
     disambiguazione
    0.74
    queryInterface
    0.62
     Roskov
    0.57
     ujednoznacz
    0.55
    complexContent
    0.54
     surla
    0.52
     TextInputType
    0.52
     Савезне
    0.52
    Sle
    0.50
    windowFixed
    0.50
    Activations Density 0.013%

    No Known Activations