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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3239
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    Explanations

    references to tissue, specifically in medical or biological contexts

    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
    floxacin
    -0.86
    enterOuterAlt
    -0.85
    BeginContext
    -0.85
    parsedMessage
    -0.85
     мәкал
    -0.83
     Réponses
    -0.82
     Normdatei
    -0.80
     ویکی‌پدی
    -0.79
    adaptiveStyles
    -0.78
     Flooring
    -0.77
    POSITIVE LOGITS
     tissue
    0.94
     Tissue
    0.85
     tissues
    0.82
    Tissue
    0.74
     Pech
    0.70
     vegetable
    0.68
     Crystal
    0.65
     tissu
    0.64
     structure
    0.63
    ("</
    0.63
    Activations Density 0.132%

    No Known Activations