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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7851
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    Explanations

    words associated with vulnerability in health and nutrition contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addContainerGap
    -0.56
    ositol
    -0.50
     ști
    -0.48
    ⓧ
    -0.47
     tolerancia
    -0.45
    tanleria
    -0.43
    braio
    -0.43
    addPreferredGap
    -0.43
    horesis
    -0.42
     Audiodateien
    -0.41
    POSITIVE LOGITS
     wound
    0.86
     Wound
    0.85
    Wound
    0.77
     wounds
    0.74
    wound
    0.69
     documentation
    0.68
     vulnerable
    0.64
     surgical
    0.61
     Documentation
    0.61
    documentation
    0.60
    Activations Density 0.103%

    No Known Activations