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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11936
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    Explanations

    words and terms associated with cardiovascular health and metabolic risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.68
    awtextra
    -0.61
    tanleria
    -0.58
     malade
    -0.51
    出版年
    -0.51
    matchCondition
    -0.50
     malades
    -0.50
     enfermos
    -0.50
     enfermo
    -0.49
    商品説明
    -0.48
    POSITIVE LOGITS
     objectively
    0.52
     associations
    0.49
     loneliness
    0.48
     participants
    0.46
     perceived
    0.45
     adi
    0.45
     mindfulness
    0.45
     cognitive
    0.44
     perceptions
    0.43
     tel
    0.43
    Activations Density 2.958%

    No Known Activations