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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9143
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    Explanations

    terms related to lipid metabolism and cardiovascular health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     acento
    -0.44
    bukkit
    -0.42
    mybatisplus
    -0.40
     vė
    -0.40
     Hermione
    -0.39
     😃
    -0.39
     Normdatei
    -0.39
     Khmer
    -0.38
     snee
    -0.37
     Miley
    -0.37
    POSITIVE LOGITS
     lipid
    0.92
    Lipid
    0.92
     Lipid
    0.91
     lipids
    0.90
     fatty
    0.87
    lipid
    0.85
     Oil
    0.84
     oil
    0.82
    lipids
    0.78
     fats
    0.77
    Activations Density 0.512%

    No Known Activations