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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 4101
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    INDEX
    Explanations

    terms related to fat content and dietary fat

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     tartalomajánló
    -1.11
    ---*/
    -1.02
     EconPapers
    -0.97
     AssemblyCompany
    -0.96
     الحره
    -0.96
    setVerticalGroup
    -0.96
    posedge
    -0.96
     pinulongan
    -0.94
    ItemBackground
    -0.93
    :✨
    -0.91
    POSITIVE LOGITS
     fat
    2.21
     Fat
    1.96
    fat
    1.93
    Fat
    1.90
     FAT
    1.75
    FAT
    1.57
     Fats
    1.55
     fats
    1.50
     fatty
    1.25
     fatt
    1.21
    Activations Density 0.056%

    No Known Activations