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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 7322
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    terms related to obesity and metabolic health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hospice
    -0.35
    floor
    -0.35
     lacrosse
    -0.34
     gladi
    -0.33
     hawk
    -0.31
    Floor
    -0.31
     gong
    -0.31
     Floor
    -0.31
     Fle
    -0.30
    登
    -0.30
    POSITIVE LOGITS
     fat
    2.58
     Fat
    2.23
    Fat
    2.19
    fat
    2.08
     FAT
    1.86
     fats
    1.81
    FAT
    1.75
     fatty
    1.72
     grasa
    1.67
     graisse
    1.66
    Activations Density 0.513%

    No Known Activations