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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12537
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    Explanations

    references to different types of fat in a biological or medical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    floor
    -0.37
     Floors
    -0.34
    Floor
    -0.33
     gladi
    -0.32
     sàn
    -0.32
     provisional
    -0.31
     Floor
    -0.31
     Hospice
    -0.30
    Diwedd
    -0.30
    义
    -0.30
    POSITIVE LOGITS
     fat
    2.19
     Fat
    1.98
    Fat
    1.91
    fat
    1.80
     fats
    1.66
     FAT
    1.61
    FAT
    1.56
     grasa
    1.52
     fatty
    1.51
     graisse
    1.51
    Activations Density 0.368%

    No Known Activations