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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 16216
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    Explanations

    quantities related to nutritional content in food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     متعلقه
    -0.73
     Golden
    -0.53
    RectangleBorder
    -0.53
    enderror
    -0.53
    CrossRef
    -0.51
    Xna
    -0.51
    Tron
    -0.51
     InputDecoration
    -0.50
    
    -0.48
    Gön
    -0.47
    POSITIVE LOGITS
     mg
    1.33
    mg
    1.27
     milligrams
    1.18
     мг
    0.80
    ㎎
    0.76
     grams
    0.75
    MG
    0.74
     MG
    0.70
    grams
    0.70
    ug
    0.69
    Activations Density 0.642%

    No Known Activations