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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. 5790
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    Explanations

    phrases related to medical conditions and their associations with lifestyle factors

    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
    WithIOException
    -0.63
    httphttps
    -0.62
    ListItemIcon
    -0.61
     كومونز
    -0.61
    tagHelperRunner
    -0.61
    
    -0.59
     gynhyrchwyd
    -0.57
     محفوظة
    -0.57
    SequentialGroup
    -0.55
     insuffisamment
    -0.54
    POSITIVE LOGITS
     weight
    1.35
     Weight
    1.23
     obesity
    1.17
    Weight
    1.09
    weight
    1.07
     Obesity
    1.06
     overweight
    1.05
     obese
    1.05
     WEIGHT
    1.04
     dieting
    1.04
    Activations Density 0.516%

    No Known Activations