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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 13790
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    Explanations

    terms related to cardiovascular health and metabolic disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normdatei
    -0.66
    writeField
    -0.60
     isInitialized
    -0.58
    errHandler
    -0.57
    ForResult
    -0.56
    må
    -0.54
    رشف
    -0.53
    liceerd
    -0.52
    SBATCH
    -0.51
     fiori
    -0.50
    POSITIVE LOGITS
     cholesterol
    1.11
    therosclerosis
    1.10
    olesterol
    1.07
     Cholesterol
    1.02
     LDL
    0.93
     lipoprotein
    0.90
    olester
    0.85
     HDL
    0.81
    theros
    0.78
     colesterol
    0.74
    Activations Density 1.145%

    No Known Activations