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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. 9750
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    terms related to chronic inflammatory and metabolic diseases

    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
    ftagPool
    -0.86
    enterOuterAlt
    -0.79
    setVerticalGroup
    -0.74
    StoryboardSegue
    -0.61
    ScopeManager
    -0.61
    webElementXpaths
    -0.60
     BoxFit
    -0.59
    Personendaten
    -0.58
    
    -0.57
     uLocal
    -0.57
    POSITIVE LOGITS
     diseases
    1.70
     disease
    1.55
     disorders
    1.31
     Diseases
    1.25
    diseases
    1.21
     disorder
    1.20
     illnesses
    1.19
    disease
    1.16
    Diseases
    1.15
     illness
    1.11
    Activations Density 0.894%

    No Known Activations