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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3873
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    terms related to lung conditions and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ፩
    -0.63
     disambiguazione
    -0.54
    Tikang
    -0.51
     Приступљено
    -0.50
     createSprite
    -0.50
     VOLTAGE
    -0.50
    Personendaten
    -0.49
    makeConstraints
    -0.48
    SharedCtor
    -0.48
     resourceCulture
    -0.48
    POSITIVE LOGITS
     lungs
    1.02
     lung
    0.90
     respiratory
    0.88
     Lung
    0.87
    肺
    0.85
     Respiratory
    0.82
     pulmon
    0.79
    Lung
    0.79
     pneumonia
    0.75
     pulmonary
    0.75
    Activations Density 0.738%

    No Known Activations