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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7483
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    Explanations

    terms related to treatment efficacy and patient responses in medical studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sidemargin
    -0.63
    MethodManager
    -0.57
     Worry
    -0.56
    ItemBackground
    -0.54
     Saka
    -0.52
    computing
    -0.52
     sofa
    -0.52
    Brat
    -0.52
    BagConstraints
    -0.51
    rungsseite
    -0.51
    POSITIVE LOGITS
     effectiveness
    0.84
     efficacy
    0.78
    効果
    0.70
     efekty
    0.66
     Effectiveness
    0.65
    Effectiveness
    0.64
    の効果
    0.63
    effectiveness
    0.62
    效果
    0.61
     эффективность
    0.60
    Activations Density 0.805%

    No Known Activations