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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 39983
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    INDEX
    Explanations

    connections between patient characteristics, lifestyle factors, and health outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    personal and environmental factors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.54
    Vidite
    -0.46
     bal
    -0.46
    enumi
    -0.45
    TagMode
    -0.42
    terness
    -0.40
    suk
    -0.40
     revo
    -0.39
    ագրություններ
    -0.39
    ofür
    -0.39
    POSITIVE LOGITS
     factors
    0.81
    factors
    0.65
     Factors
    0.60
     factores
    0.59
     facteurs
    0.59
     للاسماء
    0.58
     факторов
    0.55
     Faktoren
    0.53
     fattori
    0.52
     characteristics
    0.52
    Activations Density 0.071%

    No Known Activations