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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 41746
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    Explanations

    references to specific machine learning algorithms and techniques related to ensemble methods and feature selection

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

    boosted forest machine learning

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CppMethod
    -0.58
     муніципалі
    -0.49
    setLayoutManager
    -0.46
    tinyos
    -0.44
    apimachinery
    -0.43
    ләр
    -0.43
    WindowConstants
    -0.43
    sidemargin
    -0.43
    Билгалдахарш
    -0.43
     Мексичка
    -0.42
    POSITIVE LOGITS
    forests
    0.45
    Forest
    0.44
     Forest
    0.43
     boosting
    0.42
     Forests
    0.41
     bosques
    0.40
    iast
    0.40
     forests
    0.40
     timberland
    0.40
    forest
    0.39
    Activations Density 0.009%

    No Known Activations