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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 10671
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    Explanations

    phrases related to optimization and training processes in machine learning

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

    Machine learning algorithms or optimization methods

    np_acts-logits-general · gemini-2.0-flash

    optimization and training algorithms

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     secar
    -0.38
     autorytatywna
    -0.37
     فريبيس
    -0.36
    立
    -0.36
    acamata
    -0.34
     blades
    -0.33
     derselbe
    -0.33
     cuts
    -0.32
     Nagel
    -0.32
     mesmas
    -0.32
    POSITIVE LOGITS
    ActionCreators
    0.61
    ➯
    0.51
    cipline
    0.48
    WithIOException
    0.48
    ruct
    0.47
     tré
    0.46
     Bootcamp
    0.46
    ophanes
    0.46
     Training
    0.45
    learning
    0.45
    Activations Density 0.480%

    No Known Activations