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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 15766
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    INDEX
    Explanations

    key concepts related to efficiency and improvement in industrial processes

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

    process improvement methodologies

    np_acts-logits-general · gemini-2.0-flash

    continuous improvement

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    curities
    -0.63
    aarrggbb
    -0.59
    脚注の使い方
    -0.59
    rrggbb
    -0.54
    hydrate
    -0.53
    racite
    -0.53
    FirebaseAuth
    -0.52
    twimg
    -0.52
    Atsauces
    -0.52
    дарь
    -0.50
    POSITIVE LOGITS
     Lean
    0.96
     Process
    0.95
     process
    0.91
    Lean
    0.87
    Process
    0.86
     Quality
    0.85
     lean
    0.85
     quality
    0.85
    LEAN
    0.81
    Quality
    0.80
    Activations Density 0.146%

    No Known Activations