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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 9848
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    Explanations

    references to efficiency and waste reduction in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.79
    httphttps
    -0.62
    Билгалдахарш
    -0.54
    scriptcase
    -0.51
     PopupWindow
    -0.50
    GEBURTSDATUM
    -0.50
    AndEndTag
    -0.47
    niti
    -0.46
    odeon
    -0.44
    ற்ப
    -0.43
    POSITIVE LOGITS
    無駄
    1.08
     efficiency
    1.06
     inefficient
    1.05
     wasteful
    1.04
     efficiencies
    1.04
     wastes
    1.03
     wasted
    1.03
     efficient
    0.99
     inefficiency
    0.98
     waste
    0.95
    Activations Density 0.421%

    No Known Activations