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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 94028
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    INDEX
    Explanations

    phrases related to lubrication and extreme pressure applications

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    lubrication and pressure

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Życiorys
    -0.58
    UrlResolution
    -0.51
    portál
    -0.48
     NSCoder
    -0.48
    StoryboardSegue
    -0.46
    AsUp
    -0.44
    gonic
    -0.42
     dispoz
    -0.42
    MessageTagHelper
    -0.40
     Numerade
    -0.40
    POSITIVE LOGITS
     lubricant
    0.72
     للاسماء
    0.70
     lubricants
    0.69
     oil
    0.68
     lubrication
    0.66
     lubricating
    0.62
     lubric
    0.62
     Lubric
    0.60
    oil
    0.54
     Oil
    0.54
    Activations Density 0.105%

    No Known Activations