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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 304
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    INDEX
    Explanations

    actions and processes related to mechanical or material preparation and modification

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

    Abrasive processes like sanding, polishing, or grinding

    np_acts-logits-general · gemini-2.0-flash

    abrasive surface smoothing actions

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    cloudf
    -0.40
    ViewInit
    -0.39
    المراجع
    -0.39
     NgModule
    -0.38
     cioccolato
    -0.37
    Välislingid
    -0.37
     уч
    -0.37
    VersionUID
    -0.37
    的眼
    -0.36
     &___
    -0.35
    POSITIVE LOGITS
     sanding
    0.72
     sandpaper
    0.69
     polishing
    0.58
     grinding
    0.57
     Grinding
    0.56
    inSlope
    0.54
     grinder
    0.54
     grind
    0.53
     sander
    0.52
    磨
    0.52
    Activations Density 0.361%

    No Known Activations