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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. 4127
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    Explanations

    terms related to the processing and grinding of materials

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

    associated with crushing or powdering

    np_acts-logits-general · gemini-2.0-flash

    grinding, milling, and crushing

    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
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.72
     &___
    -0.69
    LLocation
    -0.68
    ⓧ
    -0.67
    TestingModule
    -0.66
    saraba
    -0.63
    verwijspagina
    -0.63
    PerformLayout
    -0.62
    IsPostBack
    -0.61
     témoig
    -0.60
    POSITIVE LOGITS
     grinding
    0.96
     grind
    0.88
     Grinding
    0.85
     grinder
    0.83
     Grind
    0.78
     Grinder
    0.73
     mill
    0.71
    Grind
    0.71
    grind
    0.64
     Mill
    0.59
    Activations Density 0.225%

    No Known Activations