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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. 216
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    INDEX
    Explanations

    phrases related to quantitative analysis and measurements

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

    "quantitative" or "quantitatively"

    np_acts-logits-general · gemini-2.0-flash

    quantitative analysis

    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
     resourceCulture
    -0.67
     المعيارى
    -0.58
    ViewImports
    -0.52
    adaptiveStyles
    -0.52
     AssemblyCulture
    -0.50
    лтемелер
    -0.49
     Wikimedijinoj
    -0.49
    piram
    -0.48
     iconLine
    -0.47
     препратки
    -0.47
    POSITIVE LOGITS
     quantitative
    1.41
    quantitative
    1.23
    Quantitative
    1.22
     Quantitative
    1.20
     quantitatively
    1.17
     quantify
    1.09
     quantification
    1.02
     quantified
    1.00
     quantit
    0.97
     quanti
    0.96
    Activations Density 0.627%

    No Known Activations