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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. 15256
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    INDEX
    Explanations

    the word "many" and its repeated use to emphasize quantity

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

    as many as

    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
    Not in Any Lists

    No Comments

    Negative Logits
     yii
    -0.39
     Unter
    -0.36
    เลย
    -0.36
    lıyor
    -0.35
    very
    -0.35
     vườn
    -0.34
    albero
    -0.34
     muy
    -0.34
    ApplicationTests
    -0.33
    受
    -0.33
    POSITIVE LOGITS
     հղումներ
    0.77
    CodedInputStream
    0.64
     <>",
    0.63
    asmuch
    0.62
     المعيارى
    0.62
     CreateTagHelper
    0.60
     Administrativna
    0.60
     Biôgrafia
    0.59
     leſs
    0.58
     AssemblyCompany
    0.58
    Activations Density 0.008%

    No Known Activations