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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 2400
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    INDEX
    Explanations

    phrases related to the process of soaking ingredients

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

    soaking or marinating overnight

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ⓧ
    -0.47
    SourceChecksum
    -0.45
    AccessorTable
    -0.43
     Administrativna
    -0.40
    oredCriteria
    -0.38
     Italijani
    -0.38
     Tomaten
    -0.37
     tomate
    -0.36
    HAEL
    -0.35
    Rujuakan
    -0.35
    POSITIVE LOGITS
     soaking
    1.10
     soak
    1.09
     Soak
    1.02
     overnight
    1.02
     soaked
    0.95
     Overnight
    0.84
    Overnight
    0.82
    soaked
    0.71
    vernight
    0.69
     night
    0.62
    Activations Density 0.035%

    No Known Activations