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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 70430
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    INDEX
    Explanations

    terms related to combustion and fuel efficiency

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

    burning rate and velocity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    UnusedPrivate
    -0.63
    MessageTagHelper
    -0.49
    bitField
    -0.47
    TypedDataSet
    -0.47
    matchCondition
    -0.45
     EconPapers
    -0.44
     disambiguazione
    -0.44
    PMailer
    -0.43
     saltwater
    -0.43
    abestanden
    -0.43
    POSITIVE LOGITS
     combustion
    0.95
     burning
    0.79
     Combustion
    0.79
     flame
    0.79
     flames
    0.78
    bustion
    0.77
     fuel
    0.75
     burn
    0.75
     combust
    0.68
    燃
    0.68
    Activations Density 0.078%

    No Known Activations