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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. 15648
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    INDEX
    Explanations

    specific brands and models of cars, particularly in the context of competitive racing

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

    Corvette and Corning

    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
     Jugendlichen
    -0.39
    옴
    -0.35
    ributes
    -0.35
     tuc
    -0.33
    memset
    -0.33
     podéis
    -0.31
    DOCTYPE
    -0.31
     coal
    -0.30
     פש
    -0.30
    craina
    -0.30
    POSITIVE LOGITS
     Corvette
    0.63
     propOrder
    0.62
    出版年
    0.57
    WebVitals
    0.56
     corvette
    0.55
    WithIOException
    0.55
    MethodManager
    0.54
    vettes
    0.52
    يميديا
    0.52
    webElementXpaths
    0.52
    Activations Density 0.032%

    No Known Activations