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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3856
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    INDEX
    Explanations

    references to measurements and statistics related to mileage and vehicle performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hjælp
    -0.52
     civilización
    -0.52
     intérêt
    -0.52
    Personendaten
    -0.51
     Spuren
    -0.50
     Manns
    -0.49
     trône
    -0.48
     ánimo
    -0.48
     actualidad
    -0.47
    Rcpp
    -0.46
    POSITIVE LOGITS
     mileage
    0.60
     Miles
    0.56
     miles
    0.55
     Mileage
    0.51
    Miles
    0.50
     MILES
    0.46
     mile
    0.45
    Mileage
    0.45
    miles
    0.45
     km
    0.42
    Activations Density 0.170%

    No Known Activations