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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5399
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    INDEX
    Explanations

    specific vehicle types and their features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    TypedDataSet
    -0.47
    PackageInfo
    -0.47
     ajedrez
    -0.45
     StatefulWidget
    -0.42
     PCI
    -0.42
     PSN
    -0.42
     Dolphins
    -0.41
     affaires
    -0.39
     IC
    -0.38
     Liszt
    -0.38
    POSITIVE LOGITS
     jeep
    0.65
     rugged
    0.64
     wilderness
    0.61
     Jeep
    0.60
     outdoors
    0.57
     Rugged
    0.56
     expedition
    0.56
    outdoor
    0.55
     SUV
    0.54
     Wilderness
    0.54
    Activations Density 0.216%

    No Known Activations