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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. 14277
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    Explanations

    references to the Peugeot brand and its vehicles

    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
     zit
    -0.28
     Unterscheidung
    -0.27
     cells
    -0.27
     gathers
    -0.26
     arbejds
    -0.26
     Innenstadt
    -0.26
    MOUS
    -0.26
     správ
    -0.25
     ochron
    -0.25
     Phase
    -0.24
    POSITIVE LOGITS
     Chevrolet
    0.86
     Volvo
    0.85
     Nissan
    0.85
    Chevrolet
    0.84
     Citroën
    0.84
     Mercedes
    0.82
     Audi
    0.82
     Volkswagen
    0.82
    Audi
    0.81
    Mercedes
    0.80
    Activations Density 0.450%

    No Known Activations