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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 11342
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    Explanations

    references to specific brands or entities, particularly BMW, in contexts relating to legal or economic discussions

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

    BMW or Bavarian car brands

    np_acts-logits-general · gemini-2.0-flash

    BMW

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.74
    protoc
    -0.70
     Antioch
    -0.65
    quelize
    -0.65
     kasarigan
    -0.64
    ztal
    -0.63
    ⎩
    -0.63
    DebuggerNonUser
    -0.63
    msgTypes
    -0.62
     Volcan
    -0.62
    POSITIVE LOGITS
     BMW
    0.92
    BMW
    0.81
    bmw
    0.75
     Bav
    0.71
     bmw
    0.70
     Bavarian
    0.63
     Munich
    0.62
     xdrive
    0.62
    Bav
    0.59
     Bavaria
    0.56
    Activations Density 0.098%

    No Known Activations