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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11260
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    Explanations

    references to legal terms and procedures related to injuries in the context of employment

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

    Virginia and Maryland legal cases

    np_acts-logits-general · gemini-2.0-flash

    legal citations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notag
    -0.52
    مرار
    -0.51
    APORE
    -0.51
     sa
    -0.50
    pivot
    -0.49
     ausz
    -0.49
     Beauchamp
    -0.47
    omitempty
    -0.46
     jo
    -0.46
    arate
    -0.46
    POSITIVE LOGITS
     Maryland
    0.98
     Potomac
    0.93
     Chesapeake
    0.92
    Maryland
    0.90
     Virginia
    0.89
     VIRGINIA
    0.89
     Charlottesville
    0.84
     Annapolis
    0.83
     Baltimore
    0.81
     virginia
    0.79
    Activations Density 0.342%

    No Known Activations