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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8022
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    INDEX
    Explanations

    references to law enforcement officers

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

    "officer" (or pluralizations)

    np_acts-logits-general · gemini-2.0-flash

    officers and their roles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     huur
    -0.49
    forRoot
    -0.44
     bestaande
    -0.42
     wią
    -0.42
     Hamas
    -0.40
     szuka
    -0.40
     twier
    -0.39
     fechar
    -0.39
     Big
    -0.38
     Haywood
    -0.38
    POSITIVE LOGITS
     officer
    2.06
    Officer
    2.00
     Officer
    2.00
     Officers
    1.98
     officers
    1.96
    officer
    1.95
     OFFICER
    1.88
    officers
    1.86
    Officers
    1.84
     OFFICERS
    1.73
    Activations Density 0.088%

    No Known Activations