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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1600
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    INDEX
    Explanations

    references to federal entities and laws

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

    "federal" followed by another word

    np_acts-logits-general · gemini-2.0-flash

    federal Defendants

    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
     deportivo
    -0.39
    MENAFN
    -0.39
     Soporte
    -0.38
     surla
    -0.37
    entretien
    -0.37
     Comunicação
    -0.35
     apuesta
    -0.35
    capaian
    -0.35
    ciorys
    -0.34
     Kuchen
    -0.34
    POSITIVE LOGITS
     Federal
    2.13
     federal
    2.08
    Federal
    1.97
    federal
    1.85
     FEDERAL
    1.77
     federally
    1.45
    联邦
    1.41
     fédéral
    1.30
    ederal
    1.30
     федера
    1.30
    Activations Density 0.317%

    No Known Activations