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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. 8018
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    INDEX
    Explanations

    references to government and organizational offices

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

    "Office" or "Bureau" followed by a department or entity

    np_acts-logits-general · gemini-2.0-flash

    office of X

    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
    WithIdentifier
    -0.49
    bitField
    -0.48
     professeur
    -0.48
     duduk
    -0.44
    onAttach
    -0.44
     EconPapers
    -0.43
     mijne
    -0.42
     Expédié
    -0.42
     profesor
    -0.41
     docteur
    -0.40
    POSITIVE LOGITS
     Bureau
    0.85
     Office
    0.84
    Bureau
    0.77
     bureau
    0.77
     BUREAU
    0.69
     office
    0.68
     Directorate
    0.67
     bureaus
    0.67
     Offices
    0.67
    Office
    0.66
    Activations Density 0.266%

    No Known Activations