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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 1605
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    Explanations

    formal addresses or greetings specifically using the term "sir."

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

    formal address terms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     popularidad
    -0.50
     pilote
    -0.45
     deuda
    -0.45
     amitié
    -0.45
    RoleName
    -0.43
     rejoindre
    -0.42
     déco
    -0.41
     alianza
    -0.41
     fondos
    -0.40
     alegría
    -0.40
    POSITIVE LOGITS
     sir
    0.82
     Sir
    0.73
    Sir
    0.69
     SIR
    0.64
     Madam
    0.63
     gentleman
    0.63
     gentlemen
    0.61
     Gentlemen
    0.61
    Gentlemen
    0.60
     madam
    0.59
    Activations Density 0.022%

    No Known Activations