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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. 9706
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    INDEX
    Explanations

    titles and honorifics associated with individuals

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

    Titles: Sir, Lady, Lord, etc

    np_acts-logits-general · gemini-2.0-flash

    Sir, Lady, Lord titles

    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
     Grüsse
    -0.45
    ्रिया
    -0.43
    paravant
    -0.43
     Reese
    -0.43
    utebol
    -0.42
     lazos
    -0.42
    ๆ
    -0.42
    曖昧さ回避
    -0.42
     Suicide
    -0.42
     Insee
    -0.42
    POSITIVE LOGITS
     Sir
    1.55
    Sir
    1.52
     Lady
    1.45
     LADY
    1.36
    Lady
    1.36
     sir
    1.33
     lady
    1.28
    lady
    1.23
     SIR
    1.16
     Lord
    1.13
    Activations Density 0.252%

    No Known Activations