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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 9100
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    INDEX
    Explanations

    elements related to communication and correspondence, particularly letters and invitations

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

    mail and letters

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WeChat
    -0.46
     ActivatedRoute
    -0.42
     lenker
    -0.42
     Weibo
    -0.42
    WhatsApp
    -0.41
    rakech
    -0.40
    HasAnnotation
    -0.40
    WeChat
    -0.40
    IVEREF
    -0.40
    Тарихы
    -0.38
    POSITIVE LOGITS
     correspondence
    1.21
     mail
    1.18
     Correspondence
    1.09
    Correspondence
    1.04
     mailed
    1.02
     letters
    1.00
    correspond
    0.99
     CORRESPOND
    0.94
     letter
    0.94
     correspondance
    0.93
    Activations Density 0.091%

    No Known Activations