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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 43101
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    INDEX
    Explanations

    instances of the word "dining" and its variations

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

    dining etiquette

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     Stewart
    -0.50
    Groeten
    -0.49
     Kapp
    -0.49
    mochila
    -0.48
    ẫy
    -0.48
     Sheppard
    -0.47
    Empereur
    -0.47
     McLeod
    -0.47
     monstre
    -0.47
    ECTOR
    -0.46
    POSITIVE LOGITS
     dining
    2.00
     Dining
    1.98
    dining
    1.91
    Dining
    1.86
     dined
    1.32
     dine
    1.31
     Dine
    1.23
    Dine
    1.17
     diners
    1.03
     comedor
    1.02
    Activations Density 0.002%

    No Known Activations