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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. 10259
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    Explanations

    references to dining settings and experiences

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

    "dining" and dining-related words

    np_acts-logits-general · gemini-2.0-flash

    dining room

    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
    parsedMessage
    -0.67
     autorytatywna
    -0.54
     kasarigan
    -0.50
     ویکی‌پدی
    -0.49
    consulté
    -0.49
    存于互联网档案馆
    -0.48
     Normdatei
    -0.47
     Audiodateien
    -0.47
     propOrder
    -0.46
    bcryptjs
    -0.46
    POSITIVE LOGITS
     dining
    1.05
     Dining
    0.98
    Dining
    0.98
    dining
    0.94
     dine
    0.78
     comedor
    0.70
     dined
    0.67
    Dine
    0.63
     Dine
    0.62
     diners
    0.61
    Activations Density 0.099%

    No Known Activations