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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 18562
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    INDEX
    Explanations

    references to specific locations or destinations

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

    resort towns and seaside locations

    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
    كويكب
    -0.47
    хьтан
    -0.40
    kreises
    -0.39
     Warehouse
    -0.38
     warehouse
    -0.38
     Werkstatt
    -0.37
    Warehouse
    -0.35
    OCCURRED
    -0.35
     Regensburg
    -0.35
    adaptiveStyles
    -0.34
    POSITIVE LOGITS
     resort
    1.34
     resorts
    1.19
    resort
    1.18
    Resort
    1.13
     Resort
    1.05
     куро
    1.02
     Resorts
    0.99
     balne
    0.97
     seaside
    0.85
     beach
    0.84
    Activations Density 0.038%

    No Known Activations