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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 5627
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    Explanations

    specific geographic locations and names related to trails and parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.49
    UrlResolution
    -0.47
     utafitiHapana
    -0.45
    adaptiveStyles
    -0.45
     Italijanski
    -0.45
     nonUne
    -0.45
    ViewFeatures
    -0.44
    ScopeManager
    -0.42
    ifikationer
    -0.42
    MessageTagHelper
    -0.40
    POSITIVE LOGITS
     suburban
    0.77
     Suburban
    0.66
     suburb
    0.64
     suburbs
    0.61
     Bekasi
    0.54
     Middlesex
    0.51
     Selangor
    0.51
     commuter
    0.50
     Westchester
    0.50
     Tangerang
    0.49
    Activations Density 0.992%

    No Known Activations