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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 10736
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    Explanations

    references to urban settings and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     SwiftUI
    -0.52
    ctuaries
    -0.52
     Pools
    -0.52
     ſch
    -0.51
     scan
    -0.50
     pooling
    -0.49
     strateg
    -0.49
     ſche
    -0.49
     scanning
    -0.48
     Scanning
    -0.48
    POSITIVE LOGITS
    Urban
    0.91
    urban
    0.84
     Urban
    0.84
     urban
    0.82
     URBAN
    0.69
    URBAN
    0.66
     urbanos
    0.65
     topped
    0.52
     urbanas
    0.50
     rural
    0.43
    Activations Density 0.112%

    No Known Activations