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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12713
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    INDEX
    Explanations

    contexts related to London, particularly in healthcare

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

    "London"

    np_acts-logits-general · gemini-2.0-flash

    London boroughs and locations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Malawi
    -0.44
     Catan
    -0.44
    Rh
    -0.42
     Rh
    -0.41
     Lakeland
    -0.41
     Youngstown
    -0.41
     Knoxville
    -0.41
     Hilo
    -0.41
    県
    -0.40
     Waikato
    -0.40
    POSITIVE LOGITS
     London
    0.95
    London
    0.91
     Londres
    0.83
     LONDON
    0.83
     london
    0.80
    london
    0.79
    伦敦
    0.79
     Londra
    0.75
    東京都
    0.73
    LONDON
    0.73
    Activations Density 0.215%

    No Known Activations