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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 96222
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    Explanations

    references to the city of Seoul, particularly in relation to educational and medical institutions

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

    Seoul, Lebesgue measure

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    getDoctrine
    -0.50
     Pritchard
    -0.49
     MaterialApp
    -0.43
     padx
    -0.43
     Larsen
    -0.42
    Tracy
    -0.41
     Tracy
    -0.40
    Whitney
    -0.40
    xiii
    -0.39
    hasData
    -0.39
    POSITIVE LOGITS
     Seoul
    2.23
    Seoul
    1.98
     seoul
    1.36
     서울
    1.07
    ソウル
    0.89
    서울
    0.86
     Tokyo
    0.81
     Beijing
    0.75
     Seul
    0.74
    Tokyo
    0.74
    Activations Density 0.004%

    No Known Activations