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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 15889
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    Explanations

    mentions of major cities, particularly Tokyo and Moscow

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vats
    -0.65
     المعرف
    -0.57
     useRef
    -0.54
    zeuge
    -0.54
    z
    -0.54
     good
    -0.53
     cor
    -0.52
     each
    -0.52
     полка
    -0.51
     type
    -0.51
    POSITIVE LOGITS
     Tokyo
    1.09
    Tokyo
    1.05
    LookAnd
    1.03
     Moscow
    1.01
     Beijing
    0.98
     Delhi
    0.91
     tokyo
    0.91
     ſche
    0.89
    Brussels
    0.89
     Stockholm
    0.89
    Activations Density 0.021%

    No Known Activations