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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11276
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    Explanations

    references to specific geographical locations, particularly Beijing and Delhi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.70
    Manuscript
    -0.61
     Kalam
    -0.60
    InputBorder
    -0.59
     acorns
    -0.58
     durations
    -0.58
     Matos
    -0.58
    wpi
    -0.57
     يتيمه
    -0.57
    ooplankton
    -0.57
    POSITIVE LOGITS
     Delhi
    2.59
    Delhi
    2.34
     DELHI
    2.04
     delhi
    1.72
     दिल्ली
    1.49
    riwal
    0.95
     Canberra
    0.93
     Abuja
    0.93
     Beijing
    0.92
     Ottawa
    0.87
    Activations Density 0.096%

    No Known Activations