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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7345
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    Explanations

    names of cities and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     nahilalakip
    -0.42
    Varint
    -0.40
    IBarButtonItem
    -0.38
     Cajun
    -0.38
    ronesia
    -0.36
     Lesotho
    -0.35
     Ragnarok
    -0.35
    ValueStyle
    -0.35
     Ră
    -0.35
     Thü
    -0.35
    POSITIVE LOGITS
     London
    1.09
     Tokyo
    1.06
     Mumbai
    1.02
     Amsterdam
    1.01
    London
    1.00
     Paris
    0.98
     Sydney
    0.96
    Tokyo
    0.96
     Londres
    0.94
    Amsterdam
    0.94
    Activations Density 0.505%

    No Known Activations