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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3439
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    phrases related to public transportation and commuting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     queſto
    -0.54
    Хьажоргаш
    -0.53
    protoimpl
    -0.52
    InputTagHelper
    -0.52
     विश्वसनीयता
    -0.51
     QtWidgets
    -0.51
    httphttps
    -0.50
     Menſchen
    -0.49
    niſſe
    -0.49
     الرياضيه
    -0.48
    POSITIVE LOGITS
     commute
    0.65
     commuting
    0.59
     Commute
    0.51
     commuters
    0.51
     commuter
    0.49
     lunch
    0.47
    tanleria
    0.44
     lunches
    0.43
    通勤
    0.41
     lunchtime
    0.39
    Activations Density 0.347%

    No Known Activations