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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. 12887
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    terminology and references related to public transportation systems

    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
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    Negative Logits
     Anbau
    -0.38
    stehen
    -0.37
     frågor
    -0.37
    Tribute
    -0.36
     зді
    -0.36
    voja
    -0.36
    Superview
    -0.35
     cheminée
    -0.35
    CDCl
    -0.35
     Tribute
    -0.35
    POSITIVE LOGITS
     subway
    0.77
     metro
    0.67
     Metro
    0.64
    地下鉄
    0.61
     հղումներ
    0.60
     Underground
    0.60
     метро
    0.58
    Metro
    0.57
    Underground
    0.57
     métro
    0.57
    Activations Density 0.188%

    No Known Activations