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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12046
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    Explanations

    references to mayors or city officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rural
    -0.62
     rural
    -0.61
    rural
    -0.59
     RURAL
    -0.57
     Rural
    -0.57
     provinces
    -0.54
    Provin
    -0.53
     wsi
    -0.52
     carretera
    -0.50
     Provinces
    -0.50
    POSITIVE LOGITS
     Mayor
    1.21
    Mayor
    1.18
     mayor
    1.05
     mayoral
    1.05
     MAYOR
    1.02
     city
    0.98
    mayor
    0.87
     City
    0.86
    City
    0.86
    city
    0.82
    Activations Density 0.305%

    No Known Activations