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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5378
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    references to cities and their respective mayors or relevant government officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 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
    Not in Any Lists

    No Comments

    Negative Logits
     themſelves
    -1.08
     myſelf
    -0.95
     Huguen
    -0.87
     Infin
    -0.85
     ſeveral
    -0.84
     Efq
    -0.84
     uſed
    -0.80
    UrlResolution
    -0.80
     Rumania
    -0.79
     Suprema
    -0.79
    POSITIVE LOGITS
     city
    1.72
     City
    1.71
     cities
    1.64
     CITY
    1.60
     Cities
    1.47
    cities
    1.39
    City
    1.39
    city
    1.38
    Cities
    1.37
     getCity
    1.35
    Activations Density 0.047%

    No Known Activations