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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 3116
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    Explanations

    references to cities and their governmental aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     themſelves
    -1.04
     myſelf
    -0.89
     Huguen
    -0.83
    UrlResolution
    -0.80
     Infin
    -0.80
     Suprema
    -0.77
     ſeveral
    -0.75
     Parigi
    -0.74
     Rumania
    -0.74
     Efq
    -0.73
    POSITIVE LOGITS
     city
    1.77
     City
    1.77
     cities
    1.68
     CITY
    1.65
     Cities
    1.49
    cities
    1.45
    city
    1.44
    City
    1.44
     getCity
    1.40
    Cities
    1.39
    Activations Density 0.033%

    No Known Activations