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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 3987
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    Explanations

    references to cities and urban places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FunctionFlags
    -0.43
    福井
    -0.38
     Ră
    -0.37
     Bernhard
    -0.36
    ilera
    -0.35
    restle
    -0.35
    ナップ
    -0.35
     Abra
    -0.35
    jsxFileName
    -0.34
    posables
    -0.34
    POSITIVE LOGITS
     city
    3.88
    city
    3.31
    City
    3.28
     City
    3.20
     CITY
    3.08
    CITY
    2.94
     getCity
    2.53
     ciudad
    2.52
     cities
    2.47
    getCity
    2.42
    Activations Density 0.104%

    No Known Activations