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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5662
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    Explanations

    references to population migration and urbanization trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VersionUID
    -0.52
    __((
    -0.44
    Parcelize
    -0.43
    uyasha
    -0.42
    AccessFile
    -0.42
    󠁬
    -0.39
    ronesia
    -0.39
    stateProvider
    -0.39
    kesmas
    -0.39
     refinance
    -0.39
    POSITIVE LOGITS
     city
    2.78
     urban
    2.25
    city
    2.16
     CITY
    2.00
     City
    1.98
    City
    1.92
     cities
    1.91
     ciudad
    1.86
    CITY
    1.84
     città
    1.81
    Activations Density 0.517%

    No Known Activations