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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5151
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    Explanations

    references to cities and urban areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abinieri
    -0.45
    ilera
    -0.43
    restle
    -0.43
    sätzlich
    -0.41
     Liechtenstein
    -0.40
    ragon
    -0.39
    hooks
    -0.38
    enerbah
    -0.37
    ConstraintLayout
    -0.37
     Bernhard
    -0.37
    POSITIVE LOGITS
     city
    4.31
    city
    3.69
    City
    3.48
     City
    3.45
     CITY
    3.39
    CITY
    3.23
     ciudad
    2.86
     cities
    2.64
     città
    2.63
     getCity
    2.63
    Activations Density 0.095%

    No Known Activations