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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4653
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    Explanations

    references to cities and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fjspx
    -0.59
    VersionUID
    -0.59
    ledem
    -0.53
    WebControls
    -0.52
    AccessFile
    -0.52
    jsxFileName
    -0.51
    Datuak
    -0.51
    ContainerState
    -0.50
    页面存档备份
    -0.49
    pencer
    -0.48
    POSITIVE LOGITS
     city
    3.11
    city
    2.45
     City
    2.31
     CITY
    2.25
    City
    2.22
     cities
    2.19
     ciudad
    2.06
    CITY
    2.03
     città
    2.02
     cidade
    1.91
    Activations Density 0.406%

    No Known Activations