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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 13295
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    Explanations

    details related to public transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to public transportation systems and infrastructure (metro stations, railway lines, bus routes, and transit networks).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.69
    SharedDtor
    -0.59
    
    -0.50
    RegressionTest
    -0.48
    WebElementEntity
    -0.47
    fitrión
    -0.45
    windowFixed
    -0.44
    FunctionFlags
    -0.44
     Meksiku
    -0.43
    Földrajzportál
    -0.41
    POSITIVE LOGITS
     subway
    1.34
     metro
    1.19
     Metro
    1.16
     train
    1.05
    Metro
    1.02
    地铁
    1.02
     trains
    1.02
     метро
    1.00
     Subway
    0.99
    Subway
    0.98
    Activations Density 0.211%

    No Known Activations