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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 5614
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    Explanations

    references to geographic locations or transit-related information

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

    Railway or metro station names

    np_acts-logits-general · gemini-2.0-flash

    railway and metro stations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.64
    脚注の使い方
    -0.57
    határoz
    -0.52
    RegressionTest
    -0.47
     nawr
    -0.46
    tuur
    -0.45
     Lead
    -0.45
     cra
    -0.44
     Prow
    -0.43
     siyang
    -0.43
    POSITIVE LOGITS
     estação
    0.76
     station
    0.76
     stations
    0.76
    WebVitals
    0.70
    Closest
    0.65
     Stations
    0.64
     estación
    0.63
     estaciones
    0.62
    Personendaten
    0.60
     nearest
    0.60
    Activations Density 0.093%

    No Known Activations