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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. 14536
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    terms related to air quality and emissions

    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
     Paglinawan
    -0.45
     disambiguazione
    -0.44
    /**
    -0.43
     AppCompatTheme
    -0.38
     digitais
    -0.37
    UrlResolution
    -0.37
     scoperto
    -0.36
    impresa
    -0.36
    :✨
    -0.35
    chuhe
    -0.35
    POSITIVE LOGITS
     smog
    0.77
     smoke
    0.73
     PM
    0.72
     particulate
    0.71
     aerosol
    0.70
     air
    0.70
     Smoke
    0.67
     inhal
    0.67
     emissions
    0.66
     dust
    0.66
    Activations Density 0.291%

    No Known Activations