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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8101
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    terms related to environmental pollution and emissions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Билгалдахарш
    -0.51
    /**
    -0.47
     disambiguazione
    -0.41
     Paglinawan
    -0.38
     AppCompatTheme
    -0.36
     menggel
    -0.36
     toallas
    -0.35
     cáp
    -0.35
     digitais
    -0.35
    venia
    -0.35
    POSITIVE LOGITS
     smog
    1.00
     pollution
    1.00
     Pollution
    0.85
    pollution
    0.85
     polluted
    0.84
     air
    0.84
     particulate
    0.83
     pollutant
    0.81
     dust
    0.81
    Pollution
    0.80
    Activations Density 0.246%

    No Known Activations