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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10433
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    Explanations

    discussions about water-related issues and the context of managing water resources

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    shadowOpacity
    -0.33
     خل
    -0.30
     Wund
    -0.29
     Michael
    -0.28
     lenker
    -0.28
     whip
    -0.28
    ня
    -0.28
    śla
    -0.28
     ma
    -0.27
     لله
    -0.27
    POSITIVE LOGITS
     drinking
    1.35
    drinking
    1.30
     Drinking
    1.28
    Drinking
    1.28
     water
    1.24
     potable
    1.22
     DRINK
    1.13
     groundwater
    1.11
     aquifers
    1.09
     Water
    1.06
    Activations Density 0.239%

    No Known Activations