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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 13601
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    Explanations

    references to water quality and potential contamination issues related to drinking water

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

    Drinking water sources

    np_acts-logits-general · gemini-2.0-flash

    drinking water quality

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ligiloj
    -0.61
    SharedDtor
    -0.60
     defaultstate
    -0.59
    ggiamento
    -0.59
     pancreatitis
    -0.59
     recensement
    -0.58
     MainAxisSize
    -0.58
    writeField
    -0.58
     ویکی‌پدیا
    -0.57
    SharedCtor
    -0.56
    POSITIVE LOGITS
     quality
    0.88
     water
    0.83
     polluted
    0.81
     drinking
    0.80
    quality
    0.79
     purest
    0.78
     cleanest
    0.74
     potable
    0.74
     purity
    0.73
     contaminated
    0.72
    Activations Density 0.221%

    No Known Activations