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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7851
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    Explanations

    references to water treatment processes and technologies

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

    Water or sewage treatment processes

    np_acts-logits-general · gemini-2.0-flash

    wastewater treatment systems

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.53
    UrlResolution
    -0.53
    IVEREF
    -0.50
     فريبيس
    -0.49
    SharedDtor
    -0.48
    Parcelize
    -0.48
    BufferException
    -0.46
    riwal
    -0.46
    RectangleBorder
    -0.45
    setupUi
    -0.45
    POSITIVE LOGITS
     ActivatedRoute
    0.38
    jutant
    0.37
    hematical
    0.34
     trattamento
    0.33
    tonsoft
    0.33
    OGND
    0.33
     الرياضيه
    0.32
    }^{-}\
    0.32
     contentType
    0.31
     treatment
    0.30
    Activations Density 0.553%

    No Known Activations