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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15853
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    Explanations

    references to sewage treatment and environmental management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.54
    AnchorTagHelper
    -0.50
    complexType
    -0.50
    WriteTagHelper
    -0.49
    Chham
    -0.49
    Derbyniad
    -0.47
    Източници
    -0.47
     KEL
    -0.47
    ModelForm
    -0.43
     QtWidgets
    -0.43
    POSITIVE LOGITS
     sewage
    1.25
     wastewater
    1.23
     Wastewater
    1.09
     sewer
    1.09
     Sewage
    1.07
     sewerage
    1.02
     effluent
    0.98
     sewers
    0.96
     Sewer
    0.94
     treatment
    0.91
    Activations Density 0.155%

    No Known Activations