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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. 12215
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    references to energy efficiency and environmental impact in technology

    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
     adult
    -0.38
    зраст
    -0.35
     women
    -0.34
    ()}}
    -0.33
     lesz
    -0.33
     adults
    -0.33
     {}),
    -0.32
     Chan
    -0.32
     bedrag
    -0.32
    extAlignment
    -0.31
    POSITIVE LOGITS
     OEM
    1.02
     customer
    0.93
     engineers
    0.92
     customers
    0.91
    Customers
    0.89
     installers
    0.87
    customers
    0.87
     Customers
    0.85
     manufacturers
    0.84
    customer
    0.84
    Activations Density 0.606%

    No Known Activations