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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7681
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    Explanations

    technical language related to energy consumption and efficiency in processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lack
    -0.34
     un
    -0.27
     bang
    -0.27
    ki
    -0.26
    Lack
    -0.26
     there
    -0.25
    рга
    -0.25
     melu
    -0.25
    交
    -0.25
     tł
    -0.25
    POSITIVE LOGITS
     consumes
    0.91
     consumption
    0.89
     consumo
    0.82
     Consumption
    0.82
     consommation
    0.80
    consumption
    0.80
     consume
    0.80
    Consumption
    0.80
     consumed
    0.75
     consumi
    0.74
    Activations Density 0.577%

    No Known Activations