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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9766
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    INDEX
    Explanations

    references to technology and systems in operational contexts

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

    Savings, speed, avoided, leading to efficiency

    np_acts-logits-general · gemini-2.0-flash

    saving or reducing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WindowConstants
    -0.48
    :][
    -0.43
     betweenstory
    -0.42
    ThroughAttribute
    -0.42
    queryInterface
    -0.42
    ).__
    -0.40
    orianCalendar
    -0.38
    ellido
    -0.38
     CreateTagHelper
    -0.37
    richTextPanel
    -0.37
    POSITIVE LOGITS
     ahorrar
    1.41
     saves
    1.41
     rispar
    1.34
     saving
    1.27
    节省
    1.27
     eliminates
    1.26
     reduce
    1.26
     reduces
    1.25
     ahorro
    1.25
     Saves
    1.21
    Activations Density 1.043%

    No Known Activations