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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2227
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    Explanations

    terms related to energy efficiency and fuel consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gesichts
    -0.40
     Mühl
    -0.39
     localización
    -0.37
     Byr
    -0.35
     Silverman
    -0.35
     Rohr
    -0.35
     forcefully
    -0.34
     chanted
    -0.34
     Flach
    -0.33
     swiftly
    -0.33
    POSITIVE LOGITS
     consumption
    0.85
     consumes
    0.80
     consume
    0.77
     consumi
    0.77
     Consumption
    0.76
     consumo
    0.75
    Consumption
    0.74
     gasto
    0.69
     Consume
    0.67
     fuel
    0.67
    Activations Density 0.333%

    No Known Activations