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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. 2501
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    references to equipment, maintenance, and operational procedures

    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
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    Negative Logits
     cortesía
    -0.41
     happiness
    -0.41
     stationnement
    -0.40
    erase
    -0.40
     promoción
    -0.39
    Erase
    -0.39
     graduación
    -0.39
    Antwort
    -0.39
     popularity
    -0.38
    Życiorys
    -0.37
    POSITIVE LOGITS
     equipment
    0.79
     engineering
    0.75
     engineers
    0.70
     Engineering
    0.69
     Equipment
    0.68
    equipment
    0.68
     installations
    0.68
     machinery
    0.65
     installed
    0.63
     engineer
    0.63
    Activations Density 0.732%

    No Known Activations