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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5951
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    Explanations

    references to railway systems and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    carriage
    -0.52
     Carriage
    -0.51
     carriages
    -0.47
     carriage
    -0.47
     kasarigan
    -0.47
     pouvoit
    -0.45
     AssemblyTitle
    -0.44
    enderror
    -0.43
     veicolo
    -0.43
     Wagon
    -0.42
    POSITIVE LOGITS
     switching
    0.61
     Norfolk
    0.54
     swit
    0.53
     Switching
    0.52
     yard
    0.48
     cabo
    0.48
     switch
    0.48
    Norfolk
    0.47
     UP
    0.47
    switching
    0.47
    Activations Density 0.565%

    No Known Activations