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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. 11433
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    Explanations

    references to cleanliness and maintenance activities

    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
     ivelany
    -0.49
     '\\;'
    -0.48
     NSCoder
    -0.46
     Paglinawan
    -0.45
    ătate
    -0.45
    WaitGroup
    -0.44
    ArgsConstructor
    -0.44
    transQ
    -0.42
    ftagPool
    -0.42
     experien
    -0.41
    POSITIVE LOGITS
     cleanliness
    1.08
     clean
    0.98
     cleaning
    0.84
     tidy
    0.84
    clean
    0.83
     Clean
    0.82
     cleaned
    0.81
     cleaner
    0.81
    Clean
    0.78
     cleanup
    0.77
    Activations Density 0.189%

    No Known Activations