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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 985
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    Explanations

    features of cleaning products and their effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     HFILL
    -0.46
    homonymie
    -0.46
     Hauser
    -0.38
    MessageOf
    -0.38
     skjer
    -0.36
    ymmetry
    -0.36
     Infrastruktur
    -0.35
    CreateInfo
    -0.35
     severance
    -0.35
    建设
    -0.35
    POSITIVE LOGITS
     cleaning
    1.19
     Cleaning
    1.02
    Cleaning
    0.99
     cleaners
    0.97
     CLEANING
    0.96
    cleaning
    0.95
     scrubbing
    0.91
     vacuum
    0.88
     cleans
    0.85
     vacu
    0.85
    Activations Density 0.152%

    No Known Activations