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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14070
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    Explanations

    specific terms related to lubrication and grease formulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    譲
    -0.32
    麹
    -0.29
     GRANT
    -0.28
     zoll
    -0.27
    OptionsMenu
    -0.27
    Grant
    -0.27
     grant
    -0.26
     jong
    -0.26
     hin
    -0.26
    ต้น
    -0.26
    POSITIVE LOGITS
     lubricant
    1.07
     lubricants
    1.04
     lubrication
    1.02
     lubricating
    0.97
     Lubric
    0.94
     viscosity
    0.92
     lubric
    0.91
     oil
    0.90
     Viscosity
    0.83
    Lub
    0.82
    Activations Density 0.433%

    No Known Activations