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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11703
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    INDEX
    Explanations

    references to laundry-related terminology and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    laundry or chemical compounds

    np_acts-logits-general · gemini-2.0-flash

    laundry and clothes care

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModelMap
    -0.42
    FromNib
    -0.42
    cillor
    -0.41
    tabler
    -0.41
    basicConfig
    -0.40
    BarButtonItem
    -0.39
    viol
    -0.39
     Beur
    -0.38
    haviors
    -0.38
    clock
    -0.38
    POSITIVE LOGITS
     laundry
    1.27
     Laundry
    1.24
    Laundry
    1.15
    laundry
    1.03
     Washer
    0.88
     laund
    0.86
     washer
    0.81
     Clothes
    0.70
    洗濯
    0.70
    洗衣
    0.68
    Activations Density 0.168%

    No Known Activations