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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 5195
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    Explanations

    procedures involving washing and rinsing samples with liquids

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    washing and rinsing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    OrNil
    -0.62
    setVerticalGroup
    -0.59
     CreateTagHelper
    -0.58
     defStyleAttr
    -0.57
     мәкал
    -0.54
    AddTagHelper
    -0.53
    rrggbb
    -0.50
    PreferredItem
    -0.50
    IsContent
    -0.49
     StatelessWidget
    -0.49
    POSITIVE LOGITS
     CURIAM
    0.48
     flushing
    0.47
    MessageTagHelper
    0.46
     rinsing
    0.43
     washes
    0.41
     washing
    0.39
    flows
    0.38
    流水
    0.37
     Worker
    0.36
     rins
    0.36
    Activations Density 0.062%

    No Known Activations