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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. 103716
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    INDEX
    Explanations

    references to items and conditions related to moisture or wetness

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

    wet and subsequent descriptive words

    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
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCompany
    -0.76
     moeite
    -0.69
    richTextPanel
    -0.64
    iſche
    -0.63
    carpa
    -0.63
    ſehen
    -0.62
    iſchen
    -0.61
    mbgg
    -0.61
     ſelbſt
    -0.61
    pollo
    -0.61
    POSITIVE LOGITS
    Wet
    1.10
     Wet
    1.07
     wet
    1.03
    wet
    0.98
    WET
    0.92
     WET
    0.91
     wetter
    0.76
     wetting
    0.67
     Wetlands
    0.62
     Wetter
    0.60
    Activations Density 0.007%

    No Known Activations