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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. 114671
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    Explanations

    references to sports and activities, particularly those involving boards or tricks

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

    snowboard tricks skateboard

    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
    EDEFAULT
    -0.58
     QLabel
    -0.55
     quæ
    -0.52
     difp
    -0.50
    dhi
    -0.46
     perfons
    -0.44
    Personendaten
    -0.44
    ViewFeatures
    -0.43
     invokingState
    -0.43
     giáp
    -0.43
    POSITIVE LOGITS
     skateboard
    1.05
     skateboarding
    0.97
     skate
    0.84
     Skate
    0.81
    Skate
    0.68
    🛹
    0.68
     skaters
    0.61
     skating
    0.56
    skate
    0.56
     skater
    0.53
    Activations Density 0.002%

    No Known Activations