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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 102169
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    Explanations

    terms related to cars and motorsports, especially in the context of racing classifications and vehicle specifications

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

    stock car production

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
     kaarangay
    -0.84
     Roskov
    -0.77
     utafitiHapana
    -0.64
    Personendaten
    -0.60
     autorytatywna
    -0.60
    GraphicsUnit
    -0.59
    ंदीखरीदारी
    -0.58
    Vidite
    -0.56
    exitRule
    -0.56
    principalTable
    -0.53
    POSITIVE LOGITS
    DoubleQuotes
    0.33
    
    0.30
     consum
    0.30
    xaml
    0.30
    Pubs
    0.28
    postmedia
    0.27
    ukone
    0.27
    исп
    0.27
     tom
    0.26
     MessageBox
    0.26
    Activations Density 0.104%

    No Known Activations