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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. 74298
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    Explanations

    references to cardboard and its associated qualities

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

    cardboard, Bam, Tivoli Gardens

    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
    if
    -0.39
    result
    -0.36
    results
    -0.35
     result
    -0.35
     title
    -0.35
     résultats
    -0.35
     results
    -0.35
    msford
    -0.35
     gevolg
    -0.35
     location
    -0.34
    POSITIVE LOGITS
     Bamboo
    1.54
    Bamboo
    1.50
     bamboo
    1.49
    bamboo
    1.34
     bambú
    1.05
     bambu
    0.94
     bambou
    0.93
     竹
    0.90
    竹
    0.88
     Bamb
    0.82
    Activations Density 0.016%

    No Known Activations