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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 10811
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    Explanations

    references to various types of weapons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    preduce
    -0.56
     inflated
    -0.54
     operazioni
    -0.47
    Koala
    -0.46
     barks
    -0.46
    klaim
    -0.46
     للاسماء
    -0.46
    ofag
    -0.45
    linky
    -0.45
     imprese
    -0.45
    POSITIVE LOGITS
     weapons
    2.08
     firearms
    1.86
     Weapons
    1.84
    weapons
    1.76
     guns
    1.72
    Weapons
    1.70
     weapon
    1.55
     firearm
    1.52
     rifle
    1.49
     rifles
    1.48
    Activations Density 0.337%

    No Known Activations