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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8568
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    Explanations

    references to protective gear and armor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ">//
    -0.35
     ModelExpression
    -0.31
    ConstraintMaker
    -0.30
    Espèce
    -0.28
     каранда
    -0.28
     thread
    -0.27
    bentar
    -0.27
    mainAxisSize
    -0.27
     chopsticks
    -0.27
     trattano
    -0.27
    POSITIVE LOGITS
     armor
    1.38
     helmet
    1.29
     armour
    1.23
     helmets
    1.19
     Armor
    1.13
    armor
    1.10
     armadura
    1.05
     armored
    1.03
     Armour
    1.03
    Armor
    1.03
    Activations Density 0.316%

    No Known Activations