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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 1679
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    INDEX
    Explanations

    references to weapons, particularly swords and guns

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

    associated with weapons

    np_acts-logits-general · gemini-2.0-flash

    weapons, especially swords

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '{@
    -0.56
    IntoConstraints
    -0.52
    RTSC
    -0.51
    MLLoader
    -0.51
    ंदीखरीदारी
    -0.50
    Искәрмәләр
    -0.50
    fillType
    -0.49
    NameInMap
    -0.49
     Audiodateien
    -0.48
     Exactos
    -0.47
    POSITIVE LOGITS
     weapon
    0.85
    weapon
    0.74
     weapons
    0.74
    Weapon
    0.69
     sword
    0.67
     Weapon
    0.65
     оружие
    0.65
    weapons
    0.64
     guns
    0.62
     swords
    0.60
    Activations Density 0.232%

    No Known Activations