© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4166
    Prev
    Next
    INDEX
    Explanations

    terms related to military and military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ClientSize
    -0.45
     समीक्षाओं
    -0.43
    :✨
    -0.42
     surla
    -0.40
    PYX
    -0.40
    craper
    -0.37
     SwitchCompat
    -0.36
    AttributeSet
    -0.35
    落
    -0.35
    ClientRect
    -0.35
    POSITIVE LOGITS
     military
    1.07
     Military
    1.01
    Military
    0.98
    military
    0.98
     MILITARY
    0.95
     militaire
    0.92
     militar
    0.91
     militares
    0.90
     Barracks
    0.88
     Army
    0.86
    Activations Density 1.531%

    No Known Activations