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

    Neuronpedia

    Natural Language
    Autoencoders
    NEW
    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 4787
    Prev
    Next
    INDEX
    Explanations

    specific dates and events related to historical contexts

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

    descriptions of violent conflict, combat operations, and casualties in military or conflict situations.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rüstung
    -0.46
    XmlRootElement
    -0.42
     générations
    -0.41
    Jereo
    -0.41
     auriculares
    -0.40
     nación
    -0.40
    ordning
    -0.40
     belangrij
    -0.39
     vectorielles
    -0.39
     Siglo
    -0.38
    POSITIVE LOGITS
     shelling
    0.68
     civilians
    0.66
     artillery
    0.65
     evacuate
    0.64
     ceasefire
    0.62
     snipers
    0.62
     mortar
    0.61
     wounded
    0.61
     shelled
    0.60
     bombed
    0.60
    Activations Density 0.313%

    No Known Activations