© 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. 34-GEMMASCOPE-RES-16K
    11. 7034
    Prev
    Next
    INDEX
    Explanations

    references to the Veterans Affairs Administration

    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
    XmlAccessorType
    -0.38
    @[+][
    -0.35
    phosa
    -0.34
    jdt
    -0.34
     informée
    -0.33
     咖
    -0.33
     Roskov
    -0.32
    殴
    -0.32
    clairage
    -0.32
    OGND
    -0.31
    POSITIVE LOGITS
     veterans
    1.65
     Veterans
    1.52
    Veterans
    1.47
     Veteran
    1.47
     veteran
    1.39
     vets
    1.37
    Veteran
    1.35
    veter
    1.32
     VETER
    1.28
     Veter
    1.23
    Activations Density 0.259%

    No Known Activations