© 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
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 10943
    Prev
    Next
    INDEX
    Explanations

    terms associated with patient safety and healthcare culture

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

    topics related to healthcare, patient safety, and medical professional practices.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    technical documentation and error handling code, particularly exception handling patterns and error logging statements.

    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
     useAppContext
    -0.57
     nakalista
    -0.49
     Autorizaciones
    -0.49
    ніципалі
    -0.48
    istoitu
    -0.45
    DockStyle
    -0.44
     cuarent
    -0.44
     typelib
    -0.44
    setVerticalGroup
    -0.43
    Geplaatst
    -0.43
    POSITIVE LOGITS
     patient
    0.96
     Patient
    0.90
    Patient
    0.89
    patient
    0.85
     hospital
    0.83
     patients
    0.83
    Patients
    0.82
     Patients
    0.80
    patients
    0.78
     hospitals
    0.77
    Activations Density 0.537%

    No Known Activations