© 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. 39-GEMMASCOPE-RES-16K
    11. 3072
    Prev
    Next
    INDEX
    Explanations

    terms related to medical research and treatment efficacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    锈钢
    -0.57
     AssemblyCulture
    -0.54
     transfieras
    -0.53
    ustimmung
    -0.49
    Geplaatst
    -0.49
    жели
    -0.49
    tagHelperRunner
    -0.48
     Numerade
    -0.48
     titolata
    -0.46
    enterOuterAlt
    -0.46
    POSITIVE LOGITS
     efficiently
    1.93
     correctly
    1.84
     properly
    1.75
     adequately
    1.70
     accurately
    1.70
     effectively
    1.63
     successfully
    1.59
     flawlessly
    1.59
     intelligently
    1.59
     nicely
    1.59
    Activations Density 3.971%

    No Known Activations