© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12223
    Prev
    Next
    INDEX
    Explanations

    expressions of degree related to the word 'quite'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.52
    Билгалдахарш
    -0.50
    Jeografia
    -0.48
     Cardona
    -0.47
    DRS
    -0.46
     verkau
    -0.45
    VYMaps
    -0.45
     atras
    -0.43
    enedor
    -0.43
    PRP
    -0.43
    POSITIVE LOGITS
     quite
    1.61
    Quite
    1.47
     Quite
    1.45
    quite
    1.41
     ganske
    0.86
     bastante
    0.80
     uite
    0.76
     oldukça
    0.74
     assez
    0.73
     cukup
    0.73
    Activations Density 0.071%

    No Known Activations