© 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. 10-GEMMASCOPE-RES-16K
    11. 4743
    Prev
    Next
    INDEX
    Explanations

    words and phrases related to the consumption and preparation of tea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.47
    IBarButtonItem
    -0.46
    tagHelperRunner
    -0.42
     beſ
    -0.41
     שוליים
    -0.41
    adaptiveStyles
    -0.39
     tron
    -0.38
    __":
    -0.38
    utives
    -0.38
    หน้าน
    -0.38
    POSITIVE LOGITS
     tea
    1.55
     Tea
    1.41
    Tea
    1.34
     TEA
    1.16
    tea
    1.05
     Teas
    1.02
     teas
    1.00
    TEA
    0.99
     чай
    0.98
    茶
    0.95
    Activations Density 0.219%

    No Known Activations