© 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. 33-GEMMASCOPE-RES-16K
    11. 12730
    Prev
    Next
    INDEX
    Explanations

    elements related to ease of use and accessibility in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.77
     disambiguazione
    -0.72
    SourceChecksum
    -0.56
    rungsseite
    -0.55
    ValueStyle
    -0.54
     AssemblyCulture
    -0.54
    bootstrapcdn
    -0.52
     surla
    -0.52
     betweenstory
    -0.51
    nezeu
    -0.48
    POSITIVE LOGITS
     easy
    3.47
     easily
    3.14
    easy
    3.08
    Easy
    2.94
     Easy
    2.86
    easily
    2.75
     EASY
    2.67
     fácil
    2.66
     easier
    2.58
     Easily
    2.58
    Activations Density 1.387%

    No Known Activations