© 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. 23-GEMMASCOPE-RES-16K
    11. 9501
    Prev
    Next
    INDEX
    Explanations

    art-related language focusing on abstract concepts and creative expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Waſſer
    -0.75
     ſeinen
    -0.73
     dieſer
    -0.73
     ſind
    -0.71
     Anſ
    -0.71
     ſei
    -0.71
    addCriterion
    -0.70
     geſch
    -0.69
     müſſen
    -0.69
     purpoſe
    -0.69
    POSITIVE LOGITS
     particularly
    0.61
     vooral
    0.59
    particularly
    0.56
     principalement
    0.56
     especially
    0.54
     principalmente
    0.51
     primarily
    0.51
     surtout
    0.51
     especialmente
    0.51
     soprattutto
    0.50
    Activations Density 0.593%

    No Known Activations