© 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. 31-GEMMASCOPE-RES-16K
    11. 15684
    Prev
    Next
    INDEX
    Explanations

    references to different types of smells and odors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    negative or unpleasant odors and smells.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.35
    jangkau
    -0.34
    etCode
    -0.33
    verre
    -0.33
    OrEmpty
    -0.33
    mybatisplus
    -0.32
    Blon
    -0.32
    bedien
    -0.32
     viên
    -0.31
     caret
    -0.31
    POSITIVE LOGITS
     smell
    2.28
     smells
    2.14
     odor
    1.93
     scent
    1.93
     smelling
    1.91
     smelled
    1.91
     Smell
    1.90
    smell
    1.90
     odors
    1.83
     odour
    1.82
    Activations Density 0.155%

    No Known Activations