© 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 EvalsExportsinterp-engineNEWAPI 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. 11225
    Prev
    Next
    INDEX
    Explanations

    nutritional content and composition of food items

    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
    utives
    -0.57
     defaultstate
    -0.55
     Fontaine
    -0.51
    
    -0.50
    ôtel
    -0.50
     betweenstory
    -0.49
    bootstrapcdn
    -0.49
     popsic
    -0.48
    mbH
    -0.48
    enumii
    -0.48
    POSITIVE LOGITS
     obsah
    0.54
     contains
    0.51
     teneur
    0.51
     kandungan
    0.48
    contains
    0.46
     contiennent
    0.45
     obsahuje
    0.44
     nutrisi
    0.43
     contain
    0.43
     enthalten
    0.43
    Activations Density 0.478%

    No Known Activations