© 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. 16-GEMMASCOPE-RES-16K
    11. 10273
    Prev
    Next
    INDEX
    Explanations

    specific types of food ingredients and their preparation methods, as well as related culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.87
    脚注の使い方
    -0.72
    Hentet
    -0.66
     समीक्षक
    -0.63
    StoryboardSegue
    -0.62
    SourceChecksum
    -0.60
    MLLoader
    -0.59
    angliski
    -0.58
     invokingState
    -0.58
    rawDesc
    -0.57
    POSITIVE LOGITS
    ConstraintMaker
    0.43
    ysł
    0.38
    explique
    0.35
    âme
    0.30
    expliquer
    0.29
    guisement
    0.29
    ffilm
    0.29
     Portugu
    0.29
     métal
    0.29
     Informations
    0.27
    Activations Density 0.827%

    No Known Activations