© 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. 7757
    Prev
    Next
    INDEX
    Explanations

    entities and specific details related to naval vessels and military history

    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
     littéraire
    -0.49
     Paglinawan
    -0.47
    <bos>
    -0.45
    RegressionTest
    -0.45
    Lumi
    -0.43
     lettres
    -0.42
     Lumi
    -0.41
    setVerticalGroup
    -0.41
     Hearth
    -0.40
    webElementXpaths
    -0.39
    POSITIVE LOGITS
     armament
    0.59
     weaponry
    0.54
    脚注の使い方
    0.51
     modernization
    0.49
     procurement
    0.47
     modernize
    0.47
     equipping
    0.47
     potent
    0.46
     militari
    0.46
     equipments
    0.46
    Activations Density 0.207%

    No Known Activations