© 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. 0-GEMMASCOPE-RES-16K
    11. 13481
    Prev
    Next
    INDEX
    Explanations

    references to rail-related concepts and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Füßen
    -0.53
     sentarse
    -0.49
     keseluruhan
    -0.45
     garrafa
    -0.45
     portátil
    -0.44
     métallique
    -0.44
     portátiles
    -0.43
     transferência
    -0.43
     înc
    -0.42
     czerwony
    -0.42
    POSITIVE LOGITS
     rail
    0.68
    mis
    0.66
    rail
    0.64
     railway
    0.63
    Rail
    0.61
     Rail
    0.60
    dep
    0.58
     railroad
    0.57
    parsedMessage
    0.57
     Railway
    0.56
    Activations Density 0.186%

    No Known Activations