© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2356
    Prev
    Next
    INDEX
    Explanations

    mentions of trains and related transportation modes

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

    the word "train"

    np_acts-logits-general · gemini-2.0-flash

    trains and rail wrecks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ToBounds
    -0.42
     Hauts
    -0.39
    innerHTML
    -0.38
     matter
    -0.35
     خاطر
    -0.34
     asuntos
    -0.34
     matters
    -0.34
     Nicky
    -0.33
     Matt
    -0.32
    matter
    -0.32
    POSITIVE LOGITS
     train
    1.80
     Train
    1.79
    Rail
    1.58
    Train
    1.56
     Trains
    1.55
     trains
    1.53
     rail
    1.53
     Rail
    1.48
     TRAIN
    1.46
    train
    1.41
    Activations Density 0.152%

    No Known Activations