© 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. 1-GEMMASCOPE-RES-16K
    11. 4347
    Prev
    Next
    INDEX
    Explanations

    the repeated use of the word "got" in varying contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Buddhism
    -0.47
    tissage
    -0.47
    qvarna
    -0.46
     IBOutlet
    -0.46
    Commerce
    -0.45
     Gown
    -0.44
    Menge
    -0.43
    veratrol
    -0.43
     Stream
    -0.43
    CardBody
    -0.43
    POSITIVE LOGITS
    Got
    0.96
    got
    0.91
     Got
    0.88
     got
    0.84
    GOT
    0.64
     GOT
    0.62
     lost
    0.57
    lost
    0.56
     verloren
    0.54
     opérateur
    0.50
    Activations Density 0.136%

    No Known Activations