© 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. 4725
    Prev
    Next
    INDEX
    Explanations

    repetitive uses of the word "that"

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

    "that" followed by a noun

    np_acts-logits-general · gemini-2.0-flash

    that following a noun

    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
     ſind
    -0.82
    GEBURTSDATUM
    -0.76
    parsedMessage
    -0.72
    writeFieldEnd
    -0.68
     iſt
    -0.67
    ésultats
    -0.65
    enterOuterAlt
    -0.64
    iſten
    -0.63
    msgTypes
    -0.62
     myſelf
    -0.61
    POSITIVE LOGITS
     That
    1.03
    That
    1.02
     THAT
    0.97
     that
    0.86
    THAT
    0.83
     those
    0.81
    that
    0.80
    Those
    0.73
     Those
    0.71
     THOSE
    0.69
    Activations Density 0.288%

    No Known Activations