© 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. 14-GEMMASCOPE-RES-16K
    11. 6103
    Prev
    Next
    INDEX
    Explanations

    terms related to annoyance and frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mitään
    -0.40
     aldri
    -0.39
     kyse
    -0.36
     paard
    -0.36
     mümkün
    -0.35
     nadzieję
    -0.35
     täv
    -0.35
     yoksa
    -0.35
     näytte
    -0.34
     caballos
    -0.34
    POSITIVE LOGITS
     annoying
    1.18
     irritating
    1.07
     troublesome
    1.03
     annoy
    1.02
     bothers
    1.01
     irrit
    0.99
     irritate
    0.99
     nuisance
    0.97
     annoys
    0.96
     irritant
    0.96
    Activations Density 0.188%

    No Known Activations