© 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. 23-GEMMASCOPE-RES-16K
    11. 589
    Prev
    Next
    INDEX
    Explanations

    instances of the word "do" and its various forms in order to identify discussions about actions or tasks being performed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     législation
    -0.49
    garek
    -0.49
    Kenneth
    -0.48
     magnétique
    -0.48
     Câmara
    -0.47
     transparencia
    -0.46
     Kurz
    -0.45
     Kenneth
    -0.45
     presidenta
    -0.45
     pauvreté
    -0.44
    POSITIVE LOGITS
     Done
    0.96
     doings
    0.92
     done
    0.91
     DONE
    0.85
    done
    0.84
    Doing
    0.84
     Doing
    0.83
    Done
    0.82
    doing
    0.82
     Do
    0.79
    Activations Density 0.149%

    No Known Activations