© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    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
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8218
    Prev
    Next
    INDEX
    Explanations

    references to the concept of 'dirty' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mxArray
    -0.48
     mandat
    -0.48
     parameter
    -0.45
     tramontina
    -0.44
     achat
    -0.42
     málaga
    -0.42
    thansa
    -0.42
    CardHeader
    -0.41
     Multiplex
    -0.40
    JoinTable
    -0.40
    POSITIVE LOGITS
     dirt
    0.90
     dirty
    0.88
     dir
    0.87
    dirty
    0.83
    Dirty
    0.83
     Dirty
    0.80
    dirt
    0.75
    Dirt
    0.72
     Dirt
    0.71
     DIR
    0.69
    Activations Density 0.249%

    No Known Activations