© 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-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 84747
    Prev
    Next
    INDEX
    Explanations

    instances of the word "Having" or its variations at the beginning of sentences or phrases

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

    Having followed by a past participle

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    تقاوى
    -0.68
     يتيمه
    -0.68
     poffible
    -0.60
    URLException
    -0.57
    bootstrapcdn
    -0.57
     estekak
    -0.55
     fevere
    -0.55
     houſe
    -0.54
     fubject
    -0.52
     betweenstory
    -0.52
    POSITIVE LOGITS
    Having
    1.38
     Having
    1.32
     having
    1.03
    having
    1.02
     HAVING
    1.00
     habiendo
    0.75
    Being
    0.66
     Being
    0.63
     tendo
    0.61
     teniendo
    0.60
    Activations Density 0.011%

    No Known Activations