© 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-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 8336
    Prev
    Next
    INDEX
    Explanations

    concepts related to loss or losing in various contexts

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

    Forms of the word "lose" or "loss"

    np_acts-logits-general · gemini-2.0-flash

    loss or losing something

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.73
     extérieures
    -0.68
     referenties
    -0.68
    OGND
    -0.67
     recomendo
    -0.64
    styleType
    -0.62
     Hemis
    -0.62
    tanleria
    -0.61
    脚注の使い方
    -0.61
    você
    -0.61
    POSITIVE LOGITS
    Lose
    1.25
     Lose
    1.23
     Lost
    1.17
     LOST
    1.16
    Lost
    1.14
     lost
    1.14
     loss
    1.09
     Loss
    1.09
     lose
    1.07
    LOST
    1.04
    Activations Density 0.103%

    No Known Activations