© 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. 31-GEMMASCOPE-RES-16K
    11. 5805
    Prev
    Next
    INDEX
    Explanations

    themes related to the battle between good and evil

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

    phrases contrasting or opposing good and evil.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disappoint
    -0.39
    asants
    -0.35
     humiliating
    -0.35
     bankrupt
    -0.35
     Collegiate
    -0.34
     disappointed
    -0.34
     bankruptcy
    -0.34
     forfe
    -0.34
    inkov
    -0.34
    brü
    -0.33
    POSITIVE LOGITS
     evil
    1.63
    evil
    1.41
     Evil
    1.38
    Evil
    1.35
     harm
    1.26
     good
    1.06
    good
    1.05
     kebaikan
    1.04
     evils
    1.02
    harm
    1.01
    Activations Density 0.312%

    No Known Activations