© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 16124
    Prev
    Next
    INDEX
    Explanations

    phrases that emphasize the word "that" 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 @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FOO
    -0.52
    LookAnd
    -0.51
     Elise
    -0.45
    în
    -0.44
    FO
    -0.44
    voirs
    -0.44
     Wallis
    -0.43
    liu
    -0.43
    SCS
    -0.43
    suz
    -0.42
    POSITIVE LOGITS
    THAT
    0.91
     That
    0.90
    That
    0.89
     THAT
    0.88
    that
    0.87
     that
    0.76
     bahawa
    0.71
     Thatcher
    0.71
    assertThat
    0.68
     Infórmanos
    0.65
    Activations Density 0.612%

    No Known Activations