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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10631
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    INDEX
    Explanations

    terms related to immigration law and racial discrimination

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

    preceding nationalities or ethnic groups

    np_acts-logits-general · gemini-2.0-flash

    Chinese people and names

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    AntiForgeryToken
    -0.51
    RTEX
    -0.49
     TRABAJO
    -0.45
     Signalez
    -0.44
    AMIENTO
    -0.43
    uttosto
    -0.43
     sicher
    -0.42
     juridiques
    -0.41
     архивлан
    -0.40
    acquisto
    -0.40
    POSITIVE LOGITS
     chinese
    0.63
     Chinatown
    0.59
     Chinese
    0.57
    Chinese
    0.54
     Asians
    0.53
     Wong
    0.52
     asian
    0.51
     chinois
    0.48
    Wong
    0.47
     Buddhists
    0.47
    Activations Density 0.429%

    No Known Activations