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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 9835
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    INDEX
    Explanations

    instructions and processes related to cleaning and maintaining hygiene

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

    washing or rinsing

    np_acts-logits-general · gemini-2.0-flash

    rinsing and washing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    firi
    -0.53
     cimetière
    -0.49
    rakech
    -0.49
    loroethene
    -0.47
    odendron
    -0.47
     getAmount
    -0.47
     cristi
    -0.46
     cristian
    -0.46
    taya
    -0.45
    getOrder
    -0.45
    POSITIVE LOGITS
     rinse
    0.90
     rinsed
    0.83
     Rinse
    0.82
     rinsing
    0.81
     rins
    0.77
     CreateTagHelper
    0.74
     AssemblyTitle
    0.72
    Rinse
    0.72
    WebVitals
    0.68
     SqlCommand
    0.68
    Activations Density 0.212%

    No Known Activations