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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14584
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    Explanations

    references to monetary concepts and transactions

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

    money laundering

    np_acts-logits-general · gemini-2.0-flash

    money laundering

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
     AssemblyTitle
    -0.80
    ViewFeatures
    -0.72
    SourceChecksum
    -0.71
    ServletException
    -0.70
     CreateTagHelper
    -0.70
    ByExample
    -0.68
    ContentAsync
    -0.68
    etzten
    -0.60
    fjspx
    -0.59
    Šaltiniai
    -0.59
    POSITIVE LOGITS
     laundering
    0.85
    bags
    0.65
    MONEY
    0.62
     money
    0.61
    money
    0.58
     spent
    0.57
     MONEY
    0.57
    Money
    0.56
    💴
    0.54
     Money
    0.54
    Activations Density 0.089%

    No Known Activations