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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3271
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    Explanations

    references to financial crimes and legal proceedings involving money laundering and false reporting

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     jsPsych
    -0.38
    Vac
    -0.35
    createCanvas
    -0.35
    spě
    -0.35
    vac
    -0.34
    hydrop
    -0.33
    BUFF
    -0.33
    काल
    -0.33
     gratuite
    -0.33
    Row
    -0.33
    POSITIVE LOGITS
     launder
    0.82
     laundering
    0.80
     sanctions
    0.69
     Money
    0.65
     money
    0.63
     MONEY
    0.63
     Sanctions
    0.63
    Money
    0.62
     AML
    0.62
    MONEY
    0.62
    Activations Density 0.263%

    No Known Activations