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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 11861
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    INDEX
    Explanations

    references to police activity and law enforcement

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    law enforcement

    np_acts-logits-general · gemini-2.0-flash

    police actions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ChildScrollView
    -0.76
    SourceChecksum
    -0.70
    parsedMessage
    -0.64
     nahilalakip
    -0.63
    tagHelperRunner
    -0.59
     ujednoznacz
    -0.59
     Numerade
    -0.55
     يتيمه
    -0.55
     CreateTagHelper
    -0.54
    Personensuche
    -0.54
    POSITIVE LOGITS
     police
    1.50
    police
    1.31
     Police
    1.22
    Police
    1.16
     POLICE
    1.00
     Polizei
    0.96
     policemen
    0.96
    警察
    0.91
     cops
    0.91
     पुलिस
    0.89
    Activations Density 0.360%

    No Known Activations