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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. 2526
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    Explanations

    references to crimes and legal violations, particularly those involving moral turpitude and injustices against victims

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

    criminal offenses

    np_acts-logits-general · gemini-2.0-flash

    criminal acts and offences

    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
    Not in Any Lists

    No Comments

    Negative Logits
     delantera
    -0.51
    bootstrapcdn
    -0.47
     juges
    -0.43
     dianteira
    -0.41
     réaliste
    -0.37
     nahilalakip
    -0.36
     Penga
    -0.36
    RotationOrder
    -0.36
     Stimme
    -0.35
     ARR
    -0.35
    POSITIVE LOGITS
     crimes
    0.77
     acts
    0.75
     committed
    0.75
     perpetrated
    0.73
     crime
    0.71
     Crimes
    0.68
    occur
    0.67
    crimes
    0.66
     offences
    0.65
     occurring
    0.64
    Activations Density 0.454%

    No Known Activations