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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10140
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    INDEX
    Explanations

    themes of revenge and retribution

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

    Concepts of revenge or retaliation

    np_acts-logits-general · gemini-2.0-flash

    revenge and retaliation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lenker
    -0.56
    цездатний
    -0.56
    Życiorys
    -0.50
     estekak
    -0.48
     typelib
    -0.44
    Бележки
    -0.41
    存于互联网档案馆
    -0.41
     CanadaChoose
    -0.41
    (!__
    -0.41
    Manbalar
    -0.40
    POSITIVE LOGITS
     revenge
    2.41
     vengeance
    1.98
     Revenge
    1.90
    revenge
    1.90
    Revenge
    1.78
     avenge
    1.74
     venge
    1.67
     venganza
    1.65
     retribution
    1.57
     aven
    1.56
    Activations Density 0.350%

    No Known Activations