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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55215
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    INDEX
    Explanations

    concepts related to revenge and vengeance

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

    revenge, vengeance, vendetta

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Personendaten
    -0.69
    Erstellt
    -0.65
    Rohy
    -0.63
     propOrder
    -0.59
     >=",
    -0.59
    EDEFAULT
    -0.58
    MergeFrom
    -0.58
    delwed
    -0.56
     <>",
    -0.54
    RotationOrder
    -0.54
    POSITIVE LOGITS
     revenge
    0.79
     venganza
    0.71
     avenge
    0.67
     vengeance
    0.66
    Revenge
    0.63
     Revenge
    0.58
    revenge
    0.57
     venge
    0.50
     retribution
    0.49
    讐
    0.48
    Activations Density 0.095%

    No Known Activations