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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 10179
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    Explanations

    themes of revenge and vengeance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bootstrapcdn
    -0.58
    Datuak
    -0.52
    MessageOf
    -0.47
    awtextra
    -0.47
    lotl
    -0.46
    WriteLiteral
    -0.46
     propOrder
    -0.46
    ValueStyle
    -0.46
    serif
    -0.46
     $_"
    -0.46
    POSITIVE LOGITS
     revenge
    0.98
     venganza
    0.91
    revenge
    0.85
     Revenge
    0.81
    Revenge
    0.80
     vengeance
    0.77
     grudge
    0.74
     venge
    0.68
     Vengeance
    0.65
     forgiveness
    0.63
    Activations Density 0.525%

    No Known Activations