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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 41799
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    Explanations

    negative descriptors and labels associated with people or characters, particularly emphasizing traits perceived as evil or morally reprehensible

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

    villains and bad people

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BibitemShut
    -0.45
    出版年
    -0.45
     fören
    -0.44
    ingeki
    -0.41
    tableFuture
    -0.40
     foolishness
    -0.40
     gebo
    -0.40
     pemasangan
    -0.40
    ErrUnexpectedEOF
    -0.39
    尷
    -0.39
    POSITIVE LOGITS
     evil
    0.50
     wicked
    0.42
     deeds
    0.42
     Verhalten
    0.41
    parseDouble
    0.41
     Evil
    0.40
     behaviour
    0.40
     behavior
    0.39
     villain
    0.39
     Kru
    0.39
    Activations Density 0.051%

    No Known Activations