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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. 30099
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    INDEX
    Explanations

    references to offensive performance or aspects related to offense in sports contexts

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

    offense level and instructions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    AlterField
    -0.51
     Pin
    -0.48
     Hama
    -0.44
    <[
    -0.43
     teddy
    -0.42
    %[
    -0.42
     Bad
    -0.41
    LikeLike
    -0.40
     Blind
    -0.40
     Baden
    -0.40
    POSITIVE LOGITS
     offense
    1.77
     Offense
    1.49
     offence
    1.37
     offenses
    1.23
     offensively
    1.02
     offensi
    0.95
     offensive
    0.92
     offences
    0.88
    Offensive
    0.86
     Offensive
    0.82
    Activations Density 0.005%

    No Known Activations