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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. 8499
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    Explanations

    terms related to offensive and defensive performance in sports

    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
     legal
    -0.38
    getPort
    -0.35
    addCriterion
    -0.33
    bindParam
    -0.33
     Legal
    -0.32
     hotel
    -0.32
     giuri
    -0.32
     WTO
    -0.31
     museum
    -0.31
     Pal
    -0.31
    POSITIVE LOGITS
     Offense
    1.03
     offense
    1.00
     Offensive
    0.95
     offensive
    0.94
     offensively
    0.91
    Offensive
    0.90
    offensive
    0.88
     offence
    0.87
     offensi
    0.85
     offenses
    0.68
    Activations Density 0.194%

    No Known Activations