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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9963
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    Explanations

    phrases related to victimization and injustice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.47
     syllabus
    -0.37
     habits
    -0.36
     admission
    -0.36
     lac
    -0.35
     Admission
    -0.35
     cabra
    -0.34
     cuota
    -0.34
     admit
    -0.33
     spre
    -0.33
    POSITIVE LOGITS
     suffered
    0.65
     unfairly
    0.62
     suffering
    0.62
     suffers
    0.60
     unjustly
    0.59
     endured
    0.59
    Välislingid
    0.58
     innocently
    0.58
     sufrir
    0.55
    遭受
    0.55
    Activations Density 0.474%

    No Known Activations