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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14479
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    Explanations

    details about people, particularly their ages and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     retired
    -0.81
     retirement
    -0.75
    Retired
    -0.74
     Retired
    -0.74
     retiring
    -0.71
     pension
    -0.70
    retirement
    -0.68
     Retirement
    -0.68
    retired
    -0.68
     pensions
    -0.66
    POSITIVE LOGITS
     young
    0.65
     boyfriend
    0.59
     fiancé
    0.57
     fidanz
    0.54
    青年
    0.54
     girlfriend
    0.54
     fiance
    0.54
     fiancée
    0.54
     millennial
    0.53
     graduate
    0.52
    Activations Density 0.509%

    No Known Activations