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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8588
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    Explanations

    mentions of priorities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pozdrawiam
    -0.53
     wuß
    -0.52
     Stationery
    -0.45
     stationery
    -0.44
    Atentamente
    -0.44
    Beijo
    -0.43
     lentejuelas
    -0.43
     eenige
    -0.42
    primitives
    -0.42
     Mainland
    -0.42
    POSITIVE LOGITS
     priorities
    0.83
     priority
    0.82
     prioriti
    0.80
    priority
    0.74
     prioritise
    0.73
    Priority
    0.72
     prioritize
    0.69
     Priority
    0.66
     prioritizing
    0.64
     prioritized
    0.63
    Activations Density 0.124%

    No Known Activations