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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. 12247
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    Explanations

    negative trends or declines in performance

    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
     pinulongan
    -0.84
    oredCriteria
    -0.79
     يتيمه
    -0.74
     صوتيه
    -0.73
    majánló
    -0.73
    点此举报
    -0.71
    
    -0.70
    Хьажоргаш
    -0.69
     queſta
    -0.69
     disambiguazione
    -0.68
    POSITIVE LOGITS
     or
    0.37
     
    0.35
     non
    0.31
    rektur
    0.31
     versus
    0.30
     und
    0.30
     tight
    0.29
    ms
    0.29
     переза
    0.27
     ту
    0.27
    Activations Density 0.268%

    No Known Activations