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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. 6945
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    language related to mistakes and personal accountability

    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
    хьтан
    -0.65
     defaultstate
    -0.62
     للمعارف
    -0.61
    UrlResolution
    -0.58
    Географиясе
    -0.56
    RegistryLite
    -0.55
    /*
    -0.54
     AssemblyTitle
    -0.54
     Meksiku
    -0.53
     getContent
    -0.52
    POSITIVE LOGITS
     mistakes
    0.89
     Mistakes
    0.80
     imperfection
    0.73
     imperfections
    0.72
     Fehler
    0.71
     mistake
    0.68
     errors
    0.67
     Errors
    0.65
     Mistake
    0.60
     flaws
    0.58
    Activations Density 0.417%

    No Known Activations