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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11007
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    German language or text

    np_acts-logits-general · gemini-2.0-flash

    modal verbs and verb sequences

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.86
     Infór
    -0.83
     rodillas
    -0.68
     Kelurahan
    -0.66
     Nieren
    -0.62
     Inscrivez
    -0.62
     Geiſt
    -0.61
     Umum
    -0.61
    InjectAttribute
    -0.60
     CreateTagHelper
    -0.60
    POSITIVE LOGITS
    -------------</
    0.48
     LTS
    0.42
     TÜ
    0.41
     GTS
    0.41
     NIV
    0.41
     ECT
    0.41
    Недостатки
    0.38
    Abc
    0.38
     AFS
    0.38
     AAS
    0.38
    Activations Density 0.135%

    No Known Activations