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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2357
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    Explanations

    names of medical institutions and traditional Korean medical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    الحياه
    -0.66
     disambiguazione
    -0.60
    ChildScrollView
    -0.59
     ब्रेकडाउन
    -0.59
     свер
    -0.46
    LookAnd
    -0.43
    iomanip
    -0.42
    ➯
    -0.42
    velocityY
    -0.41
     lenker
    -0.41
    POSITIVE LOGITS
     Korean
    1.48
     Korea
    1.47
     Koreans
    1.30
     Seoul
    1.27
    Korean
    1.20
     korean
    1.20
    Korea
    1.20
     Corée
    1.16
     korea
    1.13
     coreano
    1.10
    Activations Density 0.549%

    No Known Activations