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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5427
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     semilla
    -0.43
     lágrimas
    -0.42
     polícia
    -0.42
    webElementXpaths
    -0.41
     floresta
    -0.40
     eşofman
    -0.40
     zahrani
    -0.40
     czarne
    -0.39
     macetas
    -0.38
     strijd
    -0.38
    POSITIVE LOGITS
     Python
    1.70
     Java
    1.62
     python
    1.56
     JavaScript
    1.55
     JAVA
    1.45
     Javascript
    1.45
    Python
    1.44
     PHP
    1.44
     javascript
    1.41
     java
    1.36
    Activations Density 1.292%

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