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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5500
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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 @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     semilla
    -0.42
     varones
    -0.40
     lágrimas
    -0.40
     botella
    -0.39
     czarne
    -0.39
     botellas
    -0.39
     polícia
    -0.38
    berdayakan
    -0.38
     llorar
    -0.38
     betweenstory
    -0.38
    POSITIVE LOGITS
     Python
    1.84
     Java
    1.70
     python
    1.67
    Python
    1.58
     JavaScript
    1.53
     JAVA
    1.49
     PHP
    1.49
     Javascript
    1.43
    Java
    1.43
    python
    1.43
    Activations Density 1.450%

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