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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. 1531
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    references to machine learning models and their loading processes

    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
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    Negative Logits
    ########.
    -0.50
    Geplaatst
    -0.47
     administrativos
    -0.43
    extérieur
    -0.43
     sprá
    -0.42
     disposiciones
    -0.41
    Gön
    -0.41
    ConstraintMaker
    -0.41
    ambassade
    -0.40
     administrativo
    -0.39
    POSITIVE LOGITS
     training
    0.85
     neural
    0.75
     Training
    0.73
     TensorFlow
    0.72
     Keras
    0.70
     train
    0.70
     retraining
    0.69
     tensor
    0.68
     Neural
    0.68
    Training
    0.68
    Activations Density 0.977%

    No Known Activations