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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14217
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    references to training and education processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EDEFAULT
    -0.58
    RRect
    -0.54
     Wier
    -0.51
     vicenda
    -0.48
    tinyos
    -0.48
     zelve
    -0.47
     bezoekers
    -0.47
     Belanda
    -0.46
     SafeMath
    -0.46
     heapq
    -0.45
    POSITIVE LOGITS
     training
    0.97
     Training
    0.91
    Training
    0.89
     TRAINING
    0.84
    TRAINING
    0.81
    training
    0.80
     trainings
    0.79
     retraining
    0.71
     train
    0.69
     trains
    0.67
    Activations Density 0.324%

    No Known Activations