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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2063
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    references to training and educational development, particularly in military or professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.40
    tvguidetime
    -0.39
    #
    -0.33
     EconPapers
    -0.33
    rungsseite
    -0.33
     Feinde
    -0.31
    Referencoj
    -0.31
     Numerade
    -0.31
     oorlog
    -0.31
    뀜
    -0.30
    POSITIVE LOGITS
     training
    3.39
     Training
    2.84
    training
    2.80
    Training
    2.78
     TRAINING
    2.73
     trainings
    2.50
    TRAINING
    2.45
     trained
    2.31
     train
    2.31
     Trainings
    2.25
    Activations Density 0.419%

    No Known Activations