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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. 3527
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    phrases related to transportation logistics and options

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.53
     otomatig
    -0.52
     garagem
    -0.51
    pecabezas
    -0.51
    ativna
    -0.50
     itinerario
    -0.48
    hynch
    -0.47
     InputDecoration
    -0.47
     AssemblyTitle
    -0.47
    ✨:
    -0.46
    POSITIVE LOGITS
     train
    1.31
     bus
    1.06
    train
    0.98
     trains
    0.96
     Train
    0.94
     TRAIN
    0.88
    Train
    0.85
     plane
    0.79
     ferry
    0.79
     Amtrak
    0.75
    Activations Density 0.279%

    No Known Activations