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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. 3590
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    Explanations

    references to travel and transportation logistics

    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
    rungsseite
    -0.49
    pecabezas
    -0.49
    Personensuche
    -0.47
     missão
    -0.47
    rrggbb
    -0.46
    ativna
    -0.46
    spesies
    -0.45
    hynch
    -0.44
    ✨:
    -0.43
     homenagem
    -0.43
    POSITIVE LOGITS
     train
    1.61
     bus
    1.40
     trains
    1.34
     Train
    1.31
    train
    1.27
    Train
    1.23
     Trains
    1.22
     TRAIN
    1.13
     buses
    1.13
     railway
    1.12
    Activations Density 0.283%

    No Known Activations