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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9412
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    terms related to computing resources and their management, particularly focusing on memory and bandwidth considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vertre
    -0.35
    GIVEREF
    -0.34
     nahilalakip
    -0.33
     opérés
    -0.30
    baiki
    -0.27
    ĝis
    -0.27
     đạo
    -0.26
    Validity
    -0.25
     Fish
    -0.25
    iprot
    -0.25
    POSITIVE LOGITS
     CPU
    1.14
     performance
    0.97
     cpu
    0.96
     latency
    0.96
     throughput
    0.95
    CPU
    0.94
     bottleneck
    0.93
     bottlenecks
    0.93
     computationally
    0.92
     slowdown
    0.90
    Activations Density 1.208%

    No Known Activations