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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8390
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    discussions about resource limitations and performance in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    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
    -0.42
    GIVEREF
    -0.35
    abestanden
    -0.28
     desar
    -0.27
    pos
    -0.27
    ****/
    -0.26
    stellungs
    -0.25
     pos
    -0.24
    ĝis
    -0.24
    žní
    -0.24
    POSITIVE LOGITS
     CPU
    1.21
     performance
    1.15
     latency
    1.10
     throughput
    1.08
    CPU
    1.03
     cpu
    1.02
     Performance
    1.00
     bottleneck
    0.99
    performance
    0.99
     bottlenecks
    0.98
    Activations Density 1.224%

    No Known Activations