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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8747
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    Explanations

    terms related to efficiency in detection and performance of devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    technical discussions about improving efficiency and performance in various engineering systems.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    technical and scientific content describing complex systems, components, and their performance characteristics.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Geplaatst
    -0.63
    EndContext
    -0.57
     cister
    -0.43
     scri
    -0.40
     bung
    -0.40
    recated
    -0.40
     sclero
    -0.39
     slu
    -0.39
     setStatus
    -0.38
    刑
    -0.38
    POSITIVE LOGITS
     performance
    1.05
    performance
    0.90
     performances
    0.88
     prestazioni
    0.87
    Performance
    0.84
    性能
    0.84
     kinerja
    0.82
     rendimiento
    0.81
     efficiency
    0.81
     PERFORMANCE
    0.79
    Activations Density 1.712%

    No Known Activations