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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 7961
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    Explanations

    references to various materials used in engineering and construction

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ArgumentParser
    -0.52
    MessageOf
    -0.45
     MainAxisSize
    -0.44
    reportWebVitals
    -0.40
    зонта
    -0.40
    WaitGroup
    -0.39
    UnusedPrivate
    -0.39
     }{@
    -0.39
    esterday
    -0.38
     jep
    -0.38
    POSITIVE LOGITS
     materials
    0.71
    materials
    0.69
     materialen
    0.67
     material
    0.65
     materiaal
    0.63
     materiali
    0.60
     matériaux
    0.59
    材料
    0.59
     anyag
    0.58
     matériau
    0.58
    Activations Density 0.592%

    No Known Activations