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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. 9980
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    references to automotive technology and performance features

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     चीज़ों
    -0.47
    цездатний
    -0.45
     kaarangay
    -0.45
    tagHelperRunner
    -0.44
     vectorielles
    -0.43
    RUnlock
    -0.42
    enderror
    -0.41
    Cyfarwyddwr
    -0.40
    Datuak
    -0.40
    Diwedd
    -0.40
    POSITIVE LOGITS
     flagship
    0.45
    pidou
    0.45
     series
    0.44
    RectangleBorder
    0.43
     innovate
    0.42
     refresh
    0.41
     refreshed
    0.39
     Series
    0.39
     dira
    0.39
    대
    0.39
    Activations Density 0.409%

    No Known Activations