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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10338
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    proper nouns, particularly names and references related to individuals or research within a scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     econô
    -0.42
     financières
    -0.39
     pylori
    -0.38
     sauvages
    -0.35
     nisso
    -0.34
     χρή
    -0.34
    CharStream
    -0.34
    siapkan
    -0.34
     burbujas
    -0.34
     fédé
    -0.33
    POSITIVE LOGITS
     Tan
    0.98
    Tan
    0.96
     tan
    0.94
     TAN
    0.89
     tam
    0.86
    TAN
    0.82
     Tam
    0.78
    tan
    0.75
    Tam
    0.72
     Tanner
    0.69
    Activations Density 1.490%

    No Known Activations