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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7345
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    phrases related to mechanical processes and their efficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    RetentionPolicy
    -0.69
     bluff
    -0.59
     babys
    -0.57
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     bang
    -0.54
    XtraReports
    -0.54
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    -0.52
     plug
    -0.52
     buff
    -0.52
    POSITIVE LOGITS
     pungkas
    0.53
     pungkasnya
    0.52
     אשר
    0.50
    SourceChecksum
    0.49
     únicamente
    0.49
    最为
    0.49
     juntamente
    0.49
     äußerst
    0.48
    十分的
    0.47
    TestingModule
    0.47
    Activations Density 4.208%

    No Known Activations