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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9275
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     taught
    -0.40
    ])):
    -0.35
    новништво
    -0.34
    probieren
    -0.34
    folgung
    -0.32
     Anfänger
    -0.32
     متعلقه
    -0.31
     Specimens
    -0.31
     erfahren
    -0.30
    tickets
    -0.30
    POSITIVE LOGITS
     report
    1.57
     Report
    1.38
    Report
    1.23
    report
    1.23
     findings
    1.14
     conclusions
    1.13
    报告
    1.11
     REPORT
    1.09
     recommendations
    1.09
     relatório
    1.05
    Activations Density 0.584%

    No Known Activations