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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. 10349
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    Explanations

    references to academic education and qualifications

    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
    Negative Logits
     defaultstate
    -0.39
    atschappij
    -0.36
    badlogic
    -0.36
     yyq
    -0.35
     unknownFields
    -0.34
     تضيفلها
    -0.34
    mení
    -0.33
    InjectAttribute
    -0.33
    MigrationBuilder
    -0.32
    APORE
    -0.31
    POSITIVE LOGITS
     doctoral
    1.27
     masters
    1.27
     Master
    1.27
     Masters
    1.26
     master
    1.25
     graduate
    1.23
     Doctoral
    1.18
     PhD
    1.16
    Masters
    1.16
     Graduate
    1.15
    Activations Density 0.221%

    No Known Activations