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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 398
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    specific references to educational background and professional accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accès
    -0.38
    tanleria
    -0.35
     yolk
    -0.34
     Access
    -0.33
    sizeCache
    -0.33
     入口
    -0.31
     ſur
    -0.30
    ByDefault
    -0.30
     eingeb
    -0.29
     spoiled
    -0.29
    POSITIVE LOGITS
     accomplishments
    1.19
     achievements
    1.08
     resume
    1.05
     Achievements
    1.02
     Resume
    0.98
     qualifications
    0.96
    Achievements
    0.94
     résumé
    0.93
     awards
    0.93
     hobbies
    0.92
    Activations Density 0.438%

    No Known Activations