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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 913
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    aspects related to service quality and customer experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.34
     Investigators
    -0.34
     editors
    -0.33
     investigators
    -0.33
    namentales
    -0.33
     defStyle
    -0.33
     Easy
    -0.33
    調べ
    -0.33
    himovic
    -0.33
     eaten
    -0.32
    POSITIVE LOGITS
     serving
    0.89
     smiling
    0.81
     greet
    0.78
    serving
    0.77
     Serving
    0.75
     greeting
    0.74
    smiling
    0.74
     waiters
    0.73
     waiter
    0.73
     serve
    0.73
    Activations Density 0.126%

    No Known Activations