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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 557
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    Explanations

    terms related to hotels and employers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    employee
    -0.40
     employee
    -0.38
    loyee
    -0.35
     doctor
    -0.34
     Employee
    -0.33
    显
    -0.33
    student
    -0.33
    ̈́
    -0.32
    mine
    -0.32
     receipt
    -0.32
    POSITIVE LOGITS
     retailers
    1.52
     wineries
    1.42
     employers
    1.42
     manufacturers
    1.41
     advertisers
    1.39
     firms
    1.36
     universities
    1.35
     Retailers
    1.32
     hotels
    1.32
     hospitals
    1.31
    Activations Density 0.201%

    No Known Activations