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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7546
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    Explanations

    references to bathrooms and related plumbing infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.66
     CreateTagHelper
    -0.65
    PyExc
    -0.56
     怎样
    -0.55
    AddHtmlAttribute
    -0.54
    PositiveButton
    -0.53
     espirituales
    -0.52
     OFDb
    -0.52
    WriteTagHelper
    -0.51
     juſt
    -0.51
    POSITIVE LOGITS
     toilet
    2.22
     toilets
    1.99
     restroom
    1.95
     Toilet
    1.87
     restrooms
    1.84
    toilet
    1.80
    Toilet
    1.78
     bathroom
    1.72
     bathrooms
    1.64
     toilettes
    1.55
    Activations Density 0.177%

    No Known Activations