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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5372
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    Explanations

    specific references to bathrooms and sanitation facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    outSlope
    -0.42
     Económica
    -0.41
     WaitForSeconds
    -0.40
    źć
    -0.39
     actualidad
    -0.39
    tagHelperRunner
    -0.38
     Keuangan
    -0.38
     paroisse
    -0.36
     Erwachsenen
    -0.36
     Olivenöl
    -0.35
    POSITIVE LOGITS
     toilet
    1.32
     Toilet
    1.19
     toilets
    1.18
    toilet
    1.10
    Toilet
    1.09
     bathroom
    1.00
     restroom
    0.99
    トイレ
    0.97
     туа
    0.93
     toilettes
    0.91
    Activations Density 0.172%

    No Known Activations