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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10623
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    Explanations

    references to marine environments and their associated transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aspen
    -0.41
    群馬
    -0.39
    rdı
    -0.39
     tap
    -0.39
     Guanajuato
    -0.38
     Kyrgyzstan
    -0.37
    denver
    -0.37
    長野
    -0.37
    étaro
    -0.37
    formik
    -0.36
    POSITIVE LOGITS
     marine
    1.51
     sea
    1.48
     maritime
    1.46
     ocean
    1.46
     seawater
    1.45
     sailors
    1.44
     sailing
    1.43
     nautical
    1.41
     boats
    1.38
     ashore
    1.37
    Activations Density 2.665%

    No Known Activations