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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1782
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    Explanations

    references to different types of forests and vegetation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     exponential
    -0.54
     Exponential
    -0.54
    exponential
    -0.50
    mybatisplus
    -0.49
    Autoritní
    -0.47
    GEBURTSDATUM
    -0.45
    wapV
    -0.45
    ponential
    -0.45
    SPATH
    -0.45
     Ella
    -0.44
    POSITIVE LOGITS
     forestry
    1.14
     forest
    1.13
    Forest
    1.09
     Forestry
    1.07
     forests
    1.05
     Forest
    1.05
    forest
    1.05
     FOREST
    1.02
     Forests
    1.01
    forests
    0.96
    Activations Density 0.296%

    No Known Activations