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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9322
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    specific locations related to railway stations in Switzerland

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wicidata
    -0.58
    OCCURRED
    -0.43
    StoryboardSegue
    -0.41
     Biôgrafia
    -0.41
     rhestr
    -0.41
    AddTagHelper
    -0.40
     pageable
    -0.40
    öße
    -0.38
     архивлан
    -0.38
    ="@+
    -0.36
    POSITIVE LOGITS
     Swiss
    1.84
     swiss
    1.63
    Swiss
    1.62
     Switzerland
    1.54
    swiss
    1.38
    Switzerland
    1.37
    瑞士
    1.25
     Zurich
    1.23
     Schweizer
    1.20
     швей
    1.18
    Activations Density 0.207%

    No Known Activations