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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. 7296
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    Explanations

    variations of the name "Tan" and its context in the document

    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
     للاسماء
    -0.57
    findpost
    -0.55
     resourceCulture
    -0.46
    
    -0.46
    VideoCapture
    -0.46
     ObjectParameter
    -0.46
     noDo
    -0.45
     հղումներ
    -0.44
     ब्रेकडाउन
    -0.44
    رشف
    -0.43
    POSITIVE LOGITS
     tan
    0.77
     Tan
    0.70
    Tan
    0.68
     تان
    0.64
     TAN
    0.64
     Тан
    0.59
     Tanner
    0.55
    tamount
    0.54
    Тан
    0.52
    Tanner
    0.50
    Activations Density 0.110%

    No Known Activations