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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12463
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    proper nouns related to educational institutions and notable figures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    PyExc
    -0.48
     ویکی‌پدی
    -0.45
    uxxxx
    -0.45
    σμα
    -0.44
    Portály
    -0.44
    angliski
    -0.44
    InjectAttribute
    -0.43
    TypedDataSet
    -0.42
     Numerade
    -0.40
    balleur
    -0.40
    POSITIVE LOGITS
    Tamil
    0.63
    batore
    0.58
     Tamil
    0.58
     tamil
    0.55
     Reddy
    0.50
    anneer
    0.49
     Karnataka
    0.49
     Telugu
    0.48
    Chennai
    0.46
     Kannada
    0.46
    Activations Density 0.109%

    No Known Activations