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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7055
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    specific names and places related to food establishments or culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    AndEndTag
    -0.46
    cshtml
    -0.40
     jadx
    -0.40
    neta
    -0.36
     stol
    -0.36
    daf
    -0.36
    责任编辑
    -0.36
    LabelTagHelper
    -0.36
     Dand
    -0.35
     Sentinel
    -0.35
    POSITIVE LOGITS
     Hsu
    0.68
     Chung
    0.65
     Chiu
    0.63
     Chow
    0.60
     Chi
    0.60
     Chou
    0.58
     Tsai
    0.58
     Chu
    0.58
     Lee
    0.58
     Chia
    0.58
    Activations Density 0.281%

    No Known Activations