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    2. Gemma-3-27B-IT
    3. 31-GEMMASCOPE-2-TRANSCODER-262K
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    dashfrom dash import dcc, htmlfrom dash.dependencies import Input, Outputimport pandas as pdimport plotly dash import htmlfrom dash import dcc # Create a Dash app instance app = dash.Dash(__name__) # Define the app layout app.layout = html.Div(children=[ html.H1(} df = pd.DataFrame(data) # Initialize the Dash app app = dash.Dash(__name__) # Define the app layout app.layout = html.Div([ html.H1("Sales Dashboarddown tracking for semiconductor manufacturer buisness. generate fake test dataset<end_of_turn>""```python import dash from dash import dcc, html from dash.dependencies import Input, Output import pandas as pd import numpy*what* you want the UI to look like based on the state of your data, and Dash handles the updates. * **Components

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-27b-it/transcoder_all/layer_31_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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