Circuit Sparsity

No connected neurons data available

Explanations

`str` or `init` or `type`

python-code · gemini-2.5-flash-lite

max_ or ine suffix (negative activations)

python-code · gemini-2.5-flash-lite

Auto-Interp Tools

Configuration

Prompts (Dashboard)

16,384 prompts, 256 tokens each

Dataset (Dashboard)

neuronpedia/python-code-simplified

Embeds

IFrame

Link

Negative Logits

gest

-0.07

.he

-0.07

own

-0.06

(he

-0.06

oc

-0.06

essage

-0.06

ates

-0.06

od

-0.05

Positive Logits

()<|

0.07

timal

0.07

dint

0.07

straints

0.07

prese

0.07

"↵↵

0.06

}")↵↵

0.06

stac

0.06

didate

0.06

}")<|

0.06

Activations Density 100.000%

No Known Activations

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Circuit Sparsity

No connected neurons data available

Explanations

sorting with arguments (negative activations)

python-code · gemini-2.5-flash-lite

Auto-Interp Tools

Configuration

Prompts (Dashboard)

16,384 prompts, 256 tokens each

Dataset (Dashboard)

neuronpedia/python-code-simplified

Embeds

IFrame

Link

Negative Logits

prese

-0.04

 represent

-0.03

 contain

-0.03

anage

-0.02

has

-0.02

put

-0.02

valu

-0.02

area

-0.02

our

-0.01

team

-0.01

Positive Logits

0.03

0.02

ath

0.01

 cont

0.01

ast

0.01

olution

0.01

.x

0.00

Activations Density 87.688%

`__str__` or `__init__` or `__type__`

max_ or __ine__ suffix (negative activations)

No Known Activations

sorting with arguments (negative activations)

No Known Activations

`str` or `init` or `type`

max_ or ine suffix (negative activations)