INDEX

Explanations

This neuron seems to find a variety of words that have little semantic connection with activations depending on surrounding text

oai_token-act-pair · gemini-2.0-flash

distance

np_max-act-logits · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_20/width_16k/average_l0_11

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.20.ln2.hook_normalized

Architecture

jumprelu_transcoder

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Negative Logits

queryInterface

-0.63



-0.61

 onCancelled

-0.60

endphp

-0.59

 ModelExpression

-0.58

fjspx

-0.57

gypte

-0.55

Portály

-0.55

ProgressHUD

-0.55

setBold

-0.55

POSITIVE LOGITS

 distance

2.19

 Distance

1.85

distance

1.83

 distances

1.80

far

1.76

Distance

1.76

 miles

1.68

 DISTANCE

1.63

far

1.58

 distant

1.45

Activations Density 4.403%

This neuron seems to find a variety of words that have little semantic connection with activations depending on surrounding text

distance

No Known Activations