INDEX

Explanations

This neuron seems to activate on a variety of words, but with a certain bias towards food ingredients, place names, location names, and Japanese text

oai_token-act-pair · gemini-2.0-flash

Technical and foreign text

np_max-act-logits · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.24.ln2.hook_normalized

Architecture

jumprelu_transcoder

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 дописавши

-0.52

IntoConstraints

-0.52

sidemargin

-0.51

 spesies

-0.50

цездатний

-0.49

 Roskov

-0.49

 Holiness

-0.48

 UIFont

-0.48

 SqlParameter

-0.47

 heureuse

-0.47

POSITIVE LOGITS

 testSet

0.55

 كومونز

0.53

ีย

0.51

zbęd

0.49

muster

0.49

einander

0.48

NOPQRST

0.47

KommentareTeilen

0.47

Koordinaten

0.47

WebpackPlugin

0.46

Activations Density 1.801%

This neuron seems to activate on a variety of words, but with a certain bias towards food ingredients, place names, location names, and Japanese text

Technical and foreign text

No Comments

No Known Activations

This neuron seems to activate on a variety of words, but with a certain bias towards food ingredients, place names, location names, and Japanese text

Technical and foreign text

No Comments

No Known Activations