INDEX

Explanations

words related to attracting people such as tourists, investors, students, and migrants

oai_token-act-pair · gpt-3.5-turbo

terms related to attracting people and investment, particularly in economic contexts

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.10.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

cknow

-0.91

saf

-0.77

©¶æ

-0.62

 Silence

-0.60

SourceFile

-0.58

 Accuracy

-0.58

 voic

-0.57

 scoreboard

-0.57

INAL

-0.56

å¼

-0.56

POSITIVE LOGITS

 fleeing

1.11

 into

1.09

 arriving

1.00

hips

0.96

hip

0.93

 onto

0.91

 entering

0.90

 migrating

0.89

 lured

0.89

 eager

0.88

Activations Density 0.273%

words related to attracting people such as tourists, investors, students, and migrants

terms related to attracting people and investment, particularly in economic contexts

No Comments

No Known Activations