INDEX

Explanations

references to specific locations or cities

oai_token-act-pair · gpt-3.5-turbo

mentions of specific locations, particularly cities and their names

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

 lighter

-0.67

 fodder

-0.67

 cows

-0.66

 Barkley

-0.65

 abund

-0.64

 wells

-0.63

aved

-0.62

 Stewart

-0.62

 variance

-0.61

hawk

-0.60

POSITIVE LOGITS

 Lumpur

1.09

upid

0.96

ascus

0.90

 Janeiro

0.89

 City

0.87

iang

0.86

 Municip

0.81

iens

0.80

zhou

0.79

hao

0.76

Activations Density 0.053%

references to specific locations or cities

mentions of specific locations, particularly cities and their names

No Comments

No Known Activations