INDEX

Explanations

proper nouns related to various locations and people

oai_token-act-pair · gpt-3.5-turbo

place names and proper nouns related to specific locations

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

lihood

-0.95

Il

-0.80

hl

-0.80

cia

-0.78

lv

-0.78

Torrent

-0.76

CU

-0.76

addle

-0.75

rote

-0.74

rolog

-0.74

POSITIVE LOGITS

 Compton

0.81

 guiActiveUnfocused

0.76

icago

0.75

 Webster

0.72

 flats

0.69

rador

0.69

 Parsons

0.69

spection

0.69

 Yard

0.68

 fractures

0.66

Activations Density 0.018%

proper nouns related to various locations and people

place names and proper nouns related to specific locations

No Comments

No Known Activations