INDEX

Explanations

phrases related to pollution and environmental issues

oai_token-act-pair · gpt-3.5-turbo

references to particulate matter (PM) concentrations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

come

-0.80

ttes

-0.79

inese

-0.73

kefeller

-0.72

combe

-0.72

cipline

-0.72

wikipedia

-0.69

tyard

-0.68

leans

-0.67

seeing

-0.65

POSITIVE LOGITS

PD

0.94

PM

0.93

PAC

0.82

PC

0.80

ULE

0.79

UL

0.79

VP

0.78

essage

0.78

OND

0.78

utation

0.76

Activations Density 0.016%

phrases related to pollution and environmental issues

references to particulate matter (PM) concentrations

No Comments

No Known Activations