INDEX

Explanations

phrases related to governmental agencies, specifically the Environmental Protection Agency and the Federal Aviation Administration

oai_token-act-pair · gpt-3.5-turbo

references to regulatory agencies related to environmental and aviation matters

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

names of government agencies

oai_token-act-pair · gpt-4-turbo

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

hero

-0.80

iple

-0.80

actionDate

-0.77

 Anfield

-0.76

 istg

-0.70

jad

-0.69

ontent

-0.68

eworld

-0.68

Kop

-0.68

bitious

-0.67

POSITIVE LOGITS

 Commission

0.79

 dime

0.78

 Commissioner

0.76

 Administrator

0.76

 Board

0.73

 Accountability

0.71

 Institute

0.70

 filings

0.69

 commissioner

0.69

 Regulations

0.68

Activations Density 0.134%

phrases related to governmental agencies, specifically the Environmental Protection Agency and the Federal Aviation Administration

references to regulatory agencies related to environmental and aviation matters

names of government agencies

No Comments

No Known Activations