INDEX

Explanations

references to penalties, specifically fines

oai_token-act-pair · gpt-3.5-turbo

terms related to penalties and fines

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

omorph

-0.92

omorphic

-0.91

ocaly

-0.81

groups

-0.79

ween

-0.76

rians

-0.72

NetMessage

-0.71

ready

-0.71

utherland

-0.70

ãĤ¨

-0.69

POSITIVE LOGITS

 levied

1.16

 fines

0.85

 evasion

0.84

 imposed

0.84

 fined

0.80

 incurred

0.79

alties

0.75

 hefty

0.73

 owed

0.72

 issued

0.72

Activations Density 0.034%

references to penalties, specifically fines

terms related to penalties and fines

No Comments

No Known Activations