INDEX

Explanations

words related to negative emotions such as anger, frustration, disappointment, and dissatisfaction

oai_token-act-pair · gpt-3.5-turbo

expressions of frustration and disappointment

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

amins

-0.77

ĻĤ

-0.71

lein

-0.68

ASC

-0.67

asus

-0.67

ioch

-0.64

 authenticated

-0.64

odon

-0.63

OGR

-0.62

arnaev

-0.62

POSITIVE LOGITS

ingly

1.15

 overcame

0.93

 arising

0.86

 felt

0.85

 stemming

0.85

 bordering

0.83

 fatigue

0.82

 stricken

0.81

 caused

0.81

 compounded

0.80

Activations Density 0.135%

words related to negative emotions such as anger, frustration, disappointment, and dissatisfaction

expressions of frustration and disappointment

No Comments

No Known Activations