INDEX

Explanations

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

oai_token-act-pair · gpt-3.5-turbo

emotions related to 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 @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.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

-0.83

ĻĤ

-0.73

asus

-0.70

 Conduct

-0.67

eor

-0.65

amen

-0.64

xon

-0.63

opsis

-0.62

gold

-0.62

 rough

-0.62

POSITIVE LOGITS

lessness

1.05

fulness

0.96

 stricken

0.94

 stemming

0.89

 arising

0.82

 overcame

0.82

ingly

0.81

 inflicted

0.79

 bordering

0.78

 awaiting

0.77

Activations Density 0.145%

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

emotions related to frustration and disappointment

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No Known Activations