INDEX

Explanations

words related to negative emotions or experiences such as 'depressing' or 'disappointing'

oai_token-act-pair · gpt-3.5-turbo

themes related to negativity and disappointment

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

•layer 0 - sadness

No Comments

Negative Logits

ona

-0.91

tree

-0.80

ibi

-0.80

aldo

-0.75

unity

-0.72

 Immunity

-0.70

qa

-0.69

onomy

-0.68

deen

-0.67

 Xavier

-0.67

POSITIVE LOGITS

 depress

3.84

 depressing

1.90

 disappoint

1.62

 disturb

1.30

 baff

1.19

 cush

1.18

 sadd

1.18

 crim

1.14

 subtract

1.10

 stimul

0.98

Activations Density 0.028%

words related to negative emotions or experiences such as 'depressing' or 'disappointing'

themes related to negativity and disappointment

No Comments

No Known Activations