INDEX

Explanations

words related to industrial and organizational contexts

oai_token-act-pair · gpt-3.5-turbo

terms related to industrial and organizational contexts

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

èĢħ

-0.73

xual

-0.72

 "$:/

-0.72

itely

-0.67

 reward

-0.65

ipolar

-0.65

Ö¼

-0.64

 coron

-0.63

ANCE

-0.63

blance

-0.63

POSITIVE LOGITS

 ponds

0.79

 greenhouse

0.70

ornia

0.70

 Indust

0.69

 harvesting

0.68

 âĵĺ

0.68

 Greenpeace

0.68

 dams

0.68

houses

0.68

 deforestation

0.68

Activations Density 0.705%

words related to industrial and organizational contexts

terms related to industrial and organizational contexts

No Comments

No Known Activations