INDEX

Explanations

notable people from various professions and locations

oai_token-act-pair · gpt-3.5-turbo

proper nouns or names associated with various professions or identities

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

zers

-0.82

erity

-0.79

ize

-0.72

olars

-0.71

":"/

-0.71

OTUS

-0.70

pring

-0.69

ords

-0.69

obin

-0.68

enthal

-0.68

POSITIVE LOGITS

 respectively

0.90

etc

0.83

 albeit

0.81

 whose

0.75

 lecturer

0.74

 specializing

0.73

 founded

0.72

 moreover

0.70

 educator

0.67

Activations Density 0.214%

notable people from various professions and locations

proper nouns or names associated with various professions or identities

No Comments

No Known Activations