INDEX

Explanations

proper nouns, specifically locations and companies

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of locations and organizations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

obb

-0.74

iffe

-0.71

iott

-0.70

ount

-0.66

Dob

-0.65

acious

-0.64

abb

-0.62

forward

-0.61

unders

-0.61

NF

-0.60

POSITIVE LOGITS

âĸ¬âĸ¬

0.84

eers

0.84

ching

0.84

eer

0.82

thia

0.80

neys

0.80

heed

0.78

seys

0.76

 Alam

0.75

ney

0.73

Activations Density 0.049%

proper nouns, specifically locations and companies

proper nouns, particularly names of locations and organizations

No Comments

No Known Activations