INDEX

Explanations

words related to employment or career struggles, especially in Germany

oai_token-act-pair · gpt-3.5-turbo

the occurrence of a specific name or term repeatedly in the text

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

ivia

-0.73

Market

-0.71

ELS

-0.70

ere

-0.67

Morning

-0.67

resh

-0.67

Rh

-0.66

acc

-0.66

reddits

-0.66

erest

-0.65

POSITIVE LOGITS

getic

0.81

roy

0.76

 unbeliev

0.76

 dilig

0.74

ogly

0.73

dain

0.72

 Than

0.72

 Blanc

0.72

 destro

0.71

upt

0.70

Activations Density 0.024%

words related to employment or career struggles, especially in Germany

the occurrence of a specific name or term repeatedly in the text

No Comments

No Known Activations