INDEX

Explanations

terms related to locations or organizations

oai_token-act-pair · gpt-3.5-turbo

specific proper nouns and entities, particularly names related to individuals or locations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 tread

-0.87

Rog

-0.86

 tatt

-0.85

 warr

-0.82

oun

-0.76

Rud

-0.73

Wer

-0.73

Roe

-0.73

 swoop

-0.71

Whe

-0.70

POSITIVE LOGITS

ina

1.26

inas

0.91

INA

0.90

aff

0.87

ita

0.82

 Sina

0.80

Alias

0.80

ael

0.79

anish

0.77

ains

0.76

Activations Density 0.154%

terms related to locations or organizations

specific proper nouns and entities, particularly names related to individuals or locations

No Comments

No Known Activations