INDEX

Explanations

specific city names, especially related to India

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly those related to locations and cultural contexts

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

 Staten

-0.80

ages

-0.78

RH

-0.75

ifts

-0.71

Atlantic

-0.70

 Goodell

-0.70

innacle

-0.69

Weiss

-0.68

Newsletter

-0.65

 Kessler

-0.65

POSITIVE LOGITS

 Pradesh

1.36

 Sharma

1.23

umbai

1.12

jriwal

1.12

 Singh

1.05

 Sabha

1.01

 crore

1.01

 Nadu

1.00

 Bhar

0.96

 Patel

0.94

Activations Density 0.076%

specific city names, especially related to India

proper nouns, particularly those related to locations and cultural contexts

No Comments

No Known Activations