INDEX

Explanations

proper nouns or entities such as names of countries, companies, and people, especially focusing on partnerships

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

key indicators of institutional presence and activity in various sectors

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-att-kk

Configuration

ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

float32

Hook Name

blocks.3.attn.hook_z

Hook Layer

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Head Attr Weights

0:0.03

1:0.16

2:0.11

3:0.02

4:0.02

5:0.03

6:0.07

7:0.05

8:0.28

9:0.07

10:0.05

11:0.06

Negative Logits

xual

-1.23

emic

-1.21

eworthy

-1.21

auri

-1.21

eneg

-1.19

.?

-1.14

plom

-1.14

‎

-1.12

razen

-1.11

urrency

-1.10

POSITIVE LOGITS

 progresses

1.41

Pie

1.21

 unfolds

1.18

jit

1.17

Lie

1.16

["

1.15

 Hunt

1.15

 enters

1.13

 tries

1.13

龍�

1.11

Activations Density 0.093%

proper nouns or entities such as names of countries, companies, and people, especially focusing on partnerships

key indicators of institutional presence and activity in various sectors

No Comments

No Known Activations

proper nouns or entities such as names of countries, companies, and people, especially focusing on partnerships

key indicators of institutional presence and activity in various sectors

No Comments

No Known Activations