INDEX

Explanations

names of specific entities or individuals, such as analysts, police, Jon, CNN, city officials, and researchers

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

references to authority figures and their actions, particularly in legal and political contexts

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

1:0.11

2:0.11

3:0.03

4:0.02

5:0.04

6:0.07

7:0.06

8:0.30

9:0.04

10:0.08

11:0.06

Negative Logits

jri

-1.68

cible

-1.56

berus

-1.54

osher

-1.46

inis

-1.36

lynn

-1.26

arez

-1.25

isable

-1.24

aiden

-1.24

yss

-1.23

POSITIVE LOGITS

 didn

1.46

ain

1.44

isn

1.38

 doesn

1.38

 hadn

1.36

 couldn

1.36

 wasn

1.31

 didnt

1.28

 doesnt

1.26

 cannot

1.25

Activations Density 0.181%

names of specific entities or individuals, such as analysts, police, Jon, CNN, city officials, and researchers

references to authority figures and their actions, particularly in legal and political contexts

No Comments

No Known Activations

names of specific entities or individuals, such as analysts, police, Jon, CNN, city officials, and researchers

references to authority figures and their actions, particularly in legal and political contexts

No Comments

No Known Activations