INDEX

Explanations

various words related to locations and events

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

proper nouns related to places, specifically names of towns or cities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-att-kk

Configuration

ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

float32

Hook Name

blocks.2.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

0:0.04

1:0.02

2:0.12

3:0.03

4:0.31

5:0.06

6:0.02

7:0.02

8:0.08

9:0.17

10:0.04

11:0.02

Negative Logits

olars

-1.32

np

-1.27

Plex

-1.26

doi

-1.25

 href

-1.23

occup

-1.21

fw

-1.19

btn

-1.19

 mosqu

-1.19

Redd

-1.19

POSITIVE LOGITS

steen

1.75

uration

1.36

 manslaughter

1.36

 Booker

1.36

tein

1.33

anders

1.33

 prose

1.31

hire

1.30

 Kane

1.27

 blasphemy

1.27

Activations Density 0.002%

various words related to locations and events

proper nouns related to places, specifically names of towns or cities

No Comments

No Known Activations