INDEX

Explanations

references to specific retail chains such as Walmart and Target, particularly in relation to potential services or policies

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

New Auto-Interp

Top Features by Cosine Similarity

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

0:0.05

1:0.07

2:0.14

3:0.07

4:0.04

5:0.08

6:0.04

7:0.04

8:0.04

9:0.24

10:0.09

11:0.04

Negative Logits

irlf

-1.58

 disse

-1.38

alus

-1.32

git

-1.32

rar

-1.32

 separat

-1.31

arse

-1.30

requisites

-1.29

 rupt

-1.28

��

-1.26

POSITIVE LOGITS

 Discount

1.74

 Gleaming

1.57

 Stores

1.49

 Advertising

1.48

 Holdings

1.44

 Savings

1.44

 Customers

1.43

Sales

1.38

 Coup

1.37

 Employees

1.36

Activations Density 0.023%

references to specific retail chains such as Walmart and Target, particularly in relation to potential services or policies

No Comments

No Known Activations

references to specific retail chains such as Walmart and Target, particularly in relation to potential services or policies

No Comments

No Known Activations