INDEX

Explanations

locations or institutions in different cities worldwide

oai_token-act-pair · gpt-3.5-turbo

the preposition "in" indicating locations or contexts within sentences

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

DragonMagazine

-0.80

 accordingly

-0.74

AMY

-0.71

untled

-0.69

ĺħ

-0.68

 gaping

-0.65

 sooner

-0.65

 innoc

-0.64

 performers

-0.64

pace

-0.64

POSITIVE LOGITS

 conjunction

1.24

 collaboration

1.13

 Washington

1.12

 partnership

1.10

 Charge

1.09

 London

1.06

 Canberra

1.06

 charge

1.05

 Arlington

1.04

 Geneva

1.03

Activations Density 0.128%

locations or institutions in different cities worldwide

the preposition "in" indicating locations or contexts within sentences

No Comments

No Known Activations