INDEX

Explanations

proper nouns related to various locations (cities, states, countries)

oai_token-act-pair · gpt-3.5-turbo

references to geographical locations and cities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

hops

-0.75

ãĥł

-0.75

arial

-0.75

VALUE

-0.73

akable

-0.72

vana

-0.70

-0.69

ãĤ½

-0.68

pire

-0.67

lihood

-0.67

POSITIVE LOGITS

 Mayor

1.18

 authorities

1.11

 resident

1.08

 residents

1.08

 prosecutors

1.08

 officials

1.07

 Attorney

1.05

 natives

1.04

 lawmakers

1.03

 police

1.02

Activations Density 0.244%

proper nouns related to various locations (cities, states, countries)

references to geographical locations and cities

No Comments

No Known Activations