INDEX

Explanations

specific keywords related to metalworking or industrial processes

oai_token-act-pair · gpt-3.5-turbo

references denoted by the term "Ref" followed by a number

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

daq

-0.68

 heights

-0.66

 tale

-0.62

 deed

-0.61

 Sieg

-0.61

################

-0.60

uliffe

-0.60

CHO

-0.60

 Horses

-0.60

 Cout

-0.60

POSITIVE LOGITS

eree

1.25

lection

1.24

erential

1.23

erences

1.23

riger

1.23

ractive

1.23

raction

1.20

actor

1.20

inement

1.16

eren

1.16

Activations Density 0.025%

specific keywords related to metalworking or industrial processes

references denoted by the term "Ref" followed by a number

No Comments

No Known Activations