INDEX

Explanations

words related to locations, particularly harbors

oai_token-act-pair · gpt-3.5-turbo

references to harbors or related waterfront locations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

nesota

-0.87

yson

-0.84

andr

-0.79

chel

-0.79

uable

-0.76

ulously

-0.74

cious

-0.72

iferation

-0.72

Downloadha

-0.71

onym

-0.70

POSITIVE LOGITS

 harbor

0.84

 harbour

0.81

 harb

0.81

 Harbour

0.80

 Spit

0.79

 Ship

0.77

 Shore

0.72

front

0.72

bors

0.70

lords

0.69

Activations Density 0.031%

words related to locations, particularly harbors

references to harbors or related waterfront locations

No Comments

No Known Activations