INDEX

Explanations

occurrences of the acronym "Sem" followed by a number

oai_token-act-pair · gpt-3.5-turbo

references to seminaries or educational institutions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

 Strauss

-0.74

Thumbnail

-0.72

çĶŁ

-0.70

%%

-0.64

 otherwise

-0.64

ACTED

-0.62

IVE

-0.62

RAY

-0.62

ãģ¦

-0.62

HOME

-0.62

POSITIVE LOGITS

antics

1.33

inar

1.10

blance

1.10

iph

1.08

antic

1.07

©¶æ

1.02

aph

1.00

Sem

1.00

igroup

0.99

onyms

0.98

Activations Density 0.008%

occurrences of the acronym "Sem" followed by a number

references to seminaries or educational institutions

No Comments

No Known Activations

occurrences of the acronym "Sem" followed by a number

references to seminaries or educational institutions

No Comments

No Known Activations