INDEX

Explanations

terms related to industries like aerospace, automotive, semiconductors, and telecommunications

oai_token-act-pair · gpt-3.5-turbo

instances of different industrial sectors like aerospace, automotive, and telecommunications

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

steen

-0.99

Bird

-0.80

orah

-0.80

bah

-0.80

ched

-0.78

ilts

-0.78

heimer

-0.77

abee

-0.77

gs

-0.77

chery

-0.76

POSITIVE LOGITS

 industry

1.30

 conglomer

1.11

 industries

1.07

 firms

1.07

 conglomerate

1.07

 sector

1.03

 mogul

1.02

 magn

1.02

 companies

1.00

 giants

1.00

Activations Density 0.097%

terms related to industries like aerospace, automotive, semiconductors, and telecommunications

instances of different industrial sectors like aerospace, automotive, and telecommunications

No Comments

No Known Activations