INDEX

Explanations

phrases related to pharmaceutical companies awarding scholarships

oai_token-act-pair · gpt-3.5-turbo

instances of a particular character or symbol in the text

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

 Belg

-0.75

 scattering

-0.74

 impart

-0.73

 Dresden

-0.72

 scatter

-0.72

 spontaneously

-0.70

 whichever

-0.68

 board

-0.68

 Pilgrim

-0.67

 clad

-0.67

POSITIVE LOGITS

Į

1.48

¹

1.43

º

1.35

ª

1.32

į

1.31

£

1.25

»

1.23

ı

1.21

¬

1.17

²

1.17

Activations Density 0.150%

phrases related to pharmaceutical companies awarding scholarships

instances of a particular character or symbol in the text

No Comments

No Known Activations