INDEX

Explanations

words related to medical conditions and treatments, specifically those related to hyperkinetic movements

oai_token-act-pair · gpt-3.5-turbo

references to children or child-related topics

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 Seym

-0.75

enance

-0.74

UNE

-0.71

ffic

-0.71

eas

-0.70

reon

-0.66

inance

-0.66

senal

-0.66

 cryst

-0.63

OND

-0.62

POSITIVE LOGITS

etics

1.16

ning

1.14

etic

1.10

wagen

1.08

etically

1.08

ned

1.07

ners

1.02

ny

1.01

esthetic

1.00

creen

0.98

Activations Density 0.019%

words related to medical conditions and treatments, specifically those related to hyperkinetic movements

references to children or child-related topics

No Comments

No Known Activations