INDEX

Explanations

consecutive words related to negative aspects or challenges in various contexts

oai_token-act-pair · gpt-3.5-turbo

phrases emphasizing the word "that" in various contexts

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

ilet

-0.73

ji

-0.72

vre

-0.72

Desk

-0.70

dry

-0.67

LY

-0.67

uty

-0.64

Tax

-0.64

Ble

-0.62

ally

-0.62

POSITIVE LOGITS

 accompanies

1.15

 surrounds

1.12

accompan

1.00

 entails

0.95

 awaits

0.95

 preceded

0.91

 surround

0.89

 governs

0.89

 arose

0.88

 spawned

0.88

Activations Density 0.158%

consecutive words related to negative aspects or challenges in various contexts

phrases emphasizing the word "that" in various contexts

No Comments

No Known Activations