INDEX

Explanations

keywords related to wheels and vehicles

oai_token-act-pair · gpt-3.5-turbo

references to wheels and related components 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 @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

 Wong

-0.68

 circumstance

-0.66

vertis

-0.66

jur

-0.66

ulton

-0.66

atha

-0.64

 Nguyen

-0.64

ardy

-0.62

uni

-0.61

 Commonwealth

-0.61

POSITIVE LOGITS

mith

1.15

pace

1.01

peed

0.98

paces

0.92

hip

0.88

 wheels

0.86

pin

0.85

hops

0.84

linger

0.82

ets

0.81

Activations Density 0.016%

keywords related to wheels and vehicles

references to wheels and related components in various contexts

No Comments

No Known Activations