INDEX

Explanations

proper nouns related to locations or organizations

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs1536-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_1536

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

1,536

Data Type

torch.float32

Hook Point

blocks.8.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

mouth

-0.63

 Pell

-0.63

icut

-0.62

bats

-0.61

ocular

-0.59

rules

-0.57

nih

-0.57

 angular

-0.56

bart

-0.54

 underrated

-0.54

POSITIVE LOGITS

cific

0.84

pta

0.80

atchewan

0.79

ificant

0.79

letal

0.78

psons

0.73

nikov

0.72

everal

0.72

å£«

0.70

atoon

0.63

Activations Density 2.536%

proper nouns related to locations or organizations

No Comments

No Known Activations