INDEX

Explanations

proper nouns related to a particular person named 'Hale'

oai_token-act-pair · gpt-3.5-turbo

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

oshenko

-1.13

lass

-0.97

versive

-0.96

lasses

-0.91

reet

-0.83

izoph

-0.82

abulary

-0.78

posium

-0.77

ertodd

-0.77

ktop

-0.77

POSITIVE LOGITS

ella

0.77

HAHA

0.76

 Trout

0.75

 Bears

0.74

 Baylor

0.72

HAHAHAHA

0.72

 Lamar

0.72

 Heard

0.70

beer

0.69

 Houston

0.68

Activations Density 0.027%

proper nouns related to a particular person named 'Hale'

No Comments

No Known Activations