INDEX

Explanations

entities related to specific people like "Monroe" and "Lyon"

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of people and places

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

arded

-0.78

unks

-0.74

arding

-0.74

abor

-0.73

reddits

-0.72

rets

-0.70

gravity

-0.70

rogen

-0.70

uden

-0.69

abytes

-0.68

POSITIVE LOGITS

street

0.91

alties

0.91

 Monroe

0.87

 Lyon

0.82

court

0.80

selves

0.79

hurst

0.76

 Superior

0.75

ville

0.71

ette

0.70

Activations Density 0.038%

entities related to specific people like "Monroe" and "Lyon"

proper nouns, particularly names of people and places

No Comments

No Known Activations