INDEX

Explanations

proper nouns related to the city of Toronto

oai_token-act-pair · gpt-3.5-turbo

mentions of the city of Toronto and its professional sports teams

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.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

ultan

-0.76

hardt

-0.76

ãĤ©

-0.75

gins

-0.74

 disse

-0.74

icio

-0.72

vier

-0.72

ulative

-0.71

arist

-0.70

orer

-0.69

POSITIVE LOGITS

 Argon

0.96

 Maple

0.95

 Harbour

0.94

FC

0.89

 Raptors

0.89

 Hydro

0.81

 Centre

0.80

 Heights

0.79

 harbour

0.73

 skyline

0.70

Activations Density 0.029%

proper nouns related to the city of Toronto

mentions of the city of Toronto and its professional sports teams

No Comments

No Known Activations