INDEX

Explanations

specific references to the city of Toronto

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_fs24576-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

ultan

-0.73

ãĤ©

-0.72

ulative

-0.72

 disse

-0.71

hardt

-0.71

gins

-0.71

vier

-0.70

mble

-0.69

 Verb

-0.68

esson

-0.68

POSITIVE LOGITS

FC

0.97

 Harbour

0.97

 Maple

0.95

 Argon

0.92

 Raptors

0.88

 Heights

0.84

 Centre

0.81

 Hydro

0.77

 harbour

0.76

 Peaks

0.73

Activations Density 0.029%

specific references to the city of Toronto

No Comments

No Known Activations