INDEX

Explanations

names of people and their professional titles in a journalistic context

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

-0.76

soDeliveryDate

-0.68

 bragging

-0.65

viation

-0.64

lication

-0.63

 guiName

-0.62

estamp

-0.62

VALUE

-0.62

FTWARE

-0.62

 Symbol

-0.61

POSITIVE LOGITS

 camer

0.75

 translator

0.74

 transl

0.67

 Reporter

0.66

 editing

0.66

usha

0.66

 Editing

0.65

Edited

0.64

 editor

0.63

break

0.62

Activations Density 0.106%

names of people and their professional titles in a journalistic context

No Comments

No Known Activations