INDEX

Explanations

words related to offices and meetings

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_fs3072-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_3072

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

3,072

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

oise

-0.94

theless

-0.75

âķĲâķĲ

-0.74

MQ

-0.69

ivals

-0.68

olini

-0.68

 Haram

-0.66

ulic

-0.65

eful

-0.65

Movie

-0.61

POSITIVE LOGITS

holder

1.07

holders

1.07

tops

0.95

room

0.86

0.84

 holder

0.81

 prosec

0.80

gur

0.77

mate

0.76

person

0.75

Activations Density 0.652%

words related to offices and meetings

No Comments

No Known Activations