INDEX

Explanations

words related to violent or criminal activities

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_fs1536-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_1536

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

1,536

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

é¾įåĸļå£«

-0.69

 pitch

-0.69

Beg

-0.68

 Mechdragon

-0.67

 foul

-0.63

 center

-0.60

 Hath

-0.59

 hottest

-0.59

 Pitch

-0.59

 Prompt

-0.58

POSITIVE LOGITS

ichael

1.23

useum

1.18

igrant

1.17

igrants

1.17

antle

1.17

ixed

1.16

ISSION

1.14

otive

1.13

uppet

1.12

ornings

1.12

Activations Density 1.148%

words related to violent or criminal activities

No Comments

No Known Activations