INDEX

Explanations

references to specific books or movies within the entertainment industry

oai_token-act-pair · gpt-3.5-turbo

references to specific films or notable works in the entertainment industry

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

INGTON

-0.65

pedia

-0.65

ĳå£«

-0.63

reau

-0.62

ikuman

-0.61

ORGE

-0.59

akeru

-0.58

ongyang

-0.58

ipeg

-0.57

entle

-0.56

POSITIVE LOGITS

 Glac

0.70

 centrif

0.64

phia

0.64

 Elys

0.61

 haze

0.58

 glaciers

0.58

Ĭ±

0.58

unct

0.57

 Typhoon

0.57

ioxide

0.57

Activations Density 1.086%

references to specific books or movies within the entertainment industry

references to specific films or notable works in the entertainment industry

No Comments

No Known Activations