INDEX

Explanations

phrases related to sports transactions and player acquisitions

oai_token-act-pair · gpt-3.5-turbo

commas in text

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

 legislatures

-0.75

rooms

-0.66

urches

-0.66

Issue

-0.63

sylv

-0.63

bits

-0.62

 Parties

-0.62

library

-0.61

nih

-0.61

riet

-0.61

POSITIVE LOGITS

 whom

1.07

Jr

1.06

 rookie

1.00

who

0.97

who

0.96

 coached

0.95

aka

0.90

 undrafted

0.88

RHP

0.88

 whose

0.88

Activations Density 0.132%

phrases related to sports transactions and player acquisitions

commas in text

No Comments

No Known Activations