INDEX

Explanations

mentions of scoring goals in a sports context

oai_token-act-pair · gpt-3.5-turbo

references to scoring goals in sports

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.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

lly

-0.73

tan

-0.72

xus

-0.68

esan

-0.66

 Layer

-0.65

agan

-0.64

xon

-0.64

esa

-0.62

UAL

-0.60

 expense

-0.60

POSITIVE LOGITS

 scored

0.87

 scoring

0.80

card

0.78

monton

0.76

heet

0.73

ificial

0.73

ific

0.72

 Rica

0.72

otle

0.71

 touchdowns

0.70

Activations Density 0.015%

mentions of scoring goals in a sports context

references to scoring goals in sports

No Comments

No Known Activations