INDEX

Explanations

NFL player positions such as running backs, wide receivers, defensive backs, and tight ends

oai_token-act-pair · gpt-3.5-turbo

positions and roles in a sports context, particularly football

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

-0.74

 Newsp

-0.70

beer

-0.68

ombat

-0.68

imoto

-0.67

atom

-0.66

 Mothers

-0.64

zb

-0.64

 Pictures

-0.63

 Editors

-0.62

POSITIVE LOGITS

NAME

0.96

OUT

0.86

 guru

0.86

 Scouting

0.85

Coach

0.85

 linebacker

0.82

 coach

0.82

 fullback

0.77

 cornerback

0.76

ACTED

0.76

Activations Density 0.074%

NFL player positions such as running backs, wide receivers, defensive backs, and tight ends

positions and roles in a sports context, particularly football

No Comments

No Known Activations