INDEX

Explanations

names of football players and related terms

oai_token-act-pair · gpt-3.5-turbo

names of football players and their team affiliations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

 Hawai

-0.99

 Cherokee

-0.97

 Navajo

-0.87

 Idaho

-0.86

thia

-0.85

 Honolulu

-0.84

 Asheville

-0.84

 statewide

-0.79

 Anchorage

-0.79

CBC

-0.78

POSITIVE LOGITS

 Tottenham

1.53

 Arsenal

1.48

Arsenal

1.47

 Liverpool

1.46

 Chelsea

1.44

 Manchester

1.42

ottenham

1.42

 Mourinho

1.41

 Everton

1.40

 Sunderland

1.37

Activations Density 0.459%

names of football players and related terms

names of football players and their team affiliations

No Comments

No Known Activations