INDEX

Explanations

occurrences related to various types of interactions involving individuals

oai_token-act-pair · gpt-3.5-turbo

nouns related to various roles or professions in social contexts

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 binaries

-0.73

 levers

-0.71

bows

-0.71

 mosa

-0.70

 modifiers

-0.70

 intersections

-0.69

 Directors

-0.69

 punishments

-0.68

 gears

-0.68

 Cups

-0.68

POSITIVE LOGITS

who

1.12

 whom

1.06

 named

1.00

who

0.97

 whose

0.92

whose

0.84

friend

0.82

lier

0.81

alyst

0.77

 classmate

0.76

Activations Density 0.286%

occurrences related to various types of interactions involving individuals

nouns related to various roles or professions in social contexts

No Comments

No Known Activations