INDEX

Explanations

phrases related to young people or individuals

oai_token-act-pair · gpt-3.5-turbo

mentions of young people and their experiences in society

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

orius

-0.85

\/\/

-0.77

ãĥ¢

-0.76

saf

-0.75

orse

-0.73

 showc

-0.71

pmwiki

-0.70

 Cosponsors

-0.69

SourceFile

-0.68

omical

-0.68

POSITIVE LOGITS

 graduating

1.09

 aged

1.01

 aspiring

0.96

who

0.94

 marrying

0.93

 ages

0.91

 dreaming

0.90

 enroll

0.88

 struggling

0.88

 aspir

0.87

Activations Density 0.208%

phrases related to young people or individuals

mentions of young people and their experiences in society

No Comments

No Known Activations