INDEX

Explanations

mentions of teenage-related phrases or content within the text

oai_token-act-pair · gpt-3.5-turbo

references to teenagers and underage individuals in the context of legal or social issues

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

itsch

-0.96

daq

-0.92

adr

-0.85

ktop

-0.84

paio

-0.83

xon

-0.80

lda

-0.80

 Canaver

-0.79

uden

-0.78

olulu

-0.78

POSITIVE LOGITS

 boys

0.91

olesc

0.87

 teenagers

0.84

agers

0.84

 girls

0.82

 teenage

0.81

 adolesc

0.81

 adolescence

0.80

olescent

0.80

 males

0.79

Activations Density 0.007%

mentions of teenage-related phrases or content within the text

references to teenagers and underage individuals in the context of legal or social issues

No Comments

No Known Activations