INDEX

Explanations

phrases related to measuring or discussing air pollution levels

oai_token-act-pair · gpt-3.5-turbo

references to particulate matter (PM) levels and related health implications

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

ttes

-0.85

come

-0.83

combe

-0.74

 scrimmage

-0.70

seeing

-0.64

neys

-0.64

 abdom

-0.63

uit

-0.62

okia

-0.61

 spirits

-0.61

POSITIVE LOGITS

PD

0.97

ULE

0.92

Cs

0.91

PM

0.87

NH

0.87

0.86

MU

0.86

GS

0.84

DB

0.83

ORTS

0.82

Activations Density 0.023%

phrases related to measuring or discussing air pollution levels

references to particulate matter (PM) levels and related health implications

No Comments

No Known Activations