INDEX

Explanations

phrases related to mistreatment or misidentification

oai_token-act-pair · gpt-3.5-turbo

occurrences of the word "mist" as a prefix related to various contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.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

audi

-0.84

lishes

-0.83

Books

-0.75

OPLE

-0.69

Home

-0.68

ECD

-0.68

GS

-0.66

ggies

-0.64

versions

-0.64

STRUCT

-0.63

POSITIVE LOGITS

 mist

1.21

reatment

1.00

reated

0.99

ypes

0.91

mallow

0.81

reating

0.77

 unfocusedRange

0.74

lessly

0.74

ype

0.74

 Mist

0.72

Activations Density 0.003%

phrases related to mistreatment or misidentification

occurrences of the word "mist" as a prefix related to various contexts

No Comments

No Known Activations