INDEX

Explanations

occurrences of specific words or terms within a text

oai_token-act-pair · gpt-3.5-turbo

occurrences of specific terms and their usage context

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

âĹ¼

-0.80

jri

-0.75

vic

-0.71

 Kats

-0.68

ithing

-0.65

ividual

-0.64

NetMessage

-0.63

etimes

-0.62

 millenn

-0.62

iland

-0.61

POSITIVE LOGITS

 itself

1.04

ultimate

0.81

0.77

''

0.74

icide

0.74

tymology

0.70

"_

0.69

=\"

0.68

"-

0.67

Activations Density 0.091%

occurrences of specific words or terms within a text

occurrences of specific terms and their usage context

No Comments

No Known Activations