INDEX

Explanations

words related to structural elements like "tin", "fort", and "makeshift"

oai_token-act-pair · gpt-3.5-turbo

words related to materials and structures, particularly tin and fortifications

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

NetMessage

-0.75

EED

-0.72

=#

-0.69

ean

-0.68

relations

-0.68

Route

-0.66

uality

-0.65

âĸ¬

-0.63

iva

-0.62

POSITIVE LOGITS

 shack

0.76

ilts

0.74

pole

0.72

 Sack

0.70

osher

0.70

 bunk

0.69

 bunker

0.69

bag

0.67

kson

0.67

 fort

0.66

Activations Density 0.077%

words related to structural elements like "tin", "fort", and "makeshift"

words related to materials and structures, particularly tin and fortifications

No Comments

No Known Activations