INDEX

Explanations

specific keywords in text documents

oai_token-act-pair · gpt-3.5-turbo

specific nouns or terms related to documents and their content

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

racuse

-0.75

cellaneous

-0.66

ioxide

-0.63

capacity

-0.61

cffff

-0.61

 Vehicles

-0.59

interstitial

-0.59

ateral

-0.58

actionDate

-0.58

POSITIVE LOGITS

 itself

1.17

 consists

1.04

 exists

0.99

 consisted

0.94

 belongs

0.92

 revolves

0.90

 contains

0.89

 DOES

0.87

 doesnt

0.87

 existed

0.87

Activations Density 0.423%

specific keywords in text documents

specific nouns or terms related to documents and their content

No Comments

No Known Activations