INDEX

Explanations

company names, specifically focusing on the phrase "Standard & Poor's"

oai_token-act-pair · gpt-3.5-turbo

references to the financial data and ratings associated with Standard & Poor's

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

bling

-0.72

choes

-0.71

aina

-0.70

ãĥĥãĤ¯

-0.69

olson

-0.64

yang

-0.64

uster

-0.64

 liner

-0.64

mage

-0.63

rine

-0.62

POSITIVE LOGITS

 Shots

0.96

 Index

0.92

 Fund

0.90

ebus

0.90

 Matters

0.88

 Ratings

0.88

 Votes

0.88

 Analytics

0.87

 Investor

0.86

 Pieces

0.85

Activations Density 0.046%

company names, specifically focusing on the phrase "Standard & Poor's"

references to the financial data and ratings associated with Standard & Poor's

No Comments

No Known Activations