INDEX

Explanations

proper nouns, specifically locations like cities and states

oai_token-act-pair · gpt-3.5-turbo

names of places and people, particularly in relation to legislative contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

itars

-0.74

selage

-0.74

anamo

-0.70

RNC

-0.69

uer

-0.66

terson

-0.65

rists

-0.64

aeda

-0.63

POS

-0.62

POSITIVE LOGITS

 Karn

1.09

 Hyder

1.00

ataka

0.92

airo

0.84

Rao

0.82

onite

0.78

gob

0.78

ius

0.77

 Pradesh

0.77

STON

0.76

Activations Density 0.007%

proper nouns, specifically locations like cities and states

names of places and people, particularly in relation to legislative contexts

No Comments

No Known Activations