INDEX

Explanations

phrases related to objects or entities in a sentence that can be the focus of attention

oai_token-act-pair · gpt-3.5-turbo

references to objects in various contexts

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

 millenn

-0.79

NPR

-0.76

ornia

-0.75

mph

-0.72

ricia

-0.70

egal

-0.69

lla

-0.67

heit

-0.66

corn

-0.66

ndra

-0.65

POSITIVE LOGITS

imus

0.99

ivity

0.98

ively

0.91

 objects

0.86

ishly

0.85

ives

0.84

objects

0.83

ification

0.83

ifications

0.82

ivist

0.82

Activations Density 0.026%

phrases related to objects or entities in a sentence that can be the focus of attention

references to objects in various contexts

No Comments

No Known Activations