INDEX

Explanations

statistics related to performance in sports, specifically focusing on shooting accuracy and injuries

oai_token-act-pair · gpt-3.5-turbo

references to "the field" in a sports context

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

éĹĺ

-0.77

bian

-0.75

ilyn

-0.75

ILA

-0.70

 BaseType

-0.67

 Seas

-0.65

Es

-0.65

itarian

-0.65

borgh

-0.64

doms

-0.64

POSITIVE LOGITS

keepers

0.84

field

0.82

keeping

0.82

keeper

0.80

ilage

0.78

fields

0.77

plane

0.76

cloth

0.72

ftime

0.71

 batting

0.71

Activations Density 0.018%

statistics related to performance in sports, specifically focusing on shooting accuracy and injuries

references to "the field" in a sports context

No Comments

No Known Activations