INDEX

Explanations

legal or organizational entities and acronyms, especially those related to economics

oai_token-act-pair · gpt-3.5-turbo

phrases containing the word "for" related to various organizations or institutes

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

fleet

-0.75

mouth

-0.71

 linem

-0.67

 guru

-0.66

pel

-0.66

strip

-0.65

mort

-0.64

 conductor

-0.63

 gorge

-0.63

 pair

-0.63

POSITIVE LOGITS

bidden

0.90

 Investigative

0.89

gotten

0.87

 Sustainable

0.85

 Regulatory

0.82

 Policy

0.82

 Compar

0.82

 Computing

0.82

 Intellectual

0.81

 Responsibility

0.81

Activations Density 0.057%

legal or organizational entities and acronyms, especially those related to economics

phrases containing the word "for" related to various organizations or institutes

No Comments

No Known Activations