INDEX

Explanations

words related to specific proper nouns, particularly names of individuals

oai_token-act-pair · gpt-3.5-turbo

words related to medical issues or conditions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

ãĤ´ãĥ³

-0.71

 responsiveness

-0.67

 neutrality

-0.65

 pains

-0.61

Jew

-0.60

 srfAttach

-0.59

 offense

-0.59

SHIP

-0.58

IF

-0.57

 hire

-0.56

POSITIVE LOGITS

pora

1.09

asio

0.87

andowski

0.83

ritical

0.83

liction

0.79

nih

0.78

esan

0.77

onds

0.76

rencies

0.76

uctive

0.75

Activations Density 0.071%

words related to specific proper nouns, particularly names of individuals

words related to medical issues or conditions

No Comments

No Known Activations