INDEX

Explanations

names of specific individuals, potentially with a focus on legal cases or sports

oai_token-act-pair · gpt-3.5-turbo

proper nouns, specifically names of individuals

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.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

 Inqu

-0.79

ERAL

-0.71

aque

-0.71

igators

-0.71

acular

-0.67

blogspot

-0.66

 Reverend

-0.66

arily

-0.65

 Immigration

-0.65

 Gazette

-0.64

POSITIVE LOGITS

 Daniels

1.21

 mustard

0.95

beer

0.89

Beer

0.85

terness

0.84

weed

0.78

 whiskey

0.78

rye

0.78

arse

0.77

Cola

0.76

Activations Density 0.010%

names of specific individuals, potentially with a focus on legal cases or sports

proper nouns, specifically names of individuals

No Comments

No Known Activations