INDEX

Explanations

references to specific names or terms such as "Shirai", "Zanzi", "Ranger", "Enix", and "Warden."

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of characters, locations, and entities related to a narrative context

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

MpServer

-0.96

ertodd

-0.88

onte

-0.74

 Princ

-0.73

grade

-0.73

ensions

-0.72

nep

-0.68

ourse

-0.68

Ã¶n

-0.67

onica

-0.67

POSITIVE LOGITS

Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯Â¯

0.90

ning

0.87

ned

0.84

bird

0.79

bolt

0.79

||||

0.77

DS

0.73

 Shir

0.73

voy

0.72

cil

0.69

Activations Density 0.027%

references to specific names or terms such as "Shirai", "Zanzi", "Ranger", "Enix", and "Warden."

proper nouns, particularly names of characters, locations, and entities related to a narrative context

No Comments

No Known Activations