INDEX

Explanations

specific numbering and labeling within a text

oai_token-act-pair · gpt-3.5-turbo

terms related to counting, labeling, or categorization

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

 dism

-0.69

 Ukrain

-0.67

 Tunnel

-0.65

 Horizon

-0.64

anse

-0.63

 Dough

-0.63

olver

-0.63

 Golem

-0.61

 Palestin

-0.61

 Denis

-0.61

POSITIVE LOGITS

otle

0.79

emet

0.79

rical

0.78

cone

0.77

achi

0.76

ãĥ£

0.75

pta

0.73

rocal

0.73

ļé

0.73

iod

0.71

Activations Density 0.052%

specific numbering and labeling within a text

terms related to counting, labeling, or categorization

No Comments

No Known Activations