INDEX

Explanations

The neuron appears to be looking for the word "literally," but also weakly activates on other related words like "sources", "every", "Europeans", "outlets", and "came", and the phrases "its" and "and now".

oai_token-act-pair · gemini-2.0-flash

literally

np_max-act · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.0.ln2.hook_normalized

Architecture

jumprelu_transcoder

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 énergé

-0.95

 politiet

-0.94

 Cæsar

-0.94

 nemlig

-0.92

 digitais

-0.85

 sauvages

-0.84

 supérieurs

-0.84

UrlResolution

-0.84

 Theſe

-0.84

 étanche

-0.82

POSITIVE LOGITS

lev

0.63

len

0.63

enne

0.62

orod

0.62

 impac

0.60

nas

0.58

 element

0.57

openSession

0.56

XX

0.55

sled

0.55

Activations Density 1.157%

The neuron appears to be looking for the word "literally," but also weakly activates on other related words like "sources", "every", "Europeans", "outlets", and "came", and the phrases "its" and "and now".

literally

No Comments

No Known Activations

The neuron appears to be looking for the word "literally," but also weakly activates on other related words like "sources", "every", "Europeans", "outlets", and "came", and the phrases "its" and "and now".

literally

No Comments

No Known Activations