Row 59895

Row ID: 59895 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 59895 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm not entirely convinced about the practical utility of these SAE.

Proponents will tell you that you can use these techniques to identify features of interest and then intervene on them to amplify or attenuate the models reliance on them.

But this isn't something new. We've been finding steering vectors to attenuate concepts for a while already. Existing approaches are supervised and much more practical than these SAE.

But even if nothing comes out of it. It's still cool work.

FieldValue
text I'm not entirely convinced about the practical utility of these SAE.  Proponents will tell you that you can use these techniques to identify features of interest and then intervene on them to amplify or attenuate the models reliance on them.  But this isn't something new. We've been finding steering vectors to attenuate concepts for a while already. Existing approaches are supervised and much more practical than these SAE. But even if nothing comes out of it. It's still cool work.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
username_encoded Z0FBQUFBQm5Lak1ZUkhwdURsdHFwYldjM3FMOWNlM0J6dVNhV1lpdVgzY0JCcVI5a2VHN21FYjFxQWlsRUZoNVdZZ2gwVEJVbHNMZXc5Z21zZFVLRTQ4VDRWMlFBRHBJZGc9PQ==
url_encoded Z0FBQUFBQm5Lak9veHZDNkR1WlpwN0Q4QTZEWHhKa3A2QmM0TXd1QTByRWhicVAzWlZ2bFV1NS1IaHdSMEpNLWt1NFBXVmRQVkhYb1RLc0VtTUs5bWp5M3NQQ1FfZXJlUkNoVERJRVh3UEs0Qi1HcFBiUEdjNEtZNUpOSXBCSENLR2R1QnJwdWVDUEhKaGpXTXdoQ2o0Wk5nczlkX21rMW1TdkY1S09JUTZmYlQ0VkJpRnQ4TUZGWHRyYWdkVGpLTmdZRkJnQ0ZtaXFOankzNl9JWjVWOEE4cDBNYlRQcW4zZz09

Raw Record

{
  "text": "I'm not entirely convinced about the practical utility of these SAE. \n\n\nProponents will tell you that you can use these techniques to identify features of interest and then intervene on them to amplify or attenuate the models reliance on them. \n\n\nBut this isn't something new. We've been finding steering vectors to attenuate concepts for a while already. Existing approaches are supervised and much more practical than these SAE.\n\n\nBut even if nothing comes out of it. It's still cool work.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1ZUkhwdURsdHFwYldjM3FMOWNlM0J6dVNhV1lpdVgzY0JCcVI5a2VHN21FYjFxQWlsRUZoNVdZZ2gwVEJVbHNMZXc5Z21zZFVLRTQ4VDRWMlFBRHBJZGc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9veHZDNkR1WlpwN0Q4QTZEWHhKa3A2QmM0TXd1QTByRWhicVAzWlZ2bFV1NS1IaHdSMEpNLWt1NFBXVmRQVkhYb1RLc0VtTUs5bWp5M3NQQ1FfZXJlUkNoVERJRVh3UEs0Qi1HcFBiUEdjNEtZNUpOSXBCSENLR2R1QnJwdWVDUEhKaGpXTXdoQ2o0Wk5nczlkX21rMW1TdkY1S09JUTZmYlQ0VkJpRnQ4TUZGWHRyYWdkVGpLTmdZRkJnQ0ZtaXFOankzNl9JWjVWOEE4cDBNYlRQcW4zZz09"
}
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