Given a GPT-2 neuron, generate an explanation of its behavior by showing relevant text sequences and activations to GPT-4. Model-generated explanation: references to movies, characters, and entertainment. Step 2: Simulate using GPT-4 Simulate what a neuron that fired for the explanation would...
(B) Sequences of four consecutive actions and rewards were used to train an LSTM model to predict the fifth action taken by the participant. Full size image Exploratory DNN model: LSTM We used Long Short Term Memory (LSTM) as an exploratory, high capacity, black-box model to predict ...
instancesMutableSequence[google.protobuf.struct_pb2.Value] Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML...
The presented method proposes an efficient approach to replace complex activity-scheduling modules in activity-based models. First, the paper describes a multiple correspondence analysis technique to identify the correlation between activity sequence patterns and socio-demographic attributes. Secondly, a ...
Comparing to a generic two-state model, our models can distinguish class I from class II MHCs and correlate their structural parameters with the TCR/pMHC’s potency to trigger T cell activation. The models are tested by mutagenesis using an MHC and a TCR mutated to alter conformation changes....
V. Sequence to sequence learning with neural networks. In Ad- vances in neural information processing systems, 2014. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I. Attention is all you need. In Advances in neural...
Once we find the answer to this question, we'll just need to reverse this sequence and the cube will be solved. This answer, however, is not trivial to find. Read the rest of this entry » A good first word for Wordle with 9 comments ...
The low functional richness and unique functional composition of Australia's mammals can help explain the high prevalence and devastating con- sequences of invasive mammals, which may have established by taking advantage of available functional trait space left unoccupied by native species40. Bat ...
Users sometimes get confused by the warning from transformers that some weights are uninitialized and need to be trained when they use models for classification. A recent example is #2367. Even tho...
We trained rats to perform a stereotyped sequence of self-initiated actions and recorded neural ensemble activity in secondary motor cortex (M2), which is known to reflect trial-by-trial action-timing fluctuations. Using hidden Markov models, we established a dictionary between activity patterns and...