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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 10546
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    Explanations

    phrases related to cloud computing, especially the deployment and management of applications and tasks on public clouds

    oai_token-act-pair · gpt-3.5-turbo

    references to cloud computing and enterprise applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lie
    -0.81
     lewd
    -0.80
     scrolls
    -0.80
    jew
    -0.78
    laugh
    -0.76
     penis
    -0.76
    Girls
    -0.75
    letters
    -0.75
    Muslims
    -0.75
     stabbed
    -0.74
    POSITIVE LOGITS
     VMware
    1.77
     AWS
    1.72
     Docker
    1.68
     Azure
    1.49
     Cloud
    1.41
     VM
    1.40
     docker
    1.36
     CentOS
    1.35
     Deploy
    1.34
     deployments
    1.34
    Activations Density 0.459%

    No Known Activations