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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 18927
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    phrases related to technology and convenience

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and user-friendly features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    66666666
    -0.78
    00000000
    -0.75
    çĶŁ
    -0.74
    worn
    -0.74
    atan
    -0.73
    hillary
    -0.69
     Tyrann
    -0.68
    ndra
    -0.68
    reth
    -0.68
    åħī
    -0.68
    POSITIVE LOGITS
     browsing
    1.49
     downloading
    1.44
     authentication
    1.37
     communication
    1.36
     uploading
    1.36
     synchronization
    1.36
     backups
    1.34
     downloads
    1.33
     retrieval
    1.33
     connectivity
    1.31
    Activations Density 0.280%

    No Known Activations