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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. 6-RES-JB
    6. 91
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    Explanations

    references to Virtual Reality (VR) technology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of virtual reality (VR) technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Byrd
    -0.76
    cake
    -0.75
     Thatcher
    -0.70
    ews
    -0.69
    unct
    -0.68
     uranium
    -0.67
    Synopsis
    -0.67
    20439
    -0.66
    dylib
    -0.66
    hend
    -0.66
    POSITIVE LOGITS
     headset
    1.14
     headsets
    1.10
     goggles
    1.07
    Focus
    1.06
    senal
    0.90
    idge
    0.87
    apore
    0.83
    Studio
    0.78
    AM
    0.77
    borg
    0.76
    Activations Density 0.023%

    No Known Activations