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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. 7-RES-JB
    6. 15834
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    Explanations

    mentions of virtual reality

    oai_token-act-pair · gpt-3.5-turbo

    references to virtual reality technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rez
    -0.77
    umm
    -0.75
    redo
    -0.75
    neg
    -0.75
    nat
    -0.74
    iery
    -0.73
     Cly
    -0.73
    itud
    -0.73
    agall
    -0.70
    iless
    -0.69
    POSITIVE LOGITS
     headsets
    1.17
     headset
    1.15
     goggles
    1.06
     glasses
    0.84
     hardware
    0.84
     applications
    0.79
     holog
    0.77
     devices
    0.76
     device
    0.75
     environments
    0.75
    Activations Density 0.036%

    No Known Activations