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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. 10-RES-JB
    6. 13398
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    Explanations

    modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    various modes of transportation or references to vehicles

    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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    No Comments

    Negative Logits
    ĸļ
    -0.97
    tone
    -0.84
     Shame
    -0.78
    é¾įå¥ij士
    -0.77
     Ambro
    -0.76
     Revelations
    -0.76
    ophobia
    -0.76
    ieties
    -0.75
     Angelo
    -0.74
    ional
    -0.74
    POSITIVE LOGITS
     trucks
    1.65
     motorcycles
    1.65
     bicycles
    1.58
     helicopters
    1.48
     airplanes
    1.47
     buses
    1.45
     bikes
    1.45
     vans
    1.44
     automobiles
    1.43
     pedestrians
    1.43
    Activations Density 0.197%

    No Known Activations