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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. 8-RES-JB
    11. 7998
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    words related to data storage and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to data storage systems and capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ulhu
    -1.02
    atown
    -0.85
    inel
    -0.79
    reon
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    unin
    -0.76
    ler
    -0.75
    netflix
    -0.74
    enegger
    -0.74
    kok
    -0.72
    eln
    -0.71
    POSITIVE LOGITS
     storage
    1.00
     capacity
    0.98
     shelves
    0.94
     capacities
    0.93
     Spaces
    0.88
     devices
    0.84
     Devices
    0.84
     depot
    0.83
     space
    0.82
     medium
    0.82
    Activations Density 0.040%

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