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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. 6-RES-JB
    11. 9791
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    Explanations

    references to 3D modeling, scanning, printing, rendering, and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to 3D models and related 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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    Negative Logits
     Bulg
    -0.76
    recomm
    -0.72
    76561
    -0.71
    pid
    -0.70
     Weeks
    -0.69
    raltar
    -0.68
    catentry
    -0.67
    kers
    -0.67
    zai
    -0.67
    Sund
    -0.66
    POSITIVE LOGITS
    imensional
    1.41
     printing
    0.86
     modeling
    0.80
     printer
    0.80
    printed
    0.79
     Realms
    0.79
     Printing
    0.76
     printers
    0.76
     Printed
    0.76
    Mark
    0.76
    Activations Density 0.038%

    No Known Activations