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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. 9-RES-JB
    11. 5058
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    terday
    -0.86
     toget
    -0.68
    yond
    -0.65
    enegger
    -0.64
     withd
    -0.62
    theless
    -0.60
     disg
    -0.60
    ilton
    -0.59
     destro
    -0.59
    innon
    -0.59
    POSITIVE LOGITS
     Description
    1.14
     Finder
    1.04
     Summary
    1.04
     Info
    1.02
     Contents
    1.01
     Requirements
    1.00
     Information
    1.00
     Rating
    0.99
     Details
    0.98
     Overview
    0.97
    Activations Density 0.415%

    No Known Activations