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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. 12-RES-JB
    11. 4341
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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    attributes related to functionality and user experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.96
    EStream
    -0.84
     Chest
    -0.73
    wei
    -0.72
    perial
    -0.70
     Thur
    -0.69
    vae
    -0.69
    ð
    -0.68
    FactoryReloaded
    -0.67
    anamo
    -0.66
    POSITIVE LOGITS
     hassle
    1.27
     convenient
    1.25
     affordable
    1.21
     enjoyable
    1.20
     intuitive
    1.19
     inexpensive
    1.14
     efficient
    1.14
     economical
    1.14
     easy
    1.11
     scalable
    1.11
    Activations Density 0.197%

    No Known Activations