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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. 1-RES-JB
    11. 16410
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    Explanations

    references to the year 2018

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2018

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    warts
    -0.88
    arist
    -0.81
    ype
    -0.80
    onal
    -0.78
    riad
    -0.77
    adata
    -0.73
    wo
    -0.72
    Dat
    -0.71
    wal
    -0.71
    ivities
    -0.68
    POSITIVE LOGITS
    å¹
    0.98
     Remastered
    0.84
     2018
    0.80
     resil
    0.80
    mAh
    0.70
     2019
    0.69
     ESV
    0.68
     onwards
    0.67
     2020
    0.66
    2019
    0.66
    Activations Density 0.006%

    No Known Activations