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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. 3-RES-JB
    11. 5906
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    Explanations

    references to laws or regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and legal frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.38
     subsequ
    -0.36
    )."
    -0.35
    awaru
    -0.35
    yss
    -0.35
    iety
    -0.34
    Ļ½
    -0.34
     mascul
    -0.34
     stim
    -0.34
    âķIJ
    -0.34
    POSITIVE LOGITS
     Mandatory
    0.39
     fuels
    0.38
    hement
    0.35
     Estimates
    0.35
     taxpayer
    0.34
     ObamaCare
    0.34
     2022
    0.34
    Located
    0.33
    monary
    0.33
     Specifically
    0.33
    Activations Density 3.333%

    No Known Activations