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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. 4-RES-JB
    11. 19513
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    Explanations

    mentions of legal and administrative procedures or documents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and regulatory matters

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

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
    ouver
    -0.66
    urat
    -0.63
    abal
    -0.61
    ovy
    -0.61
    ovie
    -0.60
    rome
    -0.60
    heastern
    -0.59
    aeda
    -0.59
    ankind
    -0.59
    POSITIVE LOGITS
     stip
    0.67
     Mandatory
    0.66
     §§
    0.63
     membership
    0.61
     Discount
    0.61
     confidentiality
    0.60
     fee
    0.60
     Fees
    0.59
     entit
    0.59
     reimbursement
    0.59
    Activations Density 1.761%

    No Known Activations