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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. 16600
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    INDEX
    Explanations

    instances of the term "loan" with varying emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to loans and borrowing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    inct
    -0.81
    rics
    -0.75
    ablishment
    -0.69
    oleon
    -0.69
    peror
    -0.68
     Ridley
    -0.67
    oute
    -0.66
    rt
    -0.65
     Flavoring
    -0.65
    resy
    -0.64
    POSITIVE LOGITS
     repayment
    1.38
     repay
    1.28
     borrowers
    1.12
     forgiveness
    1.08
     loans
    1.05
     lender
    1.01
     loan
    1.01
     repaid
    1.00
     lenders
    0.98
     borrower
    0.96
    Activations Density 0.034%

    No Known Activations