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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. 6-RES-JB
    11. 23708
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    Explanations

    references to financial earnings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial earnings and profits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jess
    -0.85
     Berks
    -0.75
    ãĥ¯ãĥ³
    -0.73
    enegger
    -0.73
    assis
    -0.69
    xxxx
    -0.68
    ohydrate
    -0.68
    naires
    -0.67
    ++++++++++++++++
    -0.66
     Kali
    -0.65
    POSITIVE LOGITS
     earnings
    1.06
     earners
    0.91
     payable
    0.81
    rates
    0.78
     earned
    0.77
     dividends
    0.77
     Skydragon
    0.76
     receipts
    0.75
     income
    0.73
     dividend
    0.72
    Activations Density 0.029%

    No Known Activations