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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. 1658
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    Explanations

    words related to financial transactions or monetary compensation

    oai_token-act-pair · gpt-3.5-turbo

    references to payment or remuneration

    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
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    Negative Logits
    ierre
    -1.03
    _>
    -0.90
    oys
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    ively
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    bum
    -0.76
    DEP
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     Bend
    -0.70
    ivity
    -0.70
    ember
    -0.68
    ugu
    -0.68
    POSITIVE LOGITS
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     earners
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    0.83
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     Paid
    0.82
     payroll
    0.81
     dividends
    0.79
    Activations Density 0.019%

    No Known Activations