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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12156
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    oai_token-act-pair · gpt-3.5-turbo

    references to freelance writers and their affiliations

    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
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    Negative Logits
    aceae
    -0.73
     deductions
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    ?]
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     deduction
    -0.62
    amen
    -0.62
    externalActionCode
    -0.61
    soDeliveryDate
    -0.60
     cort
    -0.59
    iments
    -0.59
    hem
    -0.59
    POSITIVE LOGITS
     Journalism
    0.94
     freelance
    0.89
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    0.80
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    0.79
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    0.76
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    0.76
    restling
    0.74
    Activations Density 0.189%

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