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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. 7-RES-JB
    11. 4397
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    terms related to implementation processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to implementation and processes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    enegger
    -0.79
    olulu
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    asm
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     Curry
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    imus
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    uba
    -0.63
    geries
    -0.62
    essor
    -0.61
     Whitman
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    inite
    -0.60
    POSITIVE LOGITS
     process
    1.01
     methods
    0.98
     thereof
    0.94
     procedures
    0.93
     date
    0.86
     techniques
    0.86
     mechanism
    0.85
     processes
    0.84
    eering
    0.82
     procedure
    0.80
    Activations Density 0.261%

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