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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. 23388
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    Explanations

    technical specifications related to computer hardware like processors, GPUs, and chipsets

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and components of computing hardware

    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
    john
    -0.89
    arians
    -0.85
    jon
    -0.81
    glers
    -0.80
    wright
    -0.79
    itar
    -0.77
    esta
    -0.76
    alach
    -0.76
    inqu
    -0.73
    mie
    -0.73
    POSITIVE LOGITS
     chipset
    1.12
     processors
    1.10
     Processor
    1.09
     DirectX
    1.01
     decoding
    1.01
    Boost
    0.99
     PCIe
    0.93
     codec
    0.91
    VIDIA
    0.90
     GDDR
    0.88
    Activations Density 0.181%

    No Known Activations