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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. 3-RES-JB
    11. 24406
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    INDEX
    Explanations

    technical specifications and models of processors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    information related to computer processors and cores

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Petr
    -0.78
    ãĤ©
    -0.75
     Narc
    -0.74
    awaru
    -0.74
    vim
    -0.72
     Manny
    -0.70
    ertain
    -0.68
    glers
    -0.68
    ouf
    -0.68
     Cecil
    -0.68
    POSITIVE LOGITS
     CPUs
    1.33
     GPUs
    1.27
     processors
    1.24
     processor
    1.14
     cores
    1.09
     architectures
    1.08
     GDDR
    1.03
     GPU
    1.00
     chipset
    0.96
     Nvidia
    0.96
    Activations Density 0.061%

    No Known Activations