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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. 8-RES-JB
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    Explanations

    mentions of specific technical hardware components related to computer processors

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications of processors

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    pees
    -0.75
    pee
    -0.74
     Shelter
    -0.73
     Territories
    -0.73
     Orioles
    -0.68
     Narc
    -0.66
     Faust
    -0.65
    reek
    -0.65
     Underworld
    -0.65
    icho
    -0.65
    POSITIVE LOGITS
     CPUs
    1.01
     powering
    0.94
     cores
    0.87
     Mali
    0.87
     processors
    0.86
    processor
    0.85
     processor
    0.84
    CPU
    0.83
    AMD
    0.83
    intel
    0.82
    Activations Density 0.052%

    No Known Activations