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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. 15298
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    Explanations

    mentions of specific technological components, such as processors

    oai_token-act-pair · gpt-3.5-turbo

    references to processors and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
    reek
    -0.74
     Guan
    -0.71
    shirt
    -0.71
    lict
    -0.70
     Territories
    -0.68
    izons
    -0.68
    ei
    -0.66
    ership
    -0.65
    ges
    -0.64
    ilan
    -0.64
    POSITIVE LOGITS
     processors
    1.02
    processor
    1.00
     processor
    0.87
    avascript
    0.85
     CPUs
    0.81
     optimization
    0.79
    ando
    0.79
     chipset
    0.78
     cartridges
    0.74
     chip
    0.73
    Activations Density 0.010%

    No Known Activations