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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. 2-RES-JB
    11. 17702
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    Explanations

    wireless technology-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to wireless technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rite
    -0.83
     Tate
    -0.76
     Yard
    -0.76
    itia
    -0.73
    ablishment
    -0.73
     Hitler
    -0.72
    auder
    -0.72
     Amend
    -0.71
    ches
    -0.69
    orian
    -0.69
    POSITIVE LOGITS
     wireless
    0.99
     connectivity
    0.92
     broadband
    0.91
     networking
    0.91
     headsets
    0.86
     imaging
    0.86
     insulation
    0.84
     networks
    0.83
     microphones
    0.83
     chipset
    0.82
    Activations Density 0.008%

    No Known Activations