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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. 6-RES-JB
    11. 452
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to various industries and sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    reve
    -0.67
    erella
    -0.66
    ived
    -0.66
    Minecraft
    -0.65
    yip
    -0.65
    ora
    -0.63
     ..........
    -0.63
     Rept
    -0.62
    dated
    -0.62
    uate
    -0.61
    POSITIVE LOGITS
     portfolios
    0.87
     workforce
    0.78
     suppliers
    0.76
     portfolio
    0.76
     exports
    0.70
     systems
    0.70
     installations
    0.69
     holdings
    0.68
     movements
    0.68
     substitutes
    0.68
    Activations Density 0.466%

    No Known Activations