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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 21345
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    Explanations

    terms related to financial earnings and reports

    oai_token-act-pair · gpt-3.5-turbo

    financial metrics related to company performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ultras
    -0.88
    ateurs
    -0.88
     controvers
    -0.78
     Gaia
    -0.77
     migrants
    -0.77
    toggle
    -0.77
     gul
    -0.77
     bans
    -0.74
     banned
    -0.73
    otrop
    -0.72
    POSITIVE LOGITS
     Company
    1.07
     shareholders
    1.02
    Company
    0.99
     dividend
    0.98
     earnings
    0.97
     Securities
    0.96
     Investor
    0.94
     valuation
    0.93
     Compensation
    0.92
     shareholder
    0.91
    Activations Density 0.456%

    No Known Activations