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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. 5-RES-JB
    6. 22749
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    Explanations

    terms related to brokerage and financial activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial intermediaries, specifically brokers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Extrem
    -0.81
     Liberties
    -0.72
     Pesh
    -0.67
    atche
    -0.64
     Ancients
    -0.61
    teness
    -0.61
    MN
    -0.60
    BAT
    -0.60
    liam
    -0.59
    chy
    -0.59
    POSITIVE LOGITS
     broker
    1.08
     brokers
    0.92
     brokerage
    0.89
     trader
    0.82
    eers
    0.80
    rador
    0.76
    selling
    0.76
    eder
    0.75
    nect
    0.74
     trading
    0.74
    Activations Density 0.013%

    No Known Activations