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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. 1-RES-JB
    6. 12377
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    Explanations

    terms related to banking and finance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bankers and financial professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lt
    -0.75
    VID
    -0.74
    Copyright
    -0.73
     Flavoring
    -0.73
    reads
    -0.72
    upon
    -0.72
    Interstitial
    -0.72
    Acknowled
    -0.71
    veh
    -0.68
     Readers
    -0.68
    POSITIVE LOGITS
     bankers
    1.24
     banker
    1.15
     banking
    0.96
     Sachs
    0.90
     trader
    0.85
     sharks
    0.82
     banks
    0.80
    creen
    0.78
    gage
    0.78
    abba
    0.76
    Activations Density 0.006%

    No Known Activations