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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. 10-RES-JB
    11. 1075
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    Explanations

    phrases related to financial transactions and consumer protection

    oai_token-act-pair · gpt-3.5-turbo

    phrases concerning consumer burdens and protections in economic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    speak
    -0.90
    stan
    -0.81
    philis
    -0.77
    clair
    -0.75
    Hillary
    -0.73
    fried
    -0.71
    ugen
    -0.71
     largeDownload
    -0.71
    oland
    -0.70
    NAT
    -0.70
    POSITIVE LOGITS
     consumers
    1.67
     customers
    1.46
     shoppers
    1.32
     buyers
    1.31
     users
    1.29
     borrowers
    1.23
     clients
    1.22
     taxpayers
    1.21
     newcomers
    1.19
     motorists
    1.17
    Activations Density 0.404%

    No Known Activations