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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. 4-RES-JB
    11. 16772
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    Explanations

    words related to financial institutions, particularly banks

    oai_token-act-pair · gpt-3.5-turbo

    references to banks and their activities

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

    No Comments

    Negative Logits
     Fren
    -0.66
     Hawth
    -0.64
     Horton
    -0.64
    FLAG
    -0.64
    Args
    -0.63
    izons
    -0.63
    Timer
    -0.61
     Loving
    -0.61
     Gaul
    -0.61
    ROR
    -0.61
    POSITIVE LOGITS
     banks
    0.99
    banks
    0.92
     banking
    0.88
     bankers
    0.87
    ystem
    0.84
    creen
    0.84
    rolled
    0.83
     lending
    0.82
     bailout
    0.81
     lenders
    0.80
    Activations Density 0.019%

    No Known Activations