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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. 9-RES-JB
    11. 20102
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    Explanations

    keywords related to financial expenses and reimbursements

    oai_token-act-pair · gpt-3.5-turbo

    references to financial costs and expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agall
    -0.78
    unin
    -0.77
    ãĥ¤
    -0.75
    leck
    -0.73
    uni
    -0.72
    ocent
    -0.71
    ITNESS
    -0.70
    vironment
    -0.70
    ierre
    -0.68
    atorium
    -0.68
    POSITIVE LOGITS
     incurred
    1.74
     levied
    1.12
     associated
    1.10
    cale
    1.07
     imposed
    1.05
     reimb
    1.05
     payable
    1.04
    heet
    1.00
     incur
    1.00
     borne
    0.99
    Activations Density 0.061%

    No Known Activations