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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. 1-RES-JB
    11. 8871
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    Explanations

    words related to financial expenses

    oai_token-act-pair · gpt-3.5-turbo

    references to financial expenditures

    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
    unin
    -0.70
     Morse
    -0.69
    yrics
    -0.66
     GOODMAN
    -0.63
    ezvous
    -0.62
     Statue
    -0.62
    ptic
    -0.62
    ñ
    -0.61
     Ryder
    -0.60
    gement
    -0.60
    POSITIVE LOGITS
     expenses
    1.34
     incurred
    1.20
    itures
    1.08
     expense
    1.00
     expenditures
    0.92
     costs
    0.87
     reimburse
    0.87
     Costs
    0.83
     expenditure
    0.79
     incur
    0.77
    Activations Density 0.004%

    No Known Activations