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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. 3-RES-JB
    11. 17030
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    INDEX
    Explanations

    phrases related to financial expenses

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of expenses

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    unin
    -0.85
    IPS
    -0.70
    olithic
    -0.68
     Schne
    -0.66
    gement
    -0.64
     Morse
    -0.64
    Cola
    -0.63
    vironment
    -0.63
    ocent
    -0.63
    ezvous
    -0.62
    POSITIVE LOGITS
     incurred
    1.37
     expenses
    1.18
     reimburse
    0.94
    itures
    0.90
     expenditures
    0.90
     reimb
    0.89
     expense
    0.87
     reimbursement
    0.87
     costs
    0.84
     expenditure
    0.84
    Activations Density 0.014%

    No Known Activations