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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. 6021
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial expenditures

    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
    ezvous
    -0.82
    unin
    -0.80
    gewater
    -0.71
    redd
    -0.68
    kus
    -0.67
    ifier
    -0.66
    enson
    -0.64
    SW
    -0.64
     GOODMAN
    -0.64
    ĨĴ
    -0.63
    POSITIVE LOGITS
     incurred
    1.45
     expenses
    1.10
     reimburse
    1.09
     reimbursement
    1.02
     expense
    1.00
     reimb
    0.96
     expenditure
    0.91
     ratios
    0.90
     expenditures
    0.87
    itures
    0.82
    Activations Density 0.058%

    No Known Activations