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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. 9042
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    Explanations

    references to the use or allocation of taxpayer funds

    oai_token-act-pair · gpt-3.5-turbo

    references to taxpayer funding and 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
     Wond
    -0.76
     Vaj
    -0.74
     Pill
    -0.74
     Glob
    -0.73
     Demand
    -0.70
     Signal
    -0.69
     Flavoring
    -0.68
     Sadd
    -0.67
     Philippe
    -0.66
     Tend
    -0.66
    POSITIVE LOGITS
     taxpayer
    1.25
    payers
    1.16
     taxpayers
    1.10
    payer
    0.95
    berus
    0.82
     dollars
    0.81
     subsid
    0.81
    ridor
    0.79
     subsidy
    0.75
     reinvest
    0.72
    Activations Density 0.004%

    No Known Activations