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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. 6374
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    Explanations

    phrases related to financial support or assistance for low-income individuals or families

    oai_token-act-pair · gpt-3.5-turbo

    references to low-income individuals and families

    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
    AMS
    -0.71
    aptic
    -0.71
    ²¾
    -0.68
     RU
    -0.65
     Kiss
    -0.64
    nee
    -0.63
    ELS
    -0.62
    pell
    -0.62
    ovie
    -0.61
    KEY
    -0.60
    POSITIVE LOGITS
     earners
    1.11
    income
    1.03
     Income
    1.02
     income
    0.96
     inequality
    0.94
     disparity
    0.81
    lict
    0.77
     unemploy
    0.75
     incomes
    0.75
    equality
    0.72
    Activations Density 0.011%

    No Known Activations