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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. 2-RES-JB
    11. 7055
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    Explanations

    terms related to income and financial status

    oai_token-act-pair · gpt-3.5-turbo

    references to low-income individuals or families

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aptic
    -0.74
    AMS
    -0.71
     RU
    -0.69
    nee
    -0.69
    nen
    -0.69
    pell
    -0.66
    =-=-=-=-
    -0.65
     pronounced
    -0.64
    bara
    -0.64
    sei
    -0.63
    POSITIVE LOGITS
     earners
    1.29
     Income
    1.01
     income
    0.97
     inequality
    0.95
    income
    0.91
     disparity
    0.81
     incomes
    0.78
     poverty
    0.71
     literacy
    0.70
    overty
    0.70
    Activations Density 0.020%

    No Known Activations