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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1573
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    Explanations

    terms related to financial assistance or funding for individuals with low income

    oai_token-act-pair · gpt-3.5-turbo

    references to low-income individuals and related socioeconomic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.78
    è¦ļéĨĴ
    -0.75
    SCP
    -0.75
    zeb
    -0.74
    =-=-=-=-
    -0.73
    ãĥīãĥ©
    -0.73
    umm
    -0.71
    AMS
    -0.71
    KEY
    -0.71
    wcsstore
    -0.71
    POSITIVE LOGITS
     earners
    1.46
     households
    0.93
     income
    0.92
     outreach
    0.86
     incomes
    0.83
     backgrounds
    0.83
     mobility
    0.82
     Income
    0.82
    wage
    0.80
     hardship
    0.80
    Activations Density 0.018%

    No Known Activations