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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. 1-RES-JB
    6. 17487
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    INDEX
    Explanations

    words related to financial matters, particularly income and taxes

    oai_token-act-pair · gpt-3.5-turbo

    references to income taxes and related financial terms

    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
    aptic
    -0.79
    ovie
    -0.76
    alls
    -0.71
    士
    -0.69
    pell
    -0.69
    POSE
    -0.65
    OVA
    -0.65
    âĸ
    -0.65
    OCK
    -0.63
    å§«
    -0.63
    POSITIVE LOGITS
     income
    1.32
     earners
    1.30
     Income
    1.25
     incomes
    1.11
     inequality
    1.02
     earnings
    1.01
     taxes
    0.95
     unemploy
    0.93
     Taxes
    0.89
     redistribution
    0.87
    Activations Density 0.015%

    No Known Activations