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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. 9-RES-JB
    11. 7208
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    INDEX
    Explanations

    words related to income level and financial status

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to low-income individuals and their challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    canon
    -0.85
    ĸļ
    -0.85
    irlf
    -0.83
     Canaver
    -0.82
    emonium
    -0.81
    uzzle
    -0.73
    guide
    -0.70
     Doomsday
    -0.69
     Pengu
    -0.69
    DragonMagazine
    -0.69
    POSITIVE LOGITS
     earners
    1.33
     incomes
    1.27
     income
    1.26
    income
    1.20
     socioeconomic
    1.00
    wealth
    0.98
     disadvantaged
    0.96
    performing
    0.96
     affluent
    0.95
     wealthy
    0.92
    Activations Density 0.177%

    No Known Activations