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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. 0-RES-JB
    11. 6237
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    Explanations

    phrases related to income levels and financial aspects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to income and economic status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mock
    -0.81
     snap
    -0.79
     Merlin
    -0.73
     wild
    -0.71
     Camel
    -0.71
     marsh
    -0.71
     Crystal
    -0.71
     mut
    -0.70
     sh
    -0.70
     b
    -0.69
    POSITIVE LOGITS
    income
    3.56
    wage
    1.90
     income
    1.87
     Income
    1.77
     incomes
    1.55
    estate
    1.35
    economic
    1.34
    profits
    1.28
    employment
    1.27
    equality
    1.26
    Activations Density 0.012%

    No Known Activations