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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. 22734
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    Explanations

    references to wages and benefits in an economic or societal context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to wages and benefits

    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
    £ı
    -0.87
    heastern
    -0.85
    ulhu
    -0.85
    outheastern
    -0.77
    auga
    -0.75
    ciating
    -0.71
    aurus
    -0.69
    Tok
    -0.68
    anooga
    -0.68
    rontal
    -0.67
    POSITIVE LOGITS
     taxes
    1.19
     royalties
    1.17
     cents
    1.13
     expenses
    1.10
     fees
    1.09
     entitle
    1.07
     allowances
    1.01
     Taxes
    1.01
     pensions
    0.99
     revenues
    0.97
    Activations Density 0.272%

    No Known Activations