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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. 9-RES-JB
    6. 14668
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    INDEX
    Explanations

    keywords related to financial and economic topics

    oai_token-act-pair · gpt-3.5-turbo

    causal relationships and outcomes

    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
    Firstly
    -1.25
     whilst
    -1.17
     Whilst
    -1.05
     organise
    -0.99
     util
    -0.97
     Firstly
    -0.97
     realise
    -0.96
     recognise
    -0.92
     favourites
    -0.89
     colours
    -0.88
    POSITIVE LOGITS
    vernment
    1.04
     nonprofits
    0.89
     DOE
    0.88
     Recession
    0.83
     nonpartisan
    0.82
     DeVos
    0.81
     bipartisan
    0.80
     Obama
    0.80
     NPR
    0.80
     federal
    0.79
    Activations Density 1.494%

    No Known Activations