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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. 1-RES-JB
    11. 9072
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    Explanations

    words related to financial contributions or funding

    oai_token-act-pair · gpt-3.5-turbo

    references to funding

    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
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    No Comments

    Negative Logits
     Pixel
    -0.70
     Lod
    -0.64
    èª
    -0.63
     Ple
    -0.63
     Fiber
    -0.61
    Sil
    -0.61
     Absent
    -0.60
     Enlightenment
    -0.60
     Sty
    -0.59
     indign
    -0.59
    POSITIVE LOGITS
    fund
    1.22
     fund
    1.10
    ament
    0.99
    amental
    0.99
     funds
    0.95
    folios
    0.90
    raising
    0.90
    funded
    0.90
    Fund
    0.88
    aments
    0.86
    Activations Density 0.007%

    No Known Activations