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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. 10-RES-JB
    11. 5378
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    Explanations

    references to different operating systems, particularly Windows, Linux, and OS X

    oai_token-act-pair · gpt-3.5-turbo

    terms related to operating systems and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.86
    igil
    -0.83
    agher
    -0.73
    rahim
    -0.72
    asket
    -0.72
    iquette
    -0.71
     rescind
    -0.70
     Daryl
    -0.68
     chants
    -0.68
     stunts
    -0.68
    POSITIVE LOGITS
     Linux
    1.75
     linux
    1.64
     Windows
    1.60
     macOS
    1.59
     Unix
    1.54
     FreeBSD
    1.52
    Linux
    1.51
     Ubuntu
    1.51
    Windows
    1.50
    linux
    1.48
    Activations Density 0.293%

    No Known Activations