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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. 4-RES-JB
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    references to the programming language Haskell

    oai_token-act-pair · gpt-3.5-turbo

    references to the Haskell programming language and related tools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ffen
    -0.75
    psey
    -0.73
    berman
    -0.72
    rahim
    -0.70
    utics
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    zes
    -0.69
    illard
    -0.69
     Cly
    -0.69
    ividual
    -0.68
    anmar
    -0.68
    POSITIVE LOGITS
     Haskell
    0.94
    kell
    0.88
     GHC
    0.71
    querade
    0.68
    ollen
    0.68
    istani
    0.67
    Rust
    0.65
    renheit
    0.64
    Haunted
    0.64
     gh
    0.64
    Activations Density 0.020%

    No Known Activations