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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. 0-RES-JB
    11. 20216
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    Explanations

    Branding related to the Haskell programming language and associated tools or concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of programming languages, specifically Haskell, Perl, and Lisp

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    piration
    -0.74
    bum
    -0.73
    rad
    -0.71
    TAIN
    -0.71
     Baron
    -0.70
    rup
    -0.69
    ynasty
    -0.69
     bru
    -0.69
    aer
    -0.67
    roy
    -0.66
    POSITIVE LOGITS
     Haskell
    2.97
     Clojure
    2.79
     Perl
    2.58
     Lisp
    2.51
     Scala
    2.47
     Emacs
    2.41
     GHC
    2.17
     perl
    1.97
     Lua
    1.97
     Vim
    1.90
    Activations Density 0.045%

    No Known Activations