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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. 7-RES-JB
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    Explanations

    Haskell programming-related keywords and terminology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the programming languages Haskell and GHC

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    fman
    -0.85
    oshenko
    -0.81
    unders
    -0.73
    ments
    -0.71
     Roz
    -0.70
    zzo
    -0.69
    ffen
    -0.67
    gy
    -0.66
    é»Ĵ
    -0.66
    nesota
    -0.66
    POSITIVE LOGITS
    olics
    0.89
    idious
    0.80
    TERN
    0.77
    ELF
    0.76
    INESS
    0.76
    abal
    0.74
    kell
    0.73
    UGE
    0.73
    sein
    0.70
    igan
    0.70
    Activations Density 0.091%

    No Known Activations