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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. 3-RES-JB
    11. 4747
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    keywords related to Unix operating systems and programming languages such as Unix, DOS, FreeBSD, and Lisp

    oai_token-act-pair · gpt-3.5-turbo

    references to operating systems and programming languages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idas
    -0.81
    onies
    -0.77
    detail
    -0.77
    taboola
    -0.76
    zh
    -0.75
    rum
    -0.74
    quez
    -0.73
    horn
    -0.72
    potion
    -0.72
    indu
    -0.70
    POSITIVE LOGITS
    BSD
    0.93
     Lisp
    0.86
     Unix
    0.82
     GNU
    0.74
    OLOGY
    0.73
     Explorer
    0.71
     DOS
    0.70
     debugger
    0.70
     emulator
    0.69
     grep
    0.69
    Activations Density 0.020%

    No Known Activations