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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. 6-RES-JB
    11. 10765
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    Explanations

    words related to computer programming and technology, particularly involving input/output operations and benchmarks

    oai_token-act-pair · gpt-3.5-turbo

    elements related to input/output systems and technical specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sorce
    -0.75
     duel
    -0.72
     obsc
    -0.65
     Pag
    -0.63
     candid
    -0.63
     Fletcher
    -0.62
     Trophy
    -0.62
     Carlton
    -0.62
    inois
    -0.62
     Wasserman
    -0.61
    POSITIVE LOGITS
    acet
    0.98
    CIA
    0.89
    Lt
    0.88
    OP
    0.87
    RH
    0.85
    OPS
    0.83
    usr
    0.83
    CI
    0.82
    oct
    0.81
    OTA
    0.80
    Activations Density 0.017%

    No Known Activations