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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. 301
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    INDEX
    Explanations

    medical procedures or processes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various procedures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bitious
    -0.85
    minster
    -0.79
    gets
    -0.77
    ku
    -0.76
     Flavoring
    -0.73
    hab
    -0.70
    agi
    -0.68
    some
    -0.67
    aez
    -0.67
    inese
    -0.66
    POSITIVE LOGITS
     procedure
    1.02
     procedures
    0.96
     Procedures
    0.79
     Procedure
    0.78
    ional
    0.77
     droid
    0.76
    DragonMagazine
    0.71
     manuals
    0.71
     manual
    0.70
    olicy
    0.70
    Activations Density 0.027%

    No Known Activations