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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. 13531
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    Explanations

    words or acronyms related to a specific topic or theme, potentially related to a specific product or franchise

    oai_token-act-pair · gpt-3.5-turbo

    references to the "MK" franchise and its various iterations

    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
    eston
    -0.75
    Ç
    -0.74
     glaciers
    -0.74
     Rivers
    -0.73
     rivers
    -0.70
     winds
    -0.70
     Vale
    -0.68
     Crawford
    -0.67
    igrants
    -0.65
    River
    -0.64
    POSITIVE LOGITS
     MK
    4.18
    MK
    3.36
     Mk
    1.85
    mk
    1.57
     mk
    1.46
     MJ
    1.45
     HK
    1.41
    MJ
    1.33
     NK
    1.24
     BDS
    1.23
    Activations Density 0.027%

    No Known Activations