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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. 11-RES-JB
    11. 22232
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    Explanations

    occurrences of years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Beh
    -0.68
     guiActiveUn
    -0.64
     externalToEVAOnly
    -0.64
    NetMessage
    -0.61
     advis
    -0.61
     RELE
    -0.60
     downed
    -0.59
     behavi
    -0.59
    ĨĴ
    -0.58
     contag
    -0.58
    POSITIVE LOGITS
    book
    1.35
    nings
    1.28
    ning
    1.27
    long
    1.18
    books
    1.16
    lings
    1.10
    ling
    0.95
     2025
    0.94
     2020
    0.92
     2000
    0.91
    Activations Density 0.101%

    No Known Activations