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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. 9-RES-JB
    11. 10111
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    Explanations

    references to paying attention or monetary transactions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "pay" and related concepts of payment or attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ierre
    -0.65
    swick
    -0.65
    ------
    -0.62
    è¦ļéĨĴ
    -0.60
    ãĤ¬
    -0.58
     projecting
    -0.58
    ;;;;;;;;;;;;
    -0.57
    ===
    -0.56
    ²¾
    -0.56
    OPLE
    -0.56
    POSITIVE LOGITS
     attention
    1.23
     homage
    1.17
     heed
    1.14
     tribute
    1.14
     dearly
    1.00
     dividends
    0.99
     dues
    0.97
     respects
    0.95
     Attention
    0.95
     lip
    0.89
    Activations Density 0.064%

    No Known Activations