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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. 13278
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    Explanations

    information related to editing Wikipedia pages and improving grammar

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Wikipedia and user engagement with it

    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
    ufact
    -0.90
    amsung
    -0.89
    dayName
    -0.87
    cig
    -0.82
     fragrance
    -0.80
    charg
    -0.78
    etooth
    -0.77
     charger
    -0.74
     Receiver
    -0.74
    bell
    -0.74
    POSITIVE LOGITS
     Wik
    2.02
     Wikipedia
    2.00
     encyclopedia
    1.94
    Wikipedia
    1.89
     wik
    1.86
     Wikimedia
    1.86
     wiki
    1.83
    Wik
    1.74
    Wiki
    1.74
    wiki
    1.71
    Activations Density 0.143%

    No Known Activations