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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. 10-RES-JB
    11. 8502
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    Explanations

    dates or months mentioned in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    references to specific months and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     textual
    -0.64
     cumbers
    -0.61
     trusts
    -0.61
    esse
    -0.60
     hemor
    -0.59
     continuity
    -0.58
    hist
    -0.58
     reuse
    -0.56
    eries
    -0.55
     Strongh
    -0.55
    POSITIVE LOGITS
    女
    0.78
     alone
    0.70
    when
    0.70
     when
    0.69
    lished
    0.69
    é¾įåĸļ士
    0.67
     Giul
    0.66
    uca
    0.62
     Reason
    0.61
     Oops
    0.61
    Activations Density 0.118%

    No Known Activations