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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. 4-RES-JB
    11. 13641
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    Explanations

    dates represented in specific formats

    oai_token-act-pair · gpt-3.5-turbo

    specific dates mentioned in the text

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

    No Comments

    Negative Logits
    opic
    -0.85
     predec
    -0.70
     neighb
    -0.68
    essor
    -0.66
     ancest
    -0.61
     colle
    -0.60
     append
    -0.60
     discont
    -0.60
    Continue
    -0.60
     attachments
    -0.60
    POSITIVE LOGITS
     2018
    0.85
    ruary
    0.84
    edin
    0.82
     07
    0.78
     2017
    0.76
     âĶľ
    0.76
    imester
    0.75
     2016
    0.74
     doi
    0.73
     02
    0.73
    Activations Density 0.045%

    No Known Activations