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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. 16135
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    Explanations

    specific days or years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and times

    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
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    No Comments

    Negative Logits
    pires
    -0.66
    nect
    -0.59
    ovsky
    -0.59
     Tro
    -0.57
    cro
    -0.57
    ntil
    -0.57
    jri
    -0.57
     Potential
    -0.57
     tel
    -0.56
     Tap
    -0.55
    POSITIVE LOGITS
     onwards
    0.81
     alone
    0.72
     Newsweek
    0.71
    reed
    0.67
     onward
    0.66
     period
    0.66
    ,[
    0.65
     Giuliani
    0.64
    Footnote
    0.64
    .[
    0.64
    Activations Density 0.087%

    No Known Activations