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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. 5387
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    Explanations

    specific dates in the format month, day, year

    oai_token-act-pair · gpt-3.5-turbo

    specific years and dates mentioned within the text

    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
    robat
    -0.62
    offs
    -0.55
     smugglers
    -0.54
    ãĤ§
    -0.52
     toast
    -0.51
    iaries
    -0.51
     Lomb
    -0.50
    redit
    -0.50
     conductor
    -0.50
    lder
    -0.50
    POSITIVE LOGITS
    ,[
    0.74
    displayText
    0.70
    .,
    0.66
     RELEASE
    0.65
    .[
    0.64
     GMT
    0.64
    ,
    0.63
    \.
    0.63
    lez
    0.61
    ,.
    0.60
    Activations Density 0.095%

    No Known Activations