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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. 6-RES-JB
    11. 9640
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    Explanations

    dates in the format of month, day, year

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     deserted
    -0.68
    chwitz
    -0.61
    ylum
    -0.59
     extinct
    -0.58
    Īè
    -0.57
     bom
    -0.57
    igham
    -0.57
    imated
    -0.56
     robber
    -0.56
    illas
    -0.56
    POSITIVE LOGITS
    stice
    0.76
    th
    0.70
    NPR
    0.67
     Directions
    0.65
     UPDATE
    0.64
     PDT
    0.64
     partName
    0.64
     Deadline
    0.63
     Ramsey
    0.63
     UTC
    0.61
    Activations Density 0.077%

    No Known Activations