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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 14359
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    Explanations

    dates and time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific time references

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     toget
    -0.70
     withd
    -0.68
     administr
    -0.68
     incompetent
    -0.67
     interacting
    -0.66
     fundament
    -0.66
     welf
    -0.66
    ioch
    -0.64
     trusting
    -0.64
     optimizing
    -0.63
    POSITIVE LOGITS
     marks
    1.03
     marked
    0.86
     coincides
    0.85
     dawn
    0.81
     deadline
    0.79
     looms
    0.77
     UPDATE
    0.76
     begins
    0.75
     edition
    0.74
     Update
    0.74
    Activations Density 0.205%

    No Known Activations