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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. 24123
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    elements related to timekeeping and calendar systems

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ilage
    -0.94
    reau
    -0.84
    entle
    -0.77
    isner
    -0.77
    gel
    -0.77
     Flavoring
    -0.77
    Priv
    -0.76
    workshop
    -0.75
    athing
    -0.72
    pkg
    -0.72
    POSITIVE LOGITS
     clocks
    1.39
     calendar
    1.33
     Calendar
    1.29
     clock
    1.26
     epoch
    1.24
     UTC
    1.22
     Greenwich
    1.22
     calendars
    1.21
    UTC
    1.15
     sunrise
    1.15
    Activations Density 0.540%

    No Known Activations