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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. 12-RES-JB
    11. 2966
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    Explanations

    time-related terms, such as specific durations and deadlines

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to deadlines and timeframes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     acres
    -0.71
    acious
    -0.68
     âĢº
    -0.67
    ennes
    -0.67
    gel
    -0.65
    iva
    -0.62
     digs
    -0.62
     transpl
    -0.62
    aceae
    -0.61
    ilitary
    -0.60
    POSITIVE LOGITS
     UTC
    1.00
    aturday
    0.96
    Friday
    0.91
    UTC
    0.90
    nesday
    0.88
    Thursday
    0.86
     Mondays
    0.86
     date
    0.86
     day
    0.86
    uesday
    0.86
    Activations Density 0.277%

    No Known Activations