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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. 0-RES-JB
    11. 2766
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    Explanations

    dates in the format "Month Day."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dates, particularly formatted as "Mar" followed by numeric values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tot
    -0.73
     shovel
    -0.71
     subscript
    -0.71
    ulin
    -0.67
     tongues
    -0.67
     reflex
    -0.65
    icles
    -0.65
     grip
    -0.65
     hypers
    -0.65
     stre
    -0.64
    POSITIVE LOGITS
    Mar
    3.78
     Mar
    2.09
    MAR
    1.92
    Apr
    1.88
    mar
    1.68
    Jun
    1.67
    Feb
    1.62
     MAR
    1.57
    Jul
    1.56
    Jan
    1.53
    Activations Density 0.012%

    No Known Activations