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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. 11-RES-JB
    11. 20538
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    Explanations

    dates and deadlines mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on" followed by a date

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rors
    -0.68
     encount
    -0.68
     spared
    -0.66
    ror
    -0.66
    ŃĶ
    -0.65
    acan
    -0.65
    inventoryQuantity
    -0.64
    plin
    -0.63
     multiplied
    -0.62
     oun
    -0.61
    POSITIVE LOGITS
     October
    1.29
     September
    1.28
     Sept
    1.27
     July
    1.27
     June
    1.25
     November
    1.24
     August
    1.23
     April
    1.23
     December
    1.23
     January
    1.22
    Activations Density 0.104%

    No Known Activations