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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. 13047
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    Explanations

    references to time frequency, particularly related to weekly occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to work schedules and frequency

    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
     Cosponsors
    -0.88
    artisan
    -0.65
     microphones
    -0.63
     bubbles
    -0.61
     whispers
    -0.60
    aceutical
    -0.60
    bet
    -0.59
    enez
    -0.58
    asio
    -0.58
    ione
    -0.58
    POSITIVE LOGITS
     week
    1.74
     month
    1.47
     day
    1.40
    week
    1.39
     fortnight
    1.28
     year
    1.26
    Week
    1.26
     WEEK
    1.26
     weekday
    1.16
     semester
    1.15
    Activations Density 0.067%

    No Known Activations