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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. 10-RES-JB
    11. 5602
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    Explanations

    words related to frequency or repetition

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measures related to durations or frequencies of occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BSD
    -0.73
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    artisan
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    -0.64
    atz
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     Cosponsors
    -0.62
    ibr
    -0.61
    bane
    -0.60
    moderate
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     embr
    -0.59
    POSITIVE LOGITS
     calendar
    1.19
     365
    1.12
     allotted
    1.12
     lifetime
    1.12
     month
    1.11
     week
    1.09
     span
    1.08
     lifespan
    1.04
     year
    1.02
     duration
    1.01
    Activations Density 0.324%

    No Known Activations