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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. 9-RES-JB
    11. 23246
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    Explanations

    dates expressed as days followed by the corresponding ordinal numbers

    oai_token-act-pair · gpt-3.5-turbo

    specific release dates and related timeframes for content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     grop
    -0.71
     deteriorated
    -0.69
     degrading
    -0.69
     constitu
    -0.69
     risked
    -0.68
     flared
    -0.67
     intercepted
    -0.67
    ¬¼
    -0.66
     chimpan
    -0.65
     appell
    -0.64
    POSITIVE LOGITS
     2019
    1.20
     2018
    1.14
    2018
    1.04
    2019
    1.00
     2017
    0.98
    2020
    0.97
    2017
    0.94
     2020
    0.91
     2021
    0.90
     tomorrow
    0.85
    Activations Density 0.132%

    No Known Activations