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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. 7-RES-JB
    11. 19186
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    Explanations

    phrases related to frequency and time intervals

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, particularly days and weeks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    assies
    -0.70
    reth
    -0.66
    ensions
    -0.64
    hod
    -0.63
    terness
    -0.61
    pty
    -0.61
     HG
    -0.61
     Osw
    -0.60
     Kardashian
    -0.60
    bourg
    -0.59
    POSITIVE LOGITS
     (~
    0.74
     thereafter
    0.71
     throughout
    0.70
     supplement
    0.69
    ,[
    0.66
    lov
    0.65
    à¹
    0.64
    [/
    0.64
    ilo
    0.62
     smoker
    0.61
    Activations Density 0.048%

    No Known Activations