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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. 4-RES-JB
    11. 936
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    Explanations

    dates written in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dates, specifically those in June

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

    No Comments

    Negative Logits
    ngth
    -0.98
    Interstitial
    -0.79
     Metatron
    -0.73
     Trials
    -0.69
     Panic
    -0.68
     Incarn
    -0.64
    Ö¼
    -0.64
     Rift
    -0.63
    toe
    -0.63
    trial
    -0.62
    POSITIVE LOGITS
    iper
    1.20
    iors
    1.17
    eteenth
    1.16
    cture
    1.14
    ipers
    1.01
    ctions
    1.00
    pei
    0.94
    jun
    0.90
     Jun
    0.87
    ior
    0.87
    Activations Density 0.005%

    No Known Activations