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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 12859
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    Explanations

    phrases related to historical significance or impact

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of legacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ramid
    -0.86
    owler
    -0.78
    tics
    -0.78
    acus
    -0.76
    bians
    -0.75
    anooga
    -0.74
    lee
    -0.73
    vati
    -0.73
    overe
    -0.73
    ooter
    -0.71
    POSITIVE LOGITS
     legacy
    1.06
     baggage
    0.86
    stones
    0.72
     memories
    0.72
     ingrained
    0.72
     generation
    0.71
     tarn
    0.70
     Legacy
    0.70
     bearer
    0.68
     intact
    0.68
    Activations Density 0.051%

    No Known Activations