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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. 24282
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    Explanations

    references to the Massachusetts Institute of Technology (MIT)

    oai_token-act-pair · gpt-3.5-turbo

    references to MIT and associated institutions or events

    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
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    Negative Logits
    naire
    -0.82
    order
    -0.81
    ocobo
    -0.79
    ãħĭ
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    loading
    -0.77
    orders
    -0.76
    views
    -0.75
    ppo
    -0.73
    stals
    -0.73
    swing
    -0.72
    POSITIVE LOGITS
     Sloan
    0.89
     MIT
    0.84
    LEY
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    CLA
    0.79
    URE
    0.76
    IG
    0.74
    MIT
    0.73
    RE
    0.72
    ©¶æ
    0.72
    bledon
    0.72
    Activations Density 0.004%

    No Known Activations