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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. 1-RES-JB
    11. 8628
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    Explanations

    references to formal meetings or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    references to meetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    etheless
    -0.88
     srf
    -0.87
    enfranch
    -0.79
    astrous
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    culus
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    ¥ŀ
    -0.78
    cul
    -0.77
    Ħ¢
    -0.76
    export
    -0.76
    trop
    -0.75
    POSITIVE LOGITS
     meetings
    1.12
     meeting
    0.96
     Meeting
    0.96
     Meet
    0.86
     sessions
    0.80
     session
    0.80
     meet
    0.78
     dinners
    0.78
     attendees
    0.77
    rooms
    0.76
    Activations Density 0.016%

    No Known Activations