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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. 14216
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    Explanations

    references to Princeton University

    oai_token-act-pair · gpt-3.5-turbo

    references to Princeton University

    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
    orders
    -0.83
    inventory
    -0.78
    doors
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    ifts
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    к
    -0.69
    ACTED
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    WIND
    -0.67
    scroll
    -0.67
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    -0.66
    hold
    -0.66
    POSITIVE LOGITS
     Princeton
    1.07
    eton
    0.88
     Institution
    0.87
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    0.81
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    0.77
     Scholars
    0.76
    ilon
    0.76
    itri
    0.76
     Review
    0.74
    ervative
    0.73
    Activations Density 0.008%

    No Known Activations