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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. 10-RES-JB
    11. 7859
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    Explanations

    references to organizational structures or systems, specifically emphasizing the importance or implementation of frameworks

    oai_token-act-pair · gpt-3.5-turbo

    references to frameworks and structural concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    pi
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    upe
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    oppable
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    76561
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    inel
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    rooms
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    ilet
    -0.68
    azar
    -0.67
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    hi
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    POSITIVE LOGITS
     framework
    1.14
     frameworks
    0.89
     Framework
    0.83
     encomp
    0.82
    framework
    0.81
     underpin
    0.78
     outline
    0.75
     builder
    0.74
    eworks
    0.73
     agreement
    0.73
    Activations Density 0.039%

    No Known Activations