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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. 11-RES-JB
    11. 6468
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Apps
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    Products
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    types
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    classes
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    Types
    -0.99
     Classes
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    -0.98
    stories
    -0.96
    POSITIVE LOGITS
     requirement
    0.84
     thing
    0.83
     clue
    0.82
     hole
    0.80
     stake
    0.80
     counterpart
    0.79
     affair
    0.77
     step
    0.77
     situation
    0.77
     pointer
    0.77
    Activations Density 0.583%

    No Known Activations