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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. 432
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    Explanations

    keywords related to system settings and adjustments

    oai_token-act-pair · gpt-3.5-turbo

    references to application settings

    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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    女
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    ston
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    athan
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    amen
    -0.67
    INESS
    -0.66
    RECT
    -0.65
    Kay
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    OSS
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    POSITIVE LOGITS
     settings
    1.33
    settings
    1.19
     Settings
    1.10
    ettings
    1.03
    Settings
    0.91
    creen
    0.89
     presets
    0.82
     Setting
    0.79
     configurations
    0.79
     tweaks
    0.78
    Activations Density 0.016%

    No Known Activations