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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. 7509
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    INDEX
    Explanations

    short phrases indicating reading or consuming information

    oai_token-act-pair · gpt-3.5-turbo

    references to full stories or comprehensive reports

    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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    -0.84
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    Tier
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    #$
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    drm
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    Frameworks
    -0.65
    POSITIVE LOGITS
     full
    1.38
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     rest
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    1.16
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    1.08
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    1.07
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    1.04
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    1.02
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    1.02
    Activations Density 0.144%

    No Known Activations