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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. 3-RES-JB
    11. 8814
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    Explanations

    experiments or experimental procedures mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHAPTER
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    nergy
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    othy
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    headers
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    doms
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     dense
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     Chapters
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    miah
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    ACTED
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    clinton
    -0.57
    POSITIVE LOGITS
    iments
    1.05
    imental
    1.01
    iment
    0.96
     Experiment
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     experiment
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    eers
    0.86
    ally
    0.84
    ually
    0.81
     experimented
    0.76
     disse
    0.76
    Activations Density 0.015%

    No Known Activations