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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. 16487
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    Explanations

    phrases related to displaying information or options

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to displaying or demonstrating information

    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
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    tymology
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    economic
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    istani
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    illet
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    undai
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     perme
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    POSITIVE LOGITS
    biz
    0.88
     Thumbnails
    0.85
    shows
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    CRIPTION
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    runners
    0.81
    ered
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    Hide
    0.81
     highlights
    0.78
    downs
    0.75
    escription
    0.75
    Activations Density 0.048%

    No Known Activations