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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. 8-RES-JB
    11. 4119
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    keywords related to high definition (HD) technology

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition (HD) technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ingen
    -0.89
    notations
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    hift
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    ococ
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    ortium
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    kers
    -0.76
    soDeliveryDate
    -0.75
    alties
    -0.70
    terday
    -0.70
    ggles
    -0.69
    POSITIVE LOGITS
    PE
    0.95
    TV
    0.93
    Ds
    0.91
    HR
    0.88
    CP
    0.85
    RI
    0.83
    visor
    0.80
    LAN
    0.73
    4000
    0.73
    447
    0.71
    Activations Density 0.028%

    No Known Activations