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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. 10-RES-JB
    11. 5141
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    Explanations

    keywords related to technology devices and settings

    oai_token-act-pair · gpt-3.5-turbo

    references to devices and their compatibility issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    chall
    -0.66
     subcontract
    -0.65
    lik
    -0.61
     unaccount
    -0.58
     feud
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     lett
    -0.58
    naire
    -0.57
    vernment
    -0.57
    nin
    -0.57
     confid
    -0.56
    POSITIVE LOGITS
    taboola
    0.78
     Media
    0.77
    PLIED
    0.75
     Enable
    0.73
    iframe
    0.67
    obile
    0.66
     Audio
    0.64
    --------------------------------------------------------
    0.64
     iTunes
    0.64
     Video
    0.63
    Activations Density 0.017%

    No Known Activations