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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
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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with processes and measurements in scientific and technical contexts

    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
    arij
    -0.67
     Marino
    -0.65
     Mub
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     Rah
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     Judd
    -0.63
    BuyableInstoreAndOnline
    -0.62
     Canary
    -0.60
     Moreno
    -0.60
     Afgh
    -0.59
     Skydragon
    -0.59
    POSITIVE LOGITS
    )).
    0.84
     versus
    0.83
     etc
    0.82
     interact
    0.82
     interacts
    0.75
    eteenth
    0.75
    utics
    0.73
     efficiently
    0.73
    .''.
    0.72
    ographs
    0.72
    Activations Density 0.950%

    No Known Activations