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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. 9-RES-JB
    11. 19670
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Viet
    -0.62
     pony
    -0.59
     Madden
    -0.58
     Yoshi
    -0.57
     Champ
    -0.57
     Roy
    -0.56
     Colin
    -0.56
     Teddy
    -0.55
     Gren
    -0.55
     Stur
    -0.54
    POSITIVE LOGITS
    ertodd
    0.72
    minist
    0.70
    xtap
    0.70
    vant
    0.66
    inct
    0.66
    ymes
    0.65
    initely
    0.65
    ptoms
    0.64
     therefore
    0.64
    aneously
    0.64
    Activations Density 1.233%

    No Known Activations