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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. 11-RES-JB
    11. 5070
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paio
    -0.82
     Armageddon
    -0.80
    addafi
    -0.79
    pload
    -0.76
     desper
    -0.71
     Calais
    -0.69
    stros
    -0.69
    ãĥ¢
    -0.69
     Gaddafi
    -0.69
     lol
    -0.68
    POSITIVE LOGITS
     curric
    1.29
     classroom
    1.21
     learners
    1.17
     curriculum
    1.15
     scholarly
    1.14
     scholarship
    1.14
     educators
    1.13
     STEM
    1.12
     faculty
    1.12
     academ
    1.08
    Activations Density 0.446%

    No Known Activations