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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. 23081
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    Explanations

    information related to programming courses

    oai_token-act-pair · gpt-3.5-turbo

    references to beginner programming education and user experiences in learning to code

    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
    soType
    -0.81
    Assad
    -0.76
     Ports
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     insurer
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    ãĥķãĤ©
    -0.72
     Anthem
    -0.71
     Predators
    -0.71
    ivery
    -0.68
     Corker
    -0.68
     Toll
    -0.68
    POSITIVE LOGITS
     beginner
    1.53
     beginners
    1.53
     learners
    1.51
     learning
    1.49
    Learning
    1.38
     lear
    1.37
    learning
    1.36
     taught
    1.32
     tutor
    1.30
     teach
    1.29
    Activations Density 1.069%

    No Known Activations