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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. 12-RES-JB
    11. 3102
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    Explanations

    phrases related to education initiatives and training programs

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to educational programs or initiatives focused on language and skills development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    endez
    -0.77
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     Ports
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     Pwr
    -0.71
    ilver
    -0.71
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    -0.70
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    POSITIVE LOGITS
     curric
    2.22
     curriculum
    2.19
     classrooms
    1.97
     textbooks
    1.94
     indoctr
    1.89
     classroom
    1.82
     educators
    1.69
     education
    1.67
     schooling
    1.61
     schools
    1.60
    Activations Density 0.648%

    No Known Activations